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Journal articles on the topic 'Materia Medica, classification'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2025

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1

Xie, Chengkun. "Study on the Classification and Publication of Dahe Materia Medica—Focusing on the Comparison with Compendium of Materia Medica." Journal of Education, Teaching and Social Studies 4, no. 1 (2022): p43. http://dx.doi.org/10.22158/jetss.v4n1p43.

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The development of modern Japanese materia medica began with the passing of the Book Compendium of Materia Medica to Japan. With the spread and popularity of compendium of Materia Medica and the influence of Confucian thoughts such as “learning from things to know”, Beiyuan Yixuan, a Confucianist, herbalist and naturalist, has become Japan’s first original materia medica natural history work - Daiwa materia medica. Among them, there are 772 kinds collected from compendium of Materia Medica, except for the parts not owned by Japan, 203 kinds collected from other bibliographies, 358 kinds produc

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Long, Chang Jiang, Peng Wan, and Xuan Li. "Traditional Chinese Medicine Clustering Analysis Based on Near-Infrared Spectroscopy." Applied Mechanics and Materials 239-240 (December 2012): 219–22. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.219.

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The Chinese materia medica is classified into several categories according to the major treatment function by experience in the traditional Chinese Medicine. This classification should have material basis. As the medicines have so many ingredients, it is hard to only use the chemical methods and biochemistry methods to analyze the Chinese materia medica. Near infrared spectroscopy is a nondestructive testing method and it can provide structural information of organic molecules which are the main effective components of the Chinese materia medica. We firstly get the NIR spectrum of some Chinese

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3

Dawa, Dr, and Tsering D. Gonkatsang. "Materia Medica of Tibetan Medicine: Identification, Quality Check and Protection Measures." Asian Medicine 5, no. 2 (2009): 407–32. http://dx.doi.org/10.1163/157342109x568892.

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This paper discusses the relationship between Tibetan medical theory and practice with respect to the classification of Materia Medica and the discernment of quality and potency. Based on more than thirty years of experience as a Tibetan medical practitioner, the author describes a number of specific Materia Medica in detail, with an emphasis on how to determine fake from authentic ingredients. The author also offers recommendations and guidance on proper cultivation techniques and conservation methods, in line with Tibetan textual sources on the subject, in combination with empirical knowledg

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Zhang, Guang-Ping, Hong-Ping Hou, and Zu-Guang Ye. "Toxicity Classification and Detoxification Strategies of Chinese Materia Medica." World Journal of Traditional Chinese Medicine 1, no. 4 (2015): 33–37. http://dx.doi.org/10.15806/j.issn.2311-8571.2015.0005.

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Liu, Xinmin, Qiong Wang, Guangqing Song, Guangping Zhang, Zuguang Ye, and Elizabeth M. Williamson. "The Classification and Application of Toxic Chinese Materia Medica." Phytotherapy Research 28, no. 3 (2013): 334–47. http://dx.doi.org/10.1002/ptr.5006.

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Choi, Hae Byoul. "The Compilation of Pulu(譜錄) during the Song Period and the Transmission of Materia Medica Knowledge". Korean Association for the Social History of Medicine 15 (30 квітня 2025): 171–202. https://doi.org/10.32365/kashm.2025.15.6.

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The Song period (960-1279) was marked by the widespread compilation of Pulu (譜錄), which are collections of knowledge and information about specific animals, plants, and objects which were primarily led by literati-officials (士大夫). This study examines how the compilation of Pulu during the Song period influenced the transmission and expansion of materia medica knowledge in later periods, focusing in particular on citations of Song Pulu found in the Bencaogangmu (本草綱目). Through this analysis, this study seeks to understand the role of Song literati-officials in the transmission of materia medica

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Wangyal, Rigdzin, Tawni Tidwell, Wüntrang Dhondrup, et al. "Dataset of materia medica in Sowa Rigpa: Tibetan medicine botanicals and Gawé Dorjé’s classification system." Data in Brief 33 (December 2020): 106498. http://dx.doi.org/10.1016/j.dib.2020.106498.

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Purohit, Hitesh G., Khyati Dodiya, and Ravina Tadvi. "A case of viral hepatitis C treated with homoeopathy." Journal of Integrated Standardized Homoeopathy 6 (December 26, 2023): 144–51. http://dx.doi.org/10.25259/jish_46_2022.

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The individual’s susceptibility helps keep the disease at bay; when the vital force alters normal body function also gets disturbed, which results in altered susceptibility and lowered immunity. It affects not only physiological function but also affects the mind. This case report demonstrates the evolution of the patient’s core and illness. It demonstrates the importance of understanding the pathogenesis of the disease and the role of symptom classification, selection of characteristic symptoms, repertorisation, and materia medica differentiation in the process of arriving at the right remedy

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Sigrist, René, and Sonia Zanier. "La botanique dans un contexte local: les jardins de Florence à l’époque des grands-ducs (1569–1859)." Gesnerus 74, no. 1 (2017): 5–52. http://dx.doi.org/10.1163/22977953-07401001.

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This article describes the social and institutional conditions of the practice of botany in early modern Florence. This practice started with the study of medical plants in hospital and university contexts, with the passion of the Medicis for gardens, and the interest of the Vallombrosian monks for cryptogams. During the XVIIIth century, science of plants focused on classification (morphology), pharmacology (materia medica) and vegetable physiology, but included also the inventory of Tuscan flora and agronomy. These diverging aims created tensions within the nascent community of botanists, cry

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Ghimire, Suresh K., and Yildiz Aumeeruddy-Thomas. "Ethnobotanical classification and plant nomenclature system of high altitude agro-pastoralists in Dolpo, Nepal." Botanica Orientalis: Journal of Plant Science 6 (March 15, 2010): 56–68. http://dx.doi.org/10.3126/botor.v6i0.2912.

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This paper describes the findings of ethnobotanical research conducted in Tibetan community of agro-pastoralists in Dolpo, northwest Nepal. We assessed vernacular classification and plant nomenclature system with a particular focus on medicinal plants. We aimed to encompass the interpretation of semantic categories, as well as observing directly how people relate to plants in all material and symbolic aspects of their life. The methodology used consisted of village-level group meetings, indoor semi-structured interviews, in situ open interviews and resource mapping. The results showed that a s

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Jin, R. "Classification of 365 Chinese medicines in Shennong's Materia Medica Classic based on a semi-supervised incremental clustering method." Journal of Chinese Integrative Medicine 9, no. 6 (2011): 665–74. http://dx.doi.org/10.3736/jcim20110614.

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Xiang, Jun-Yan, Yan-Yu Chi, Jin-Xin Han, Hongyu Xiang, and Qiuhong Xie. "The Toxicity and Attenuation Methods of Toxic Chinese Materia Medica for its Reasonable Application: A Review." American Journal of Chinese Medicine 49, no. 01 (2021): 41–67. http://dx.doi.org/10.1142/s0192415x21500038.

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Over a millennia, traditional Chinese medicine (TCM) has been used to treat various diseases in China. In recent years, more and more Chinese materia medica (CMM) have been studied in scientific research projects, applied in clinical practice, and their extracts have even appeared in some health products. However, the toxicity of some CMM is often overlooked, including hepatotoxicity, nephrotoxicity, neurotoxicity, cardiotoxicity, etc. In this review, the toxic components and their toxicological mechanisms of some toxic CMM were listed according to the chemical structure classification of toxi

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Scholten, Jan. "Introduction to the Plant Theory." Homœopathic Links 30, no. 02 (2017): 079–85. http://dx.doi.org/10.1055/s-0037-1602391.

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AbstractThis article is a short introduction to the Plant theory. It describes the application of the theory with the use of the Remedy code. The Remedy code is a short code of seven digits or numbers that describe the position and classification of each plant. It is a kind of short Materia Medica. The first digit stands for the kingdom, which is 3 in the case of the Plant kingdom. The next three digits stand for series as known from the Element theory. The next two digits, digits 5 and 6, stand for Phases. Phases are similar to the Stages of the Element theory. The difference is that there ar

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Meng, Jihua, Xinyan You, Xiaobo Zhang, et al. "Remote Sensing Application in Chinese Medicinal Plant Identification and Acreage Estimation—A Review." Remote Sensing 15, no. 23 (2023): 5580. http://dx.doi.org/10.3390/rs15235580.

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Chinese Materia Medica Resources (CMMRs) are crucial for developing the tradition and industry of traditional Chinese medicine. Given the increasing demand for CMMRs, an accurate and effective understanding of CMMRs is urgently needed. Chinese medicinal plants (CMPs) are the most important sources of CMMRs. Traditional methods of investigating medicinal plant resources have limitations, including severe subjectivity and poor timeliness, which make it difficult to meet the demand for real-time monitoring of large-scale medicinal plant resources. In recent years, remote sensing technology has be

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Assis de Souza, Mônica Filomena, and Leoni Bonamin. "Goethe´s nature observation and Materia medica methods crossing-over: a systematic tool to formulate homeopathic preparations for environmental purposes." International Journal of High Dilution Research - ISSN 1982-6206 24, no. 1 (2024): 23–24. https://doi.org/10.51910/ijhdr.v24i1.1496.

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Anamnesis, classification of symptoms and repertorization are the usual techniques for establishing a homeopathic treatment. However, the approach to be used for plants and the environment is still a challenge. In this paper, a new technique is proposed to select treatments for ultra-complex living systems that include several interconnected species (ecosystems), potentially significantly facilitating the practice of environmental homeopathy. Based on the crossing of two classic methods, Goethe's observation of nature [1] and homeopathic materia medica, this technique has shown promising resul

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Thomaz, Luciana Costa Lima. "Symptomatic nucleus of homeopathic remedies: remedies derived from carbon as case-study." International Journal of High Dilution Research - ISSN 1982-6206 8, no. 26 (2021): 15–25. http://dx.doi.org/10.51910/ijhdr.v8i26.330.

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Homeopathic clinical practice requires both accuracy and agility in diagnosis and prescription of treatment during real-time consultations. Several approaches have been attempted to facilitate this process including different criteria to group homeopathic remedies. This study sought to establish whether classification according to the chemical composition of substances used as basis of homeopathic remedies have correspondence in the experimental homeopathic materia medica. Methods: The homeopathic remedies derived from carbon were selected as case-study. The experimental symptoms of these reme

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Zhabon, Yumzhana Zh, and Darima V. Dashibalova. "Typological Description of the Tibetan Medicine Dictionaries by Mongolian and Buryat Authors from the Tibetan Fonds of the COMX of the IMBTS SB RAS and the IOM RAS." Herald of an archivist, no. 3 (2020): 651–63. http://dx.doi.org/10.28995/2073-0101-2020-3-651-663.

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The paper offers an analysis and a classification of lexicographic works on Tibetan medicine compiled by Mongolian and Buryat authors in the 18-20th centuries. The analysis of main topics of these works and of their terminology allow us to distinguish three types of dictionaries: (1) specialized mngon brjod dictionaries of synonyms of Tibetan materia medica compiled for their correct identification; (2) bilingual and monolingual bsdus ming glossaries that contain explanations of words and concepts of the rgyud bzhi and commentaries; and (3) general and terminological brda yig dictionaries with

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18

Silvestri, Giovanna. "The law of similars: current biases in its application." International Journal of High Dilution Research - ISSN 1982-6206 11, no. 40 (2021): 187. http://dx.doi.org/10.51910/ijhdr.v11i40.610.

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Background and Aims. Homeopathic prescription is based on the so-called law of similars, i.e. 1) on a patient sharing symptoms with the artificial and reversible disease caused by a drug taken in the state of health in a proving (Materia Medica Pura); 2) on systematic observations of pathogenetic effects due to accidental drug abuse (toxicology). However, in contemporary homeopathy, distortions in the application of the law are not infrequent, and they will be considered here. Methods. Two main biases are described and analyzed: 1) the shift towards the law of the same, concerning method

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Choudhary, Nishi, Sharma S.K., Deepak Verma, and Priyanka 4. "AN INTRODUCTION ABOUT SODHALA NIGHANTU." February 2021 9, no. 2 (2021): 415–22. http://dx.doi.org/10.46607/iamj1509022021.

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Ayurveda classics have many effective herbs to be evaluated for its own identity. In order to have a perfect understanding of the medicinal plants it is therefore most essential to be familiar with the branch of Ayur-vedic Pharmacology i.e. “Dravyaguna Vigyan” which provides the scientific knowledge of the fundamen-tals of Ayurvedic medicinal properties with their pharmacological action. Ayurvedic history can be divided into three time periods – Vedic period, Samhita period, Nighantu period. The Nighantu period is the golden period of the Ayurvedic Materia Medica literature. Many Nighantus or

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20

Deng, Fei, and Shengliang Pu. "Single-Class Data Descriptors for Mapping Panax notoginseng through P-Learning." Applied Sciences 8, no. 9 (2018): 1448. http://dx.doi.org/10.3390/app8091448.

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Machine learning-based remote-sensing techniques have been widely used for the production of specific land cover maps at a fine scale. P-learning is a collection of machine learning techniques for training the class descriptors on the positive samples only. Panax notoginseng is a rare medicinal plant, which also has been a highly regarded traditional Chinese medicine resource in China for hundreds of years. Until now, Panax notoginseng has scarcely been observed and monitored from space. Remote sensing of natural resources provides us new insights into the resource inventory of Chinese materia

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21

Nosacheva, Marina, and Nataliya Danilina. "Types of Compound Word-Formation in Medical Terminology (On the Material of the German Language)." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 2. Jazykoznanije, no. 4 (December 2019): 145–56. http://dx.doi.org/10.15688/jvolsu2.2019.4.11.

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The aim of the study is to optimize the classification of the types of the compound word-building with components of Greek and Latin origin; the research is based on the sample of 2882 substantive compound terms of the German clinical terminology. The researches apply the descriptive analytical and quantitative methods to the study. It is stated, that the words with complex morphemic structures can be formed by composite and non-composite types of word-building. The paper presents the complex classification of different ways of the compound word-formation considering following criteria: the ty

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22

Pak, Natalya S. D. "Английские вторично-предикативные структуры в медицинском дискурсе: к проблеме классификации". Vestnik of Northern (Arctic) Federal University. Series Humanitarian and Social Sciences, № 3 (20 вересня 2024): 109–18. http://dx.doi.org/10.37482/2687-1505-v366.

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English secondary-predicative structures have been sufficiently studied within various paradigms and approaches. Nevertheless, research on this phenomenon is still relevant at the intersection of grammar and discourse as a cognitive phenomenon related to the creation, operation and transmission of knowledge. From this point of view, the semi-complex sentence with secondary-predicative structures is seen as a reflection of cognitive processing of knowledge and its integration to create new knowledge. The aim of this paper is to identify the peculiarities of English secondary-predicative structu

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23

kizi Kosimova, Nargis Sunnat. "Typology Of Materials On The Environmental Topic In The Media Of Uzbekistan." American Journal of Social Science and Education Innovations 02, no. 12 (2020): 27–31. http://dx.doi.org/10.37547/tajssei/volume02issue12-06.

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The article discusses the issues of classification of materials of the media in Uzbekistan on environmental topics, analyzes the state of environmental journalism in the republic and identifies shortcomings in the presentation of environmental information and its impact on the formation of environmental thinking of the population. The author of the study revealed and analyzed the shortcomings of the theoretical base on the problems of media coverage of environmental problems, highlight the typology of environmental journalism in Uzbekistan,consider the problems of forming the ecological cultur

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Esra Tarigan, Juniko, and Nurhayati Surbakti. "ANALISIS PEMBUATAN MEDIA GAMBAR PADA MATERI PENGGOLONGAN HEWAN di SD NEGERI 068007 MEDAN TUNTUNGAN." SCHOOL EDUCATION JOURNAL PGSD FIP UNIMED 11, no. 3 (2021): 226–31. http://dx.doi.org/10.24114/sejpgsd.v11i3.30131.

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This study aims to improve science learning by using Picture Media on the Theme of Animal Classification at SD Negeri 068007 Medan Tuntungan for the 2020/2021 Academic Year. This study uses a type of quantitative research. The test results of the questionnaire instrument were analyzed to determine the validity and reliability of the use of graphic/image-based learning media in PBM. From the validity test table above, it shows that of the 10 question items obtained from the Google form questionnaire and managed through validity testing with rtable using a significant level of = 0.05 with n = 9,

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Pao JuChen and Wei Kai Liou. "Augmented Reality and Artificial Intelligence Medical Waste Classification System and Method." International Journal of Nursing Education 16, no. 1 (2024): 52–57. http://dx.doi.org/10.37506/awehje57.

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There are four categories of medical waste that cannot be mixed as this will cause serious problems suchas environmental pollution or infection. In the past, the classification of medical waste often involved a lot ofhuman and material resources to process, with workers at risk of exposure to infectious substances. Therefore, an augmented reality (AR) and artificial intelligence (AI) medical waste classification system and method were developed. This innovative medical waste classification system and method combines AR and AI identification technology to reduce the risk of manual judgment erro

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Xing, Wenchao, and Yilin Bei. "Medical Health Big Data Classification Based on KNN Classification Algorithm." IEEE Access 8 (2020): 28808–19. http://dx.doi.org/10.1109/access.2019.2955754.

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Mahdi, Nour Muhammad Salih, Ayad K. Hassan, Fatima J. Al-Hasani, and Waleed Ameen Mahmoud Al-Jawher. "Classification Of Biomaterials and Their Applications." Journal Port Science Research 7, no. 3 (2024): 281–99. http://dx.doi.org/10.36371/port.2024.3.7.

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Biomaterials, designed to interact with living systems, play a vital role in various medical applications. Classifying these materials effectively is crucial for understanding their properties and ensuring optimal use. Biomaterials are classified based on their chemical composition, structure, and properties relevant for biological applications. In this paper five types of Biomaterials classification methods are given namely. Chemical, Functional, Source of biomaterials, Structural and Smart levels classification. Each of these five-biomaterial classification method offers unique advantages an

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Chang, Lee Wei, Azrin Md Kasim, Nuratiqah Mohamad Norpi, and Norshahzila Idris. "Research Classification using the Malaysian Research and Development Classification System (MRDCS)." Journal of Research Management and Governance 5, no. 1 (2023): 50–60. http://dx.doi.org/10.22452/jrmg.vol5no1.4.

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Classifying research projects or research publication into research areas is crucial in many statistical analyses including for example in bibliometric analysis. Research publication classification usually takes place at the level of journals, where subject categories based on available databases like the Web of Science or SciVal are some of the popular classification systems. However, journal-level classification systems have limitation especially when classifying multidisciplinary journals. To overcome this limitation, it is suggested that a classification system that can classify research b

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Gul, Saira, Moizza Sahar, Tooba Fateen, Faheem Shahzad, Ghulam Mustafa, and Ismat Ullah. "Classification of Glanzmann’s Thrombasthenia patients on flow cytometry." Journal of Akhtar Saeed Medical & Dental College 06, no. 04 (2024): 146–52. https://doi.org/10.51127/jamdcv06i04oa03.

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Background: Glanzmann’s Thrombasthenia (GT) is an autosomal recessive platelet disorder caused by mutations in the ITGA2B and ITGB3 genes, leading to partial or complete deficiency of the GPIIb/IIIa (CD41/CD61) complex on platelets, causing a quantitative or qualitative defects of platelet fibrinogen receptors αIIbβ3 glycoprotein complex. This results in abnormal platelet aggregation, diminished clot retraction and mild to severe bleeding episodes. Affected individuals suffer from lifelong moderate to severe bleeding, mostly mucocutaneous in nature. The present study was designed to characteri

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Aditya, Kumar Tripathi, and Sharma Anu. "Techniques for Data Mining Prediction in the Health Care Sector." International Journal of Innovative Research in Computer Science and Technology (IJIRCST) 11, no. 03 (2023): 32–37. https://doi.org/10.5281/zenodo.8113551.

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Data mining is another term for knowledge discovery in databases (KDD). It's an interdisciplinary field that focuses on rooting meaningful knowledge from data in all sectors similar as health, education, and business. Currently, with the covid epidemic affecting everyone and rising coronavirus cases causing nursing home beds, oxygen, vaccines and individuals to be denied by hospitals, the health structure of the elderly is in the spotlight. There's a wealth of information accessible in the medical world about these diseases. Data booby-trapping concepts may be used to prize meaningful

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Anis J, Kazi, Dr Sameer Shafi, Waghmare Harsh, et al. "A Comprehensive Review on Nanoparticle Classification and Synthesis Methods." Asian Journal of Pharmaceutical Research and Development 11, no. 6 (2023): 36–43. http://dx.doi.org/10.22270/ajprd.v11i6.1336.

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Nanoparticles synthesis and the study of their size and properties are important in medicine as well as biological fields nanotechnology using nanoparticles such as metals, semiconductors and metal oxides are of great interest for a wide of variety of applications in the field of data, energy, environmental and medical tools due to their unique or improved properties. Current review focus on nanoparticle, types, characterization and most advanced application related to nanotechnology.It has the potential to revolutionize a series of medical and biotechnology tools and procedures so that they a

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Pooja, P.* Krishnananda Kamath K. A. R. Shabaraya. "A Review on: Smart Hydrogel Materials for Local Delivery Drugs." International Journal of Pharmaceutical Sciences 3, no. 4 (2025): 3055–63. https://doi.org/10.5281/zenodo.15280727.

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Hydrogels are highly hydrated mesh networks formed from natural, synthetic, or semi-synthetic polymers, which are physically or covalently crosslinked. This class of material is used for local drug delivery because they provide high biocompatibility, drug protection, control of the drug release, and physicochemical modifications. Furthermore, hydrogels enable the encapsulation and the delivery of drugs covering wide range of properties, including small molecules, proteins and nucleic acids. Hydrogels are attractive materials for the controlled release of therapeutics because of their capacity

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Paunović-Pantić, Jovana, Danijela Vučević, Igor Pantić, Svetlana Valjarević, and Tatjana Radosavljević. "Development of random forest machine learning model for the detection of changes in liver tissue after exposure to iron oxide nanoparticles." Medicinska istrazivanja 57, no. 1 (2024): 21–26. http://dx.doi.org/10.5937/medi57-46969.

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Introduction/Aim: The aim of our study was to create a machine learning model, specifically a random forest model, which uses textural data from liver micrographs to differentiate between normal hepatic tissue and damaged tissue exposed to iron oxide nanoparticles. Material and Methods: Regions of interest in micrographs of hepatic tissue, obtained from mice treated with iron oxide nanoparticles and controls, were analyzed using the gray-level co-occurrence matrix (GLCM) method. The resulting GLCM features were employed as input data for the training and testing of the random forest model usin

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Ahmad, Syed Sajid, Arun Shankaran, Fred Haring, Justin Vignes, Bernd Scholz, and Aaron Reinholz. "Characterization of Substrate Materials For End-Use Environment Classification." International Symposium on Microelectronics 2010, no. 1 (2010): 000076–83. http://dx.doi.org/10.4071/isom-2010-ta3-paper3.

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With the expansion of the use of sensors in everyday life, especially in medical and security fields, it has become pertinent that a substrate be chosen which is not only compatible with the sensor functionality and its manufacturing flow but also with the use environment of the sensor. Roll-to-roll manufacturability is also an important consideration along with the quality, reliability and cost of the end product. Material advances have provided a wide variety of choices which need to be studied and understood for competitive applications. In this study, a sample of the results of the evaluat

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Harno, K., P. Nykänen, and K. Häyrinen. "Use of Headings and Classifications by Physicians in Medical Narratives of EHRs." Applied Clinical Informatics 02, no. 02 (2011): 143–57. http://dx.doi.org/10.4338/aci-2010-12-ra-0073.

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Summary Objective: The purpose of this study was to describe and evaluate patient care documentation by hospital physicians in EHRs and especially the use of national headings and classifications in these documentations Material and Methods: The initial material consisted of a random sample of 3,481 medical narratives documented in EHRs during the period 2004-2005 in one department of a Finnish central hospital. The final material comprised a subset of 1,974 medical records with a focus on consultation requests and consultation responses by two specialist groups from 871 patients. This electro

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Notina, Elena Aleksandrovna, and Vladimir Mikhailovich Maevskiy. "The problem of non-equivalent medical vocabulary from German into Russian on the material of medical texts." Acta Scientiarum. Language and Culture 42, no. 2 (2020): e52468. http://dx.doi.org/10.4025/actascilangcult.v42i2.52468.

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The article is devoted to the problem of medical translation of non-equivalent terms from German into Russian. The purpose of the article is to identify the most frequent non-equivalent medical terms when translating into Russian in the most popular online medical journals in German. Research methods include a content analysis of the scientific literature on the research topic, classification of non-equivalent medical vocabulary and methods for its translation from German; frequency-functional analysis of medical terms in the German language. Research objectives include: content analysis of sc

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INDIAMINOV, SAYIT I., AZIZA E. DAVRANOVA, and MUKHSINA R. RASULOVA. "THE SIGNIFICANCE OF CLASSIFICATIONS OF MECHANICAL INJURIES OF THE ORGANS OF VISION FOR SOLVING THE PROBLEMS OF FORENSIC MEDICAL EXAMINATION." Bulletin of Contemporary Clinical Medicine 15, no. 6 (2022): 34–39. http://dx.doi.org/10.20969/vskm.2022.15(6).34-39.

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Abstract. Introduction. The development of a unified classification of injuries of the organ of vision is necessary not only for clinicians, but it is also important for forensic medical experts, both for scientific developments and for solving practical forensic problems, especially in cases of examination of injuries of mechanical origin to establish the severity of the harm caused to health. Aim. Aim is to identify the most rational classification of mechanical injuries of the organ of vision to solve the problems of forensic medical examination of damage to these structures. Material and m

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Fenci, Giulia E., and Neil GR Currie. "Deployable structures classification: A review." International Journal of Space Structures 32, no. 2 (2017): 112–30. http://dx.doi.org/10.1177/0266351117711290.

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Deployable structures have the capacity to transform and predictably adopt multiple predetermined configurations, moving through known paths, while deploying in a controlled and safe way. These characteristics introduce benefits when considering issues such as ease of transportation, erection and the overall sustainability of the structure by means of high material efficiency, modularisation and maximum use of natural energy resources. The aim of this article is to provide a critical review of existing attempts at classifying deployable structures identifying connections between different fami

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Iqbal, Saeed, Adnan N. Qureshi, Amin Ullah, Jianqiang Li, and Tariq Mahmood. "Improving the Robustness and Quality of Biomedical CNN Models through Adaptive Hyperparameter Tuning." Applied Sciences 12, no. 22 (2022): 11870. http://dx.doi.org/10.3390/app122211870.

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Deep learning is an obvious method for the detection of disease, analyzing medical images and many researchers have looked into it. However, the performance of deep learning algorithms is frequently influenced by hyperparameter selection, the question of which combination of hyperparameters are best emerges. To address this challenge, we proposed a novel algorithm for Adaptive Hyperparameter Tuning (AHT) that automates the selection of optimal hyperparameters for Convolutional Neural Network (CNN) training. All of the optimal hyperparameters for the CNN models were instantaneously selected and

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Vaiyapuri, Thavavel, Liyakathunisa, Haya Alaskar, Eman Aljohani, S. Shridevi, and Abir Hussain. "Red Fox Optimizer with Data-Science-Enabled Microarray Gene Expression Classification Model." Applied Sciences 12, no. 9 (2022): 4172. http://dx.doi.org/10.3390/app12094172.

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Microarray data examination is a relatively new technology that intends to determine the proper treatment for various diseases and a precise medical diagnosis by analyzing a massive number of genes in various experimental conditions. The conventional data classification techniques suffer from overfitting and the high dimensionality of gene expression data. Therefore, the feature (gene) selection approach plays a vital role in handling a high dimensionality of data. Data science concepts can be widely employed in several data classification problems, and they identify different class labels. In

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Chaudhari, Sachin V., Jayamangala Sristi, R. Gopal, M. Amutha, V. Akshaya, and Vijayalakshmi P. "Optimizing biocompatible materials for personalized medical implants using reinforcement learning and Bayesian strategies." Scientific Temper 15, no. 01 (2024): 1619–25. http://dx.doi.org/10.58414/scientifictemper.2024.15.1.08.

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This study presents a comprehensive research methodology integrating computational approaches, statistical analysis, and visualization techniques to predict biocompatible materials for medical implants and evaluate predictive model performance (Whiting K. 2020, October). The initial phase involves data acquisition and preprocessing, organizing a representative dataset into a pandas data frame. Visualization of the dataset through bar, pie, and line charts provides insights into relationships between materials and functional attributes. The subsequent phase focuses on evaluating a predictive mo

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Salmi, Mika. "Additive Manufacturing Processes in Medical Applications." Materials 14, no. 1 (2021): 191. http://dx.doi.org/10.3390/ma14010191.

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Additive manufacturing (AM, 3D printing) is used in many fields and different industries. In the medical and dental field, every patient is unique and, therefore, AM has significant potential in personalized and customized solutions. This review explores what additive manufacturing processes and materials are utilized in medical and dental applications, especially focusing on processes that are less commonly used. The processes are categorized in ISO/ASTM process classes: powder bed fusion, material extrusion, VAT photopolymerization, material jetting, binder jetting, sheet lamination and dire

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Bocklitz, Thomas, Melanie Putsche, Carsten Stüber, et al. "A comprehensive study of classification methods for medical diagnosis." Journal of Raman Spectroscopy 40, no. 12 (2009): 1759–65. http://dx.doi.org/10.1002/jrs.2529.

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Shevchenko, Olga V., and Nataliia V. Kuzmynchuk. "The Methodical Approaches to the Classification of Ukraine’s Territories for the Recovery and the Regional Economy Administration." PROBLEMS OF ECONOMY 3, no. 53 (2022): 104–11. http://dx.doi.org/10.32983/2222-0712-2022-3-104-111.

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The study is aimed at forming the methodological approaches to combining different classifications of territories of Ukraine in order to develop an instrumentarium for their recovery and long-term development. This involves the implementation of the latest approaches to the short-term management of territories and their strategizing. A consideration of the works of scholars demonstrated the lack of a coordinated system of separation of territories (in the presence of several classifications of territories in accordance with the levels of their development) for the needs of socioeconomic recove

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Izonin, Ivan, Andriy Trostianchyn, Zoia Duriagina, Roman Tkachenko, Tetiana Tepla, and Nataliia Lotoshynska. "The Combined Use of the Wiener Polynomial and SVM for Material Classification Task in Medical Implants Production." International Journal of Intelligent Systems and Applications 10, no. 9 (2018): 40–47. http://dx.doi.org/10.5815/ijisa.2018.09.05.

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Chien, Jong-Chih, Jiann-Der Lee, Ching-Shu Hu, and Chieh-Tsai Wu. "The Usefulness of Gradient-Weighted CAM in Assisting Medical Diagnoses." Applied Sciences 12, no. 15 (2022): 7748. http://dx.doi.org/10.3390/app12157748.

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In modern medicine, medical imaging technologies such as computed tomography (CT), X-ray, ultrasound, magnetic resonance imaging (MRI), nuclear medicine, etc., have been proven to provide useful diagnostic information by displaying areas of a lesion or tumor not visible to the human eye, and may also help provide additional recessive information by using modern data analysis methods. These methods, including Artificial Intelligence (AI) technologies, are based on deep learning architectures, and have shown remarkable results in recent studies. However, the lack of explanatory ability of connec

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Stomps, Jordan R., Paul P. H. Wilson, Kenneth J. Dayman, Michael J. Willis, James M. Ghawaly, and Daniel E. Archer. "SNM Radiation Signature Classification Using Different Semi-Supervised Machine Learning Models." Journal of Nuclear Engineering 4, no. 3 (2023): 448–66. http://dx.doi.org/10.3390/jne4030032.

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The timely detection of special nuclear material (SNM) transfers between nuclear facilities is an important monitoring objective in nuclear nonproliferation. Persistent monitoring enabled by successful detection and characterization of radiological material movements could greatly enhance the nuclear nonproliferation mission in a range of applications. Supervised machine learning can be used to signal detections when material is present if a model is trained on sufficient volumes of labeled measurements. However, the nuclear monitoring data needed to train robust machine learning models can be

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Shin, Hyunji, Soomin Jeon, Youngsoo Seol, Sangjin Kim, and Doyoung Kang. "Vision Transformer Approach for Classification of Alzheimer’s Disease Using 18F-Florbetaben Brain Images." Applied Sciences 13, no. 6 (2023): 3453. http://dx.doi.org/10.3390/app13063453.

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Dementia is a degenerative disease that is increasingly prevalent in an aging society. Alzheimer’s disease (AD), the most common type of dementia, is best mitigated via early detection and management. Deep learning is an artificial intelligence technique that has been used to diagnose and predict diseases by extracting meaningful features from medical images. The convolutional neural network (CNN) is a representative application of deep learning, serving as a powerful tool for the diagnosis of AD. Recently, vision transformers (ViT) have yielded classification performance exceeding that of CNN

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Reuss, Joana, Guillem Pascual, Hagen Wenzek, and Santi Seguí. "Sequential Models for Endoluminal Image Classification." Diagnostics 12, no. 2 (2022): 501. http://dx.doi.org/10.3390/diagnostics12020501.

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Wireless Capsule Endoscopy (WCE) is a procedure to examine the human digestive system for potential mucosal polyps, tumours, or bleedings using an encapsulated camera. This work focuses on polyp detection within WCE videos through Machine Learning. When using Machine Learning in the medical field, scarce and unbalanced datasets often make it hard to receive a satisfying performance. We claim that using Sequential Models in order to take the temporal nature of the data into account improves the performance of previous approaches. Thus, we present a bidirectional Long Short-Term Memory Network (

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Yuanze, Zhang. "Peculiarities of studying military terminology in the Russian language." Philology and Culture, no. 1 (March 20, 2023): 89–93. http://dx.doi.org/10.26907/2782-4756-2023-71-1-89-93.

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The article studies the concept of “military terminology” in modern Russian. The relevance of the study is due to the widespread use of military terminology in the media and the rapid advancement of weapons technology. The aim of our research is to study the features of military terminology in modern Russian. The research methods are: the study of scientific literature on the topic, the analysis and the classification. The article distinguishes between the concepts of “military vocabulary” and “military terminology”, defining military terminology as a significant part of military vocabulary. T

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