Relevant bibliographies by topics / Malaria Diagnosing System

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Malaria Diagnosing System'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Malaria Diagnosing System"

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O, Adebayo Adewale, Mayowa Fatunke, Uchechi Nwankwo, and Oke G. Odiete. "THE DESIGN AND CREATION OF A MALARIA DIAGNOSING EXPERT SYSTEM." COMPUSOFT: An International Journal of Advanced Computer Technology 02, no. 12 (2013): 442–49. https://doi.org/10.5281/zenodo.14613596.

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Malaria kills about one million, two hundred thousand (1.2 million) people every year. Medical doctors are in limited supply, and provide somewhat expensive services. There is, therefore, the need to build computer-based systems that can assist doctors in diagnosing and recommending treatment for malaria to fill the supply gap and reduce the attendant costs, upon which this research is focused. The expert system would diagnose and recommend treatment of malaria from symptoms and blood test result provided by user patient. The expert system was created based on medical expert information collec
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Koppar, Anant R., and Venugopalachar Sridhar. "Malaria Parasite Detection." International Journal of E-Health and Medical Communications 2, no. 2 (2011): 68–81. http://dx.doi.org/10.4018/jehmc.2011040105.

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Healthcare Delivery Systems are becoming overloaded in developing countries like India and China. It is imperative that more efficient and cost effective processes are employed. One such requirement is the automatic detection of malaria parasites in stained blood smears. Malaria is a mosquito-borne infectious disease. Each year Malaria kills between one and three million people. The most conventional and gold standard test for the confirmation of the Malarial diagnosis is the peripheral blood smear examination. The paper investigates and develops an automated malaria diagnostic system based on
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N G, Shruthi, Maddi Patla Jahnav, Maithry V Pappu, Preksha Chandrakant Wali, and Sri Lakshmi A. Nair. "Quantitative Analysis of Blood Cell Components and Detection of Malarial Parasite (P.Vivax) using Faster R-CNN." Computer Science & Engineering: An International Journal 15, no. 1 (2025): 279–303. https://doi.org/10.5121/cseij.2025.15131.

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This project introduces an advanced automated system utilizing the Faster R-CNN architecture for precise detection of red blood cells (RBCs), white blood cells (WBCs), platelets, and the malarial parasite Plasmodium vivax in blood smear images. To enhance our dataset, we employ two types of Generative Adversarial Networks (GANs): one to generate new, diverse images and Real ESRGAN to improve the resolution and quality of these images, thereby increasing the robustness and performance of our system. Aimed at aiding medical professionals in diagnosing blood disorders and malaria, our system prov
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T. Owoseni, Alaba, and Isaac O. Ogundahunsi. "Mobile-Based Fuzzy Expert System for Diagnosing Malaria (MFES)." International Journal of Information Engineering and Electronic Business 8, no. 2 (2016): 14–22. http://dx.doi.org/10.5815/ijieeb.2016.02.02.

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Selek, Murat, Fatih Basçiftçi, and Serkan Örücü. "Designing medical expert system based on logical reduced rule for basic malaria diagnosis from malaria signs and symptoms." World Journal of Engineering 14, no. 3 (2017): 227–30. http://dx.doi.org/10.1108/wje-10-2016-0112.

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Purpose Malaria is one of the most sinister life-threatening disease and generally transmitted by the bite of an Anopheles mosquito which was infected. These mosquitoes carry the Plasmodium parasite. Worldwide risk of malaria thread is very hard to deal, because of extreme temperature and climate changes which lead to uncontrolled changes in the mosquito population, as many deaths from malaria occur outside the healthcare system and other infections might be misdiagnosed as malaria unless a diagnostic test is done. The purpose of this study is creating a system which is early diagnosing malari
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Murray, Clinton K., and Jason W. Bennett. "Rapid Diagnosis of Malaria." Interdisciplinary Perspectives on Infectious Diseases 2009 (2009): 1–7. http://dx.doi.org/10.1155/2009/415953.

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Malaria's global impact is expansive and includes the extremes of the healthcare system ranging from international travelers returning to nonendemic regions with tertiary referral medical care to residents in hyperendemic regions without access to medical care. Implementation of prompt and accurate diagnosis is needed to curb the expanding global impact of malaria associated with ever-increasing antimalarial drug resistance. Traditionally, malaria is diagnosed using clinical criteria and/or light microscopy even though both strategies are clearly inadequate in many healthcare settings. Hand he
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Maidabara, Abba Hamman, Asabe Sandra Ahmadu, Yusuf Musa Malgwi, and Douglas Ibrahim. "EXPERT SYSTEM FOR DIAGNOSIS OF MALARIA AND TYPHOID." Computer Science & IT Research Journal 2, no. 1 (2021): 1–15. http://dx.doi.org/10.51594/csitrj.v2i1.274.

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An expert system is a computer program designed to solve problems in a domain that has human expertise. The knowledge built into the system is usually obtained from experts in the field. Based on this knowledge, an expert system can replicate the thinking process of the human experts and make logical deductions accordingly. Malaria and Typhoid are major health challenge in our society today (Nigeria), its symptoms can lead to other illness which include prolonged fever, fatigue, headaches, nausea, abdominal pain and constipation or diarrhea. People in endemic areas are at risk of contracting b
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Muttaqin, Muhammad, Meida C. Untoro, Andre Febrianto, et al. "CNN Classification of Malaria Parasites in Digital Microscope Images Using Python on Raspberry Pi." Buletin Ilmiah Sarjana Teknik Elektro 5, no. 1 (2023): 108–20. https://doi.org/10.12928/biste.v5i1.7522.

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Malaria disease occurs because the plasmodium parasite infects human red blood cells spread by female Anopheles mosquitoes and then causes health problems such as blood deficiency and even death. The gold standard of malaria diagnosis is to use laboratory microscopy examination of the patient's red blood cell samples to distinguish between microscope images of parasitic and non-parasitic red blood cells. However, diagnosing malaria through microscope observation is time-consuming, subjective, and tiring for health workers. So, a malaria classification system was designed using the Convolutiona
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Walker, John. "The role of a diagnostic reference laboratory in malaria surveillance." Communicable Diseases Intelligence 20 (June 24, 1996): 302–4. https://doi.org/10.33321/cdi.1996.20.45.

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Australia was declared free of malaria by the World Health Organization in 1981, but the infection has been endemic here in the past. Some tropical regions of the country are still considered to be receptive to its reintroduction. Although the risk of reintroduction is small, it cannot be dismissed. About 700-800 imported cases of malaria are notified in Australia each year. Most of these are imported from neighbouring countries such as Papua New Guinea and the Solomon Islands. A person who had arrived from the Solomon Islands was believed to be the source of a small outbreak of Plasmodium viv
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Choi, Jae-Won, Min-Ji Choi, Yeon-Jun Kim, and So Yeon Kim. "Cloning, Expression, Purification, and Characterization of Lactate Dehydrogenase from Plasmodium knowlesi: A Zoonotic Malaria Parasite." International Journal of Molecular Sciences 25, no. 11 (2024): 5615. http://dx.doi.org/10.3390/ijms25115615.

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Plasmodium knowlesi is the only Plasmodium that causes zoonotic disease among the Plasmodium that cause infection in humans. It is fatal due to its short asexual growth cycle within 24 h. Lactate dehydrogenase (LDH), an enzyme that catalyzes the final step of glycolysis, is a biomarker for diagnosing infection by Plasmodium spp. parasite. Therefore, this study aimed to efficiently produce the soluble form of P. knowlesi LDH (PkLDH) using a bacterial expression system for studying malaria caused by P. knowlesi. Recombinant pET-21a(+)-PkLDH plasmid was constructed by inserting the PkLDH gene int
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Dissertations / Theses on the topic "Malaria Diagnosing System"

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Maude, Richard James. "Retinopathy and central nervous system microcirculatory abnormalities in adult cerebral malaria and their prediction of outcome." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22807.

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Introduction Malaria retinopathy is a set of visible changes in the retina which are specific to falciparum malaria. Studies to date have been mostly limited to comatose African children. Retinal changes in adults with severe malaria and severely unwell patients without malaria have been less well studied and the specificity, pathogenesis, diagnostic and prognostic value of malarial retinopathy in adults are not known. Methods A series of observational studies of retinopathy in Bangladesh, India and Malaysia were done from 2008-2012. The aims were to describe the spectrum of retinal changes in
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FALZONE, YURI MATTEO. "Peripheral Nervous System Involvement in Amyotrophic Lateral Sclerosis: from diagnosis to disease understanding and development of novel biomarkers." Doctoral thesis, Università Vita-Salute San Raffaele, 2022. http://hdl.handle.net/20.500.11768/128353.

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The mainstay of Amyotrophic lateral sclerosis (ALS) diagnosis is the clinical evaluation, and it can be challenging when its first manifestations overlap with those of ALS mimic disorders (ALSmd). The lack of specific diagnostic test prevents an early diagnosis. The definition of prognosis in ALS is hampered by the heterogeneity of its clinical features, with variability in survival being the most salient feature. Therefore, wet biomarkers are needed to aid clinical decision, track disease progression, and better define disease trajectories. Recent advances highlighted neurofilaments as the mo
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Saad, Ali. "Detection of Freezing of Gait in Parkinson's disease." Thesis, Le Havre, 2016. http://www.theses.fr/2016LEHA0029/document.

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Le risque de chute provoqué par le phénomène épisodique de ‘Freeze of Gait’ (FoG) est un symptôme commun de la maladie de Parkinson. Cette étude concerne la détection et le diagnostic des épisodes de FoG à l'aide d'un prototype multi-capteurs. La première contribution est l'introduction de nouveaux capteurs (télémètres et goniomètres) dans le dispositif de mesure pour la détection des épisodes de FoG. Nous montrons que l'information supplémentaire obtenue avec ces capteurs améliore les performances de la détection. La seconde contribution met œuvre un algorithme de détection basé sur des résea
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Martins, Miguel Melo. "Malaria Diagnosis System Based on Electric Impedance Spectroscopy." Master's thesis, 2017. http://hdl.handle.net/10316/83054.

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Trabalho de Projeto do Mestrado Integrado em Engenharia Biomédica apresentado à Faculdade de Ciências e Tecnologia<br>A malária é uma das principais causas de morte em países tropicais e subtropicais, matando anualmente mais de 1 milhão de pessoas em todo o mundo, 90% das quais ocorrem em crianças africanas. Assim, é primordial desenvolver um método de diagnóstico rápido e eficaz para a gestão e controlo da doença. Neste projeto, o objetivo consiste em desenvolver um sistema portátil, fácil de usar e preciso para detectar o pigmento da malária: hemozoína. É também importante que o dispositivo s
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Banoth, Earu. "Absorption Flow-Cytometry for Point-of-Care Diagnostics." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/3620.

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Medical devices are used widely at every stage of disease diagnosis and treatment. To eradicate certain infectious diseases, the development of highly sensitive diagnostic tools and techniques is essential. The work reported in this thesis presents a novel approach, which can be used for the diagnosis of various diseases in the field of clinical cytology. The central theme of this approach was to develop a simple, holistic and completely automated system for point-of-care (POC) diagnostics. This is realized through the Development of an Absorption Flow-Cytometer with Synergistic Integration of
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Banoth, Earu. "Absorption Flow-Cytometry for Point-of-Care Diagnostics." Thesis, 2017. http://etd.iisc.ernet.in/2005/3620.

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Medical devices are used widely at every stage of disease diagnosis and treatment. To eradicate certain infectious diseases, the development of highly sensitive diagnostic tools and techniques is essential. The work reported in this thesis presents a novel approach, which can be used for the diagnosis of various diseases in the field of clinical cytology. The central theme of this approach was to develop a simple, holistic and completely automated system for point-of-care (POC) diagnostics. This is realized through the Development of an Absorption Flow-Cytometer with Synergistic Integration of
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Kalolella, Admirabilis. "Assessing the handling and processing of specimen in the medical laboratory services in Tanzania." Thesis, 2005. http://hdl.handle.net/10500/904.

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In Tanzania laboratory services were observed to be not providing the quality of services required. It is assumed that the perceived discrepancy between malaria diagnosis and confirming laboratory result might be attributed to incompetence of health personnel. Objective The objective of this research was to explore the competence and extend to which health personnel in Muhimbli hospital comply with procedural norms in malaria diagnosis. Methodology A quantitative approach of explorative descriptive design was used. A survey was done using observation guidelines based on existing policie
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Books on the topic "Malaria Diagnosing System"

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Inc, ebrary, ed. The forensic case files: Diagnosing and treating the pathologies of the American health system. World Scientific, 2010.

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Weill, Francis S. Ultrasound diagnosis of digestive diseases. 3rd ed. Springer-Verlag, 1990.

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Yock, Douglas H. Magnetic resonance imaging of CNS disease: A teaching file. Mosby, 1995.

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Holly, Tuokko, and Hultsch David F, eds. Mild cognitive impairment: International perspectives. Taylor & Francis, 2006.

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Matthews, Philippa C. Systemic protozoal infection. Edited by Philippa C. Matthews. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198737773.003.0015.

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This chapter consists of short notes, diagrams, maps, and tables to summarize human systemic protozoal infections, namely malaria, American trypanosomiasis and African trypanosomiasis, leishmaniasis, and toxoplasmosis. For ease of reference, each topic is broken down into sections, including classification, epidemiology, microbiology, pathophysiology, clinical syndromes, diagnosis, treatment, and prevention.
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ICD-10-CM: International classification of diseases 10th revision : clinical modification diagnosis coding system. PMIC, 2013.

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Surgical pathology of the female reproductive system and peritoneum. Raven Press, 1991.

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Hultsch, David F., and Holly A. Tuokko. Mild Cognitive Impairment: International Perspectives. Taylor & Francis Group, 2013.

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Hultsch, David F., and Holly A. Tuokko. Mild Cognitive Impairment: International Perspectives. Taylor & Francis Group, 2015.

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Tuokko, Holly A., and David F. HULTSCH. Mild Cognitive Impairment. Taylor & Francis Group, 2020.

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Book chapters on the topic "Malaria Diagnosing System"

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Usluca, Selma. "Malaria and Molecular Diagnosis." In Molecular Approaches in Medicine. Nobel Tip Kitabevleri, 2024. http://dx.doi.org/10.69860/nobel.9786053359524.2.

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It is an endemic vector-borne parasitic disease caused by protozoan parasites of the genus Plasmodium in tropical and subtropical regions worldwide. In each endemic area, malaria is transmitted by a specific set of Anopheles species. Plasmodium consists of over 200 species, infecting mammals, birds, and reptiles, and malaria parasites generally tend to be host-specific. Plasmodium falciparum, Plasmodium vivax, Plasmodium malariae, Plasmodium ovale, and Plasmodium knowlesi are the five known species of the genus Plasmodium that causes malaria in humans. Of the five Plasmodium species that cause
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Patel, Anita, Jayvadan Patel, Rutvik Patel, and Vidhyut Patidar. "Nanotechnology in Malaria Diagnosis." In Infectious Diseases Drug Delivery Systems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20521-7_4.

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Yadav, Prashant, Sarah Alphs, and Nora Hotte. "Parasite-Based Diagnosis and Its Impact on Health Systems." In Encyclopedia of Malaria. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-8757-9_101-1.

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Awotunde, Joseph Bamidele, Sanjay Misra, Femi Emmanuel Ayo, Akshat Agrawal, and Ravin Ahuja. "Hybridized Support Vector Machine and Adaboost Technique for Malaria Diagnosis." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5191-6_3.

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Awotunde, Joseph Bamidele, Agbotiname Lucky Imoize, Dotun Patrick Salako, and Yousef Farhaoui. "An Enhanced Medical Diagnosis System for Malaria and Typhoid Fever Using Genetic Neuro-Fuzzy System." In Artificial Intelligence and Smart Environment. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26254-8_25.

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Sheeba, Feminna, Joy John Mammen, D. Minnie, and R. Jeromy. "AI-Driven Malaria Diagnosis: Detection of Plasmodium falciparum Rings and Gametocytesin Blood Smear Images Using a Deep Multiclass CNN." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2697-7_19.

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Colbert, Dom. "The Returned Traveller." In MCQs in Travel Medicine. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199664528.003.0020.

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Respiratory illness, fever, diarrhoea, and dermatitis are the four most frequent medical problems in the returned traveller. Unexplained fever is the most urgent of these because febrile conditions such as malaria, meningitis, and typhoid can all deteriorate rapidly and become life-threatening. Respiratory infections are also very common and are often viral in origin. A persistent cough or a doubtful CXR warrants further investigation. Diarrhoea that persists may well be helminthic in origin with giardiasis high on the list. In cases already treated with antibiotics one must consider C. diffic
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Boyom S.F., Kwankam S.Y., Kouam L., Asoh D.A., and Kouokam F.G. "An Intelligent Tutoring System for Malaria Based on the Health-2000 Large-Scale Integrated Expert System." In Studies in Health Technology and Informatics. IOS Press, 1996. https://doi.org/10.3233/978-1-60750-878-6-843.

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In response to the need for converting diagnostic systems into intelligent tutoring systems, we have developed a futuristic tool to assist in the training of doctors, nurses, health technicians and pharmacists. It is part of an integrated hospital information system, christened Health-2000, which combines a system for medical diagnosis and a system for fault diagnosis among its many features. The main function of the intelligent tutoring system is to provide training in two main areas: the development and use of tutorial software aimed at improving health care, and how to combat malaria.
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Balakrishnan, Valarmathi, Sujin Padmanabhan, and Priya Ravi. "ADVANCEMENTS IN MALARIA DIAGNOSIS AND TREATMENT: A COMPREHENSIVE REVIEW OF CURRENT STRATEGIES AND EMERGING INNOVATIONS." In Futuristic Trends in Medical Sciences Volume 3 Book 9. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bfms9p1ch6.

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Malaria continues to pose a significant global health challenge, affecting millions of individuals worldwide. To address this burden, there have been continuous efforts to advance malaria diagnosis and treatment strategies. This comprehensive review presents an in-depth examination of current strategies and emerging innovations in the field of malaria diagnosis and treatment.The review begins with an overview of conventional diagnostic methods, including microscopy and rapid diagnostic tests (RDTs). We assess the strengths and limitations of these methods in different healthcare settings, high
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Gautam, Kanika, Sunil Kumar Jangir, Manish Kumar, and Jay Sharma. "Malaria Detection System Using Convolutional Neural Network Algorithm." In Machine Learning and Deep Learning in Real-Time Applications. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3095-5.ch010.

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Malaria is a disease caused when a female Anopheles mosquito bites. There are over 200 million cases recorded per year with more than 400,000 deaths. Current methods of diagnosis are effective; however, they work on technologies that do not produce higher accuracy results. Henceforth, to improve the prediction rate of the disease, modern technologies need to be performed for obtain accurate results. Deep learning algorithms are developed to detect, learn, and determine the containing parasites from the red blood smears. This chapter shows the implementation of a deep learning algorithm to iden
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Conference papers on the topic "Malaria Diagnosing System"

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Adebiyi, Marion, Ayodele Ariyo Adebiyi, Adebayo-Ajayi Victoria Oluwaseyi, et al. "Development of An Android-Based Expert System for Malaria Diagnosis." In 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG). IEEE, 2024. http://dx.doi.org/10.1109/seb4sdg60871.2024.10630341.

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Oguntimilehin, Abiodun, Olutabo Toluse Berida, Oluwatoyin B. Abiola, et al. "A Multilayer Perceptron Based Mobile Diagnosis System for Malaria Fever." In 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG). IEEE, 2024. http://dx.doi.org/10.1109/seb4sdg60871.2024.10629733.

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Kaushik, Pratham, and Pooja Sharma. "Deep Learning-Based Malaria Detection: A Robust CNN Framework for Accurate and Automated Diagnosis." In 2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI). IEEE, 2025. https://doi.org/10.1109/icmsci62561.2025.10894638.

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Surendar, P., Ch Hussaian Basha, Mohamed Suhail Mohamed Nabi, L.Kavitha, P. Vijayakumar, and S.Surender. "Multi-Modal Deep Learning for Malaria Diagnosis: Integrating CNNs and Vision Transformers for Enhanced Parasite Detection." In 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). IEEE, 2025. https://doi.org/10.1109/icaiss61471.2025.11042087.

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Mehrjou, A., T. Abbasian, and M. Izadi. "Automatic Malaria Diagnosis system." In 2013 First RSI/ISM International Conference on Robotics and Mechatronics (ICRoM 2013). IEEE, 2013. http://dx.doi.org/10.1109/icrom.2013.6510106.

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Rastogi, Aayush, Neeraj Kumar Gupta, and Praveen Kumar Tyagi. "Neurofuzzy inference system for diagnosis of malaria." In 2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH). IEEE, 2014. http://dx.doi.org/10.1109/cipech.2014.7019042.

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Karthik, G., S. Muttan, M. P. Saravanan, R. Seetharaman, and V. Vignesh. "Automated Malaria Diagnosis Using Microscopic Images." In 2019 Third International Conference on Inventive Systems and Control (ICISC). IEEE, 2019. http://dx.doi.org/10.1109/icisc44355.2019.9036458.

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Ibrahim, Mouazamou, Lawani Ismail, Dagba Theophile, Degila Jules, and Amadou Habiboulaye. "Improving the automated estimation of malaria parasite density detection." In International Conference on Artificial Intelligence and Robotics. Machine Intelligence Research Group (MIRG), 2024. https://doi.org/10.52968/15065381.

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Malaria is an extremely deadly disease caused by the Plasmodium parasite, which is transmitted to humans through the bites of infected mosquitoes. The fight against this disease relies on early and accurate diagnosis. However, existing diagnostic tools have significant limitations, which are aggravated by a growing lack of qualified medical professionals globally, making the management of malaria more complicated than ever. Computer vision techniques have been largely used in this domain to propose approaches for combating malaria. While these approaches offer various advantages, they also pre
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Kandula, Ashok Reddy, Srinivas Kalyanapu, Likitha Sai Gottipati, Harika Kamma, Mohitha Munagala, and Priyadarshini Ramachandran. "Revolutionizing Malaria Diagnosis: A Deep Learning Approach." In 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS). IEEE, 2023. http://dx.doi.org/10.1109/icscss57650.2023.10169586.

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Chukwudebe, G. A., E. Ekwuwune, and K. I. Nkuma-Udah. "Medical diagnosis expert system for Malaria and related diseases for developing Countries." In 2017 IEEE 3rd International Conference on Electro-Technology for National Development (NIGERCON). IEEE, 2017. http://dx.doi.org/10.1109/nigercon.2017.8281875.

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Reports on the topic "Malaria Diagnosing System"

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Swaby, James A., James C. McAvin, and Ratree Takhampunya. Test and Evaluation of Field-Deployable Infectious Disease Diagnostic Assays in Support of the Joint Biological Agent Identification and Diagnosis System (JBAIDS): Malaria (Plasmodium/JBAIDS). Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada562427.

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