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Artykuły w czasopismach na temat „DM techniques”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Kumar, R., and Pazhanirajan S. "A Review of Diabetes Mellitus Detection using Machine Learning Techniques." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 10, no. 6 (2021): 32–41. https://doi.org/10.35940/ijitee.F8748.0410621.

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Diabetes Mellitus (DM) is a disease that can lead to a multi-organ malfunctioning in patients due to non-regulated diabetes. Recent advancements in machine learning (ML) and artificial intelligence, the early detection and diagnosis of DM is more advantageous than the manual diagnosis through an automated process. It this review, DM's recognition, diagnosis and self-management techniques from six facets, namely DM datasets, techniques involved in pre-processing, extraction of features; identification through ML; classification and diagnosis of DM; intelligent DM assistant based on artifici

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Критська, Я. О., T. O. Білобородова, and І. С. Скарга-Бандурова. "Data mining techniques for IoT analytics." ВІСНИК СХІДНОУКРАЇНСЬКОГО НАЦІОНАЛЬНОГО УНІВЕРСИТЕТУ імені Володимира Даля, no. 5(253) (September 5, 2019): 53–62. http://dx.doi.org/10.33216/1998-7927-2019-253-5-53-62.

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Data mining (DM) is one of the most valuable technologies enable to identify unknown patterns and make Internet of Things (IoT) smarter. The current survey focuses on IoT data and knowledge discovery processes for IoT. In this paper, we present a systematic review of various DM models and discuss the DM techniques applicable to different IoT data. Some data specific features were analyzed, and algorithms for knowledge discovery in IoT data were considered.Challenges and opportunities for mining multimodal, heterogeneous, noisy, incomplete, unbalanced and biased data as well as massive datasets

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Décaudin, Jean-Marc, and Philippe Malaval. "Le lobbying : techniques, intérêts et limites." Décisions Marketing 50 (April 1, 2008): 59–69. http://dx.doi.org/10.7193/dm.050.59.69.

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Décaudin, Jean-Marc, and Philippe Malaval. "Le lobbying : Techniques, intérêts et limites." Décisions Marketing N° 50, no. 2 (2008): 59–69. http://dx.doi.org/10.3917/dm.050.0059.

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Le lobbying, stratégie d’influence du pouvoir politique, exécutif ou législatif s’est développé récemment en France. Cet article essaie de dresser un état des lieux sur cette technique en s’interrogeant sur les objectifs qu’elle poursuit, sur les cibles qu’elle cherche à toucher et sur les moyens plus ou moins spécifiques qu’elle met en œuvre. Enfin, les questions éthiques liées à la pratique du lobbying sont abordées.

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Kumar, R., and Pazhanirajan S. "A Review of Diabetes Mellitus Detection using Machine Learning Techniques." International Journal of Innovative Technology and Exploring Engineering 10, no. 6 (2021): 32–41. http://dx.doi.org/10.35940/ijitee.f8748.0410621.

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Diabetes Mellitus (DM) is a disease that can lead to a multi-organ malfunctioning in patients due to non-regulated diabetes. Recent advancements in machine learning (ML) and artificial intelligence, the early detection and diagnosis of DM is more advantageous than the manual diagnosis through an automated process. It this review, DM's recognition, diagnosis and self-management techniques from six facets, namely DM datasets, techniques involved in pre-processing, extraction of features; identification through ML; classification and diagnosis of DM; intelligent DM assistant based on artificial i

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Liang, Xi, and De Wen Seng. "Research on the Key Techniques for the Construction of a Digital Mine." Applied Mechanics and Materials 182-183 (June 2012): 734–37. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.734.

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The application of digital technology is a trend that holds considerable promise as shown in many applications. This technology includes the means to integrate and interact with diverse multidimensional data. Digital mine (DM) is the result of integrating various disciplines including mine science, information science, computer science and 3S techniques, which will radically change the traditional mine production and our lifestyles. The functions and main characters of DM are analyzed. A framework for a DM operation system is provided. Key techniques concerned in the implementation of DM are d

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Judson, H. G., S. Mckenzie, S. Robinson, A. Nicholls, and A. J. E. Moorhead. "Measurement techniques and yield estimates of fodder beet in Canterbury and Southland." Journal of New Zealand Grasslands 78 (January 1, 2016): 177–80. http://dx.doi.org/10.33584/jnzg.2016.78.502.

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A survey of commercial fodder beet crops across Canterbury and Southland was undertaken to determine average yields and to provide some basic information on commercial crops. Commercial yields were approximately 19 t DM/ha but higher yields (34 t DM/ha) were achievable. Dry matter content (DM%) of bulbs was higher for lighter than for heavier bulbs. Variation in DM% between bulbs was greater than the variation between parts (inner and outer fractions) of the bulb suggesting a rapid method of sampling multiple bulbs may lead to increases in accuracy of DM% assessment. A rapid coring method was

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Reddiex, S. J., S. D. Wratten, G. D. Hill, G. Bourd?t, and C. M. Frampton. "Evaluation of mechanical weed management techniques on weed and crop populations." New Zealand Plant Protection 54 (August 1, 2001): 174–78. http://dx.doi.org/10.30843/nzpp.2001.54.3717.

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One of the main barriers for conventional farmers converting to organic production is weed control An experiment was set up to evaluate the efficacy of three mechanical weed control methods tine weeder spoon weeder and interrow hoe (only in the beans (Phaseolus vulgaris)) in four organically grown crops In borage (Borago officinalis) weed dry matter (DM) was reduced by 41 in tineweeded plots but there was no treatment effect on crop DM or yield There was no treatment effect in the peas (Pisum sativum) In linseed (Linum usitatissimum) mechanical weeding reduced weed DM by 41 and resulted in a 2

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Larceneux, Fabrice. "Segmentation des signes de qualité : Labels experientiels et labels techniques." Décisions Marketing 29 (January 1, 2003): 35–46. http://dx.doi.org/10.7193/dm.029.35.46.

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M., Mayilvaganan*1 S. Malathi2 &. R. Deepa3. "DATA MINING TECHNIQUES FOR THE ANALYSIS OF KIDNEY DISEASE-A SURVEY." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 7 (2017): 616–22. https://doi.org/10.5281/zenodo.829799.

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Data mining is a vital role in several applications such as business organizations, educational institutions, and government sectors, health care industry, scientific and engineering. In the health care industry, the data mining is predominantly used for disease prediction. In India chronic kidney disease is one of the measure causes of death today. Data mining classifiers are used for prediction which can also be used in health area where a large voluminous data is generated. The healthcare industry are used the data mining techniques for predicting the kidney disease from the data set. So th

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Shin, Dae Youp, Bora Lee, Won Sang Yoo, Joo Won Park, and Jung Keun Hyun. "Prediction of Diabetic Sensorimotor Polyneuropathy Using Machine Learning Techniques." Journal of Clinical Medicine 10, no. 19 (2021): 4576. http://dx.doi.org/10.3390/jcm10194576.

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Diabetic sensorimotor polyneuropathy (DSPN) is a major complication in patients with diabetes mellitus (DM), and early detection or prediction of DSPN is important for preventing or managing neuropathic pain and foot ulcer. Our aim is to delineate whether machine learning techniques are more useful than traditional statistical methods for predicting DSPN in DM patients. Four hundred seventy DM patients were classified into four groups (normal, possible, probable, and confirmed) based on clinical and electrophysiological findings of suspected DSPN. Three ML methods, XGBoost (XGB), support vecto

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Pratama, Mudafiq Riyan, Arinda Lironika Suryana, Gamasiano Alfiansyah, Zora Olivia, Ida Nurmawati, and Prawidya Destarianto. "Diagnosis of Stroke and Diabetes Mellitus With Classification Techniques Using Decision Tree Method." International Journal of Health and Information System 2, no. 1 (2024): 1–8. http://dx.doi.org/10.47134/ijhis.v2i1.36.

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: Stroke is a cerebral vascular disease characterized by the death of brain tissue that occurs due to reduced blood and oxygen flow to the brain. Ischemic stroke is associated with diabetes mellitus, therefore it is important to identify the risk factors that cause stroke and DM by diagnostic cause of the disease. This study aimed to classify and compare accuracy tests on medical record data sets for stroke and DM. This study analyzed the diagnosis of stroke and DM using Decision Tree. The risk factors consisted of gender, age, blood pressure, nutritional status, smoking, history of DM, and hi

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Tabben, Montassar, Bianca Miarka, Karim Chamari, and Ralph Beneke. "Decisive Moment: A Metric to Determine Success in Elite Karate Bouts." International Journal of Sports Physiology and Performance 13, no. 8 (2018): 1000–1004. http://dx.doi.org/10.1123/ijspp.2017-0526.

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Purpose: To evaluate the concept of decisive moment (DM) as a novel analysis approach providing insights into factors leading to successful high-performance kumite karate outcomes using time–motion variables. DM represents the moment from which 1 of the 2 opponents uninterruptedly dominates the other until the end of the fight. Methods: A total of 120 elite seniors (60 men and 60 women) World Karate Federation combats were analyzed during 2 World Championships (2012 and 2014). Specific characteristics of karate combat (strategy, technique, tactic, target, and effectiveness) were evaluated and

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Kamalak, A., O. Canbolat, Y. Gurbuz, and O. Ozay. "Comparison of in vitro gas production technique with in situ nylon bag technique to estimate dry matter degradation." Czech Journal of Animal Science 50, No. 2 (2011): 60–67. http://dx.doi.org/10.17221/3996-cjas.

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Dry matter (DM) degradation of wheat straw (WS), barley straw (BS), lucerne hay (LH) and maize silage (MS) was determined using two different techniques: (i) in vitro gas production and (ii) nylon bag degradability technique. In vitro gas production and in situ DM disappearance were measured after 3, 6, 12, 24, 48, 72 and 96 hours of incubation. In situ and in vitro DM degradation kinetics was described using the equation y = a + b (1 &ndash; e<sup>ct</sup>). In all incubations there were significant (P &lt; 0.001) correlations between gas production and in situ DM disappea

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Stroz, Joanna, Christophe Benavent, and Pauline de Pechpeyrou. "L’intérêt des techniques mobile-in-store : le rôle spécifique de l’orientation d’achat." Décisions Marketing 93 (April 5, 2019): 33–51. http://dx.doi.org/10.7193/dm.093.33.51.

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Bernabei, R., P. Belli, A. Incicchitti, and C. J. Dai. "Adopted low background techniques and analysis of radioactive trace impurities." International Journal of Modern Physics A 31, no. 31 (2016): 1642003. http://dx.doi.org/10.1142/s0217751x16420033.

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The application of very low background techniques has a great importance in deep underground experiments devoted to the investigation of the Dark Matter (DM) particles and of other rare processes. In this paper, some related arguments are addressed mainly considering their crucial role in case of inorganic crystal scintillators developed for direct DM investigation and, in particular, in the realization of DAMA/LIBRA apparatus.

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Alzyoud, Mazen, Raed Alazaidah, Mohammad Aljaidi, et al. "Diagnosing diabetes mellitus using machine learning techniques." International Journal of Data and Network Science 8, no. 1 (2024): 179–88. http://dx.doi.org/10.5267/j.ijdns.2023.10.006.

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Diabetes Mellitus (DM) is a frequent condition in which the body's sugar levels are abnormally high for an extended length of time. It is a major cause of death with high mortality rates and the second leading cause of total years lived with disability worldwide. Its seriousness comes from its long-term complications, including nephropathy, retinopathy, and neuropathy leading to kidney failure, poor vision and blindness, and peripheral sensory loss, respectively. Such conditions are life-threatening and affect patients’ quality of life. Therefore, this paper aims to identify the most relevant

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Helme-Guizon, Agnès, and Stéphane Amato. "Favoriser l’achat et la fidélité des internautes : Les apports de la théorie psychosociale de l’engagement." Décisions Marketing N° 34, no. 2 (2004): 53–66. http://dx.doi.org/10.3917/dm.034.0053.

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Cet article s’interroge sur la pertinence d’utiliser la théorie psychosociale de l’engagement pour comprendre et influencer le comportement du consommateur sur les sites marchands. Ainsi, au travers d’exemples de pratiques actuelles de sites Web, il suggère que les techniques qui découlent directement de la théorie de l’engagement, à savoir l’amorçage, le leurre et le pied-dans-la-porte, peuvent être efficacement appliquées. Une étude qualitative explore les réactions développées par les individus lorsqu’ils ont été confrontés à ces techniques sur certains sites, ainsi que leurs comportements

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Bahadır, H. "Diagnostic Value of Digital Breast Tomosynthesis and Synthetic Images in Patients with Breast Cancer." Nigerian Journal of Clinical Practice 26, no. 10 (2023): 1444–48. http://dx.doi.org/10.4103/njcp.njcp_532_22.

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ABSTRACT Background: Different imaging techniques are used in the diagnosis of breast cancer. The low sensitivity of mammography to detect cancer in the dense breast parenchyma and the lack of standard application of digital breast tomosynthesis (DBT) are some of the problems. Therefore, breast cancer imaging techniques should be compared in terms of conspicuity and characterization of lesions. Aim: Full-field digital mammography (DM) and synthetic mammography (SM) which are obtained from the slices of digital breast tomosynthesis (DBT) give similar results in terms of conspicuity and characte

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Muhammad Suleiman, Muhammad, Mukhtar Ibrahim Bello, Shilpa ., and Muhammed Kuliya. "Application of Data Mining Techniques in Education: A Review." Journal of Applied Science, Information and Computing 1, no. 1 (2020): 62–71. http://dx.doi.org/10.59568/jasic-2020-1-1-08.

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Data mining is the process that analyzes large data to find fresh and unknown information that increases industry productivity. In the field of trying, to discover novel and potentially suitable data, DM also be called KDD (Knowledge Discovery in Databases). Currently, DM has been introduced with educational settings, which is called EDM, it is an area of systematic analysis focused on the improvement of discovery approaches in the exclusive types of facts from academic situations and using this approach to effectively understood learners and the settings wherein they learn. EDM is emerging th

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Odou, Philippe, Souad Djelassi, and Bertrand Belvaux. "De l’achat malin au détournement de la promotion." Décisions Marketing N° 55, no. 3 (2009): 9–18. http://dx.doi.org/10.3917/dm.055.0009.

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Les consommateurs comprennent de mieux en mieux les techniques marketing et ne se gênent plus pour les détourner à leur profit. Les ODRistes, c’est-à-dire ceux qui répondent de manière systématique aux offres de remboursement, illustrent bien ce phénomène. A partir de 17 entretiens qualitatifs, cette recherche montre que le simple intérêt économique n’est pas le seul ressort motivationnel de ce comportement. Cette activité est également assimilable à un loisir utile, riche en expérience, en interactions sociales, mais également en affirmation de soi. L’ODRisme est vécu comme une forme active e

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Davizón, Yasser A., Rogelio Soto, José de J. Rodríguez, Ernesto Rodríguez-Leal, César Martínez-Olvera, and Carlos Hinojosa. "Demand Management Based on Model Predictive Control Techniques." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/702642.

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Demand management (DM) is the process that helps companies to sell the right product to the right customer, at the right time, and for the right price. Therefore the challenge for any company is to determine how much to sell, at what price, and to which market segment while maximizing its profits. DM also helps managers efficiently allocate undifferentiated units of capacity to the available demand with the goal of maximizing revenue. This paper introduces control system approach to demand management with dynamic pricing (DP) using the model predictive control (MPC) technique. In addition, we

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Macé, Sandrine. "Techniques de mesure de l’efficacité des promotions des ventes par quatre instituts de panels." Décisions Marketing N° 12, no. 3 (1997): 63–75. http://dx.doi.org/10.3917/dm.012.0063.

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Toute opération promotionnelle nécessite une estimation de sa rentabilité et un suivi des ventes supplémentaires induites. Dans cet article, nous présentons quelques méthodes de collecte de l’information promotionnelle sur le marché des produits de grande consommation puis nous indiquons différentes techniques de mesure de l’impact des promotions sur les ventes, utilisées par quatre instituts de panels français (IRI-Sécodip, MarketingScan, Nielsen, Sécodip).

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Dhuware, RK, SR Pande, and SJ Sharma. "A STUDY OF DM TECHNIQUES IN SOFT COMPUTING FRAMEWORK." International Journal of Advanced Research 6, no. 4 (2018): 128–31. http://dx.doi.org/10.21474/ijar01/6834.

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McMORRIS, M. R., and J. W. WILTON. "VALIDATION OF TECHNIQUES USED IN PREDICTING CONSTANT FINISH ENDPOINT TRAITS FROM BEEF PERFORMANCE TEST INFORMATION." Canadian Journal of Animal Science 66, no. 4 (1986): 1125–29. http://dx.doi.org/10.4141/cjas86-123.

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Independent data sets were used to develop and validate prediction equations for weight at market finish (WM), days to market finish (DM) and feed intake to market finish (FM). Use of information currently collected at most bull test stations allowed accurate prediction of WM, DM and, to a lesser extent, FM. Regression coefficients were similar across the data sets used. Correlations of 0.89, 0.76 and 0.81, respectively, were found between predicted and actual values of WM, DM and FM. Key words: Beef cattle, constant finish, performance test information

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Vengrzhinovskaya, Oksana I., Irina Z. Bondarenko, Olga A. Shatskaia, et al. "Imaging techniques for diffuse myocardial fibrosis as a marker of high cardiovascular risk in young patients with type 1 diabetes mellitus." Terapevticheskii arkhiv 96, no. 12 (2024): 1161–67. https://doi.org/10.26442/00403660.2024.12.203000.

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Background. Type 1 diabetes mellitus (DM 1) disrupts all types of metabolism, especially carbohydrate and lipid ones, leading to many complications. The most serious DM complication is damage to the cardiovascular system (CVS). Prolonged preclinical changes precede the development of pathological processes in the CVS. One of the earliest manifestations of cardiovascular system dysfunction is myocardial remodeling. In patients with DM 1, myocardial remodeling is diagnosed using echocardiography. However, the examination algorithm does not include echocardiography for young patients with DM 1 wi

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Devicharan, Rai M., and S. N. Jagadeesha. "Credit Card Fraud Detection using Machine Learning and Data Mining Techniques - a Literature Survey." International Journal of Applied Engineering and Management Letters (IJAEML) 7, no. 3 (2023): 16–35. https://doi.org/10.5281/zenodo.8190094.

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<strong>Purpose: </strong><em>To understand the algorithms used in Credit Card Fraud Detection (CCFD) using Machine Learning (ML) and Data Mining (DM) techniques, Review key findings in the area and come up with research gaps or unresolved problem. To become knowledgeable about the current discussions in the area of ML and DM.</em> <strong>Design/Methodology/Approach: </strong><em>The survey on CCFD using ML and DM was conducted based on data from academic papers, web articles, conference proceedings, journals and other sources. Information is reviewed and analysed.</em> <strong>Resu

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Onishi, Tatsuki. "Incidence of Postoperative Diabetes Mellitus After Roux-en-Y Reconstruction for Gastric Cancer: Retrospective Single-Center Cohort Study." JMIRx Med 5 (August 14, 2024): e56405-e56405. http://dx.doi.org/10.2196/56405.

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Abstract Background Sleeve gastrectomy is an effective surgical option for morbid obesity, and it improves glucose homeostasis. In patients with gastric cancer and type 2 diabetes mellitus (DM), gastrectomy, including total gastrectomy, is beneficial for glycemic control. Objective This study aims to clarify the effects of gastrectomy and different reconstructive techniques on the incidence of postoperative DM in patients with gastric cancer. Methods This retrospective, single-center, cohort study included 715 patients without DM who underwent total gastrectomy at the Tokyo Metropolitan Bokuto

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Paviot, Geneviève. "Comparaison de deux méthodes de typologie." Décisions Marketing N° 14, no. 2 (1998): 81–88. http://dx.doi.org/10.3917/dm.014.0081.

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L’objectif de cet article est d’appliquer, sur un fichier de voitures diesel, deux techniques de classification: une classification ascendante hiérarchique et une typologie floue. Le marché automobile français est réparti en cinq catégories: les citadines, les compactes, les routières, les grandes routières et les monospaces, breaks. Notre but est de retrouver ces cinq classes à partir des caractéristiques techniques des véhicules. Nous montrons que la typologie floue permet de mieux les faire ressortir par rapport à une typologie classique. Elle identifie non seulement les voitures qui appart

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Rawat, Vandana, and Suryakant. "A Classification System for Diabetic Patients with Machine Learning Techniques." International Journal of Mathematical, Engineering and Management Sciences 4, no. 3 (2019): 729–44. http://dx.doi.org/10.33889/ijmems.2019.4.3-057.

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Diabetes mellitus (DM) is a group of metallic disorder characterized by steep levels of blood glucose prolonged over a time. It results the defection in insulin production or improper action of the cells to the insulin produced. It is one of the significant public health care challenge worldwide. Diabetes exists in a body when pancreas does not construct enough hormone insulin or the human body is not being able to use the insulin properly. The diagnosis of diabetes (diagnosis, etiopathophysiology, therapy etc.) need to generate and process the vast amount of data. Data mining techniques have

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Sulistyana, Caturia Sasti, and Rina Budi Kristiani. "The Effect of Behavioral Therapy with Modeling Techniques on Changes in the Adherence of Diabetes Mellitus Patients." Jurnal Ners dan Kebidanan (Journal of Ners and Midwifery) 8, no. 3 (2021): 360–67. http://dx.doi.org/10.26699/jnk.v8i3.art.p360-367.

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Diabetes Mellitus (DM) is a disease whose prevalence is not infectious increases with changes in lifestyle. If not managed properly, it will cause various complications that reduce quality of life, increase morbidity and mortality, and harm the economy. The success of DM management is strongly influenced by the patient's adherence to medication and diet. One of the interventions to improve the adherence of DM sufferers is Behavior Therapy with modeling techniques. The purpose of this study was to analyze the effect of behavioral therapy with modeling techniques on changes in adherence of DM pa

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Putta, Hemalatha, and Geetha Mary Amalanathan. "Review on class imbalance techniques to strengthen model prediction." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 3 (2025): 1727. https://doi.org/10.11591/ijai.v14.i3.pp1727-1742.

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<p><span lang="EN-US">Data is a fundamental component in various fields, including science, business, health care, and technology. It is often processed, stored, and analyzed using computer systems and software applications. The importance of data lies in its ability to provide valuable insights, drive innovation, and improve decision-making processes. However, it’s essential to handle and manage data responsibly to address privacy and ethical considerations. Data mining (DM) involves discovering patterns, trends, correlations, or useful information from large datasets. Data dredgi

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Aloke, Chinyere, Chinedu Ogbonnia Egwu, Patrick Maduabuchi Aja, et al. "Current Advances in the Management of Diabetes Mellitus." Biomedicines 10, no. 10 (2022): 2436. http://dx.doi.org/10.3390/biomedicines10102436.

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Diabetes mellitus (DM) underscores a rising epidemic orchestrating critical socio-economic burden on countries globally. Different treatment options for the management of DM are evolving rapidly because the usual methods of treatment have not completely tackled the primary causes of the disease and are laden with critical adverse effects. Thus, this narrative review explores different treatment regimens in DM management and the associated challenges. A literature search for published articles on recent advances in DM management was completed with search engines including Web of Science, Pubmed

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Tasnim Mowri, Sadia, Anup Barai, Aniruddha Gupta, and James Marco. "Verification of the Modified Degradation Mode Identification Technique by Employing Electrochemical Impedance Spectroscopy and Differential Voltage Analysis." Batteries 8, no. 12 (2022): 274. http://dx.doi.org/10.3390/batteries8120274.

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For retired automotive lithium-ion batteries, state of health (SoH) is currently utilised to grade them for a second-life application. However, researchers previously challenged this and expressed that, in addition to SoH, the actual degradation mechanism, also known as degradation mode (DM), should be considered for grading, for efficient second-life operation. To date, there is little evidence to support this. A validated DM detection technique for cell/module grading does not exist. A modified DM detection technique by tracking and indexing the incremental capacity (IC) curves was previousl

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El Houby, Enas M. F. "A Framework for Prediction of Response to HCV Therapy Using Different Data Mining Techniques." Advances in Bioinformatics 2014 (December 11, 2014): 1–10. http://dx.doi.org/10.1155/2014/181056.

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Hepatitis C which is a widely spread disease all over the world is a fatal liver disease caused by Hepatitis C Virus (HCV). The only approved therapy is interferon plus ribavirin. The number of responders to this treatment is low, while its cost is high and side effects are undesirable. Treatment response prediction will help in reducing the patients who suffer from the side effects and high costs without achieving recovery. The aim of this research is to develop a framework which can select the best model to predict HCV patients’ response to the treatment of HCV from clinical information. The

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Zappi, Anastasia, Efstratios Papazoglou, and Maria Anagnostou. "Is a Wiggling-Motion Modified Two-Step Impression Technique as Accurate as Conventional Techniques in Restorative Dentistry?" Dentistry Journal 11, no. 5 (2023): 139. http://dx.doi.org/10.3390/dj11050139.

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Background: The purpose of this study was to evaluate dental impression accuracy of one-step and two-step techniques compared to a modified two-step technique. Methods: Four impression techniques were compared: (1) a one-step double mix (DM) technique, (2) a cut-out (CO) technique, in which space relief was created using a blade and a laboratory bur, (3) a membrane (ME) technique, in which space relief was created by placing a PVC membrane on top of the putty material during the primary impression, and (4) a wiggling motion (WI) technique, in which PVC membrane was placed and additional wiggli

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Foshch, T., J. Machado, F. Portela, M. Maksimov, and О. Maksimova. "Comparison of Two Control Programs of the VVER-1000Nuclear Power Unit Using Regression Data Mining Models." Nuclear and Radiation Safety, no. 3(75) (August 22, 2017): 11–17. http://dx.doi.org/10.32918/nrs.2017.3(75).02.

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A load-following mode of nuclear power plants (NPP) is a complicated procedure, since there are significant changes in many interrelated processes. In order to show which control program (CP) of NPP is better to use, data mining (DM) techniques can be introduced. This study proposes a DM approach in order to show a possibility of using DM regression models for NPP. The datasets for DM were obtained by simulating two static CP of VVER-1000 NPP in Simulink software of Matlab program package.

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Salazar, Juan, Carla Navarro, Ángel Ortega, et al. "Advanced Glycation End Products: New Clinical and Molecular Perspectives." International Journal of Environmental Research and Public Health 18, no. 14 (2021): 7236. http://dx.doi.org/10.3390/ijerph18147236.

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Diabetes mellitus (DM) is considered one of the most massive epidemics of the twenty-first century due to its high mortality rates caused mainly due to its complications; therefore, the early identification of such complications becomes a race against time to establish a prompt diagnosis. The research of complications of DM over the years has allowed the development of numerous alternatives for diagnosis. Among these emerge the quantification of advanced glycation end products (AGEs) given their increased levels due to chronic hyperglycemia, while also being related to the induction of differe

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Dafriani, Putri, and Putri Minas Sari. "Faktor gaya hidup Faktor Gaya Hidup yang Mempengaruhi Kejadian Diabetes Mellitus Di Kota Padang Tahun 2020." E-Jurnal Medika Udayana 10, no. 12 (2021): 6. http://dx.doi.org/10.24843/mu.2021.v10.i12.p02.

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Background: Diabetes Mellitus (DM) is one of the diseases with an increasing incidence rate. One of the influential factors in DM is life style. The purpose of this study is to find out the relationship between age, diet, and stress with the incidence of DM. Method: This study is a cross-sectional study that has been conducted ethical clearance of previous research. Sampling techniques were conducted using accidental sampling with 89 of samples. Data is collected by using guided interviews and FFQ (Food Frequency Questionnaire). Results: Bivariate analysis by using chi-square found that there

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Yahya, Anwar. "Self-Protection Techniques and Their Relationship on Mental Alertness for The Students of College of Education for Humanities." مجلة دراسات موصلیة 16, no. 66 (2023): 158–88. http://dx.doi.org/10.33899/dm.2023.177274.

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Malaval, Philippe. "La promotion des ventes en marketing Business-to-Business." Décisions Marketing N° 27, no. 3 (2002): 7–18. http://dx.doi.org/10.3917/dm.027.0007.

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La promotion des ventes a fait l’objet de nombreuses publications, illustrées principalement par des applications choisies dans les secteurs de la grande consommation ainsi que sur le circuit de la grande distribution (1, 3, 4, 5, 10). Cet article se propose de faire le point sur le développement des techniques promotionnelles appliquées au marketing inter-organisationnel. Il s’attache à montrer comment les outils de la promotion sont utilisables dans le secteur industriel. Il s’agira, dans un premier temps, de rappeler les principaux objectifs fixés à la promotion des ventes et d’analyser les

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Labbé-Pinlon, Blandine, Cindy Lombart, and Didier Louis. "Quelle technique promotionnelle privilégier pour défendre le pouvoir d’achat des consommateurs." Décisions Marketing N° 56, no. 4 (2009): 23–35. http://dx.doi.org/10.3917/dm.056.0023.

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Quelles techniques promotionnelles devraient être privilégiées pour défendre le pouvoir d’achat des consommateurs : les réductions de prix immédiates ou les lots virtuels ? Une expérimentation menée en magasin laboratoire a tout d’abord montré que les lots virtuels sont perçus comme moins intéressants que les réductions de prix immédiates. En outre, ils augmentent les dépenses des consommateurs en les incitant à acheter en plus grande quantité les produits en promotion pour bénéficier de la remise mais aussi, indirectement, d’autres produits hors promotion. Les réductions de prix immédiates so

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Sarmento, Rui, Luís Trigo, and Liliana Fonseca. "Predicting Business Bankruptcy." International Journal of Social and Organizational Dynamics in IT 5, no. 2 (2016): 48–65. http://dx.doi.org/10.4018/ijsodit.2016070105.

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Managers, investors, financial institutions and government agencies have a major concern on forecasting enterprise bankruptcy. It enables the sustainability assessment of critical suppliers and clients, as well as competitors and the business environment. Throughout the 20th and the 21st century, advances in statistics and computer science fields enabled the development of different trends in financial distress assessment that co-exist today. However, recent Data Mining (DM) techniques are regarded as being the most precise. IT expertise requirements in the constantly evolving DM field may hav

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.., Rahul, Shiv Shakti .., and Aditi Sharma. "Predicting Student Performance Using Educational Data Mining and Learning Analytics Technique." Journal of Intelligent Systems and Internet of Things 10, no. 2 (2023): 24–37. http://dx.doi.org/10.54216/jisiot.100203.

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Data analysis is an essential component of decision support in various industries that includes industrial and educational institutions. This research proposes Data Mining (DM) techniques to improve the efficiency of higher education (HE) institutions. DM has a substantial impact on different higher education activities including student performances, management of student’s life cycle, selection of courses, monitoring of retention rate, grants funds management by using technique’s such as clustering, decision trees (DT), and association. Educational Data Mining (EDM) is an interdisciplinary s

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Klobouk, Abel H., and Alejandro Varela. "Concrete minimal 3 × 3 Hermitian matrices and some general cases." Demonstratio Mathematica 50, no. 1 (2017): 330–50. http://dx.doi.org/10.1515/dema-2017-0032.

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Abstract Given a Hermitian matrix M ∈ M3(ℂ) we describe explicitly the real diagonal matrices DM such that ║M + DM║ ≤ ║M + D║ for all real diagonal matrices D ∈ M3(ℂ), where ║ · ║ denotes the operator norm. Moreover, we generalize our techniques to some n × n cases.

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Bernabei, R., and A. Incicchitti. "Low background techniques in NaI(Tl) setups." International Journal of Modern Physics A 32, no. 30 (2017): 1743007. http://dx.doi.org/10.1142/s0217751x17430072.

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The application of very low background techniques is fundamental in deep underground experiments dedicated to the investigation of rare processes. In this paper, the case of NaI(Tl) detectors is discussed mainly considering their crucial role for direct Dark Matter (DM) investigation. In particular, the DAMA/LIBRA apparatus, as a result of a long-standing activity focused on the optimization of NaI(Tl) detectors, is underlined.

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Moscoso Piedra, Andres, Marco Muñoz, Daniel Argudo Garzon, et al. "COMPARISON OF CHARACTERIZATION OF FIGHTING ROOSTER (Gallus gallus) SEMEN EJACULATES RECOVERED BY ELECTROEJACULATION AND DORSAL MASSAGE TECHNIQUES." SPERMOVA 11, no. 1 (2021): 32–38. http://dx.doi.org/10.18548/aspe/0009.05.

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Implementing alternatives methods to dorsal massage (e.g., electroejaculation) for recovering semen from fighting rooster, known to be very stressful due to its aggressiveness, has become a priority for breeders of this cock breed in Ecuador. Therefore, the objective of the present study was to evaluate two semen collection techniques in fighting roosters, one by electroejaculation (EE) and another by dorsal massage (DM) on seminal quality parameters. For this purpose, thirty attempts of semen recovery from six adult Spanish fighting roosters were carried out using DM (n = 12) and EE (n = 18).

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Lombardi, Valentina, Michele La Rocca, and Pietro Prestininzi. "A new dynamic masking technique for time resolved PIV analysis." Journal of Visualization 24, no. 5 (2021): 979–90. http://dx.doi.org/10.1007/s12650-021-00756-0.

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Abstract Time resolved PIV encompassing moving and/or deformable objects interfering with the light source requires the employment of dynamic masking (DM). A few DM techniques have been recently developed, mainly in microfluidics and multiphase flows fields. Most of them require ad-hoc design of the experimental setup, and may spoil the accuracy of the resulting PIV analysis. A new DM technique is here presented which envisages, along with a dedicated masking algorithm, the employment of fluorescent coating to allow for accurate tracking of the object. We show results from measurements obtaine

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Galan, Jean-Philippe, and Éric Vernette. "Vers une 4 ème génération : les études de marché « on-line »." Décisions Marketing N° 19, no. 1 (2000): 39–52. http://dx.doi.org/10.3917/dm.019.0039.

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Après les études manuelles, informatisées, automatisées, l’Internet offre la possibilité d’un nouveau saut technologique pour le recueil et le traitement des données nécessaires à la réalisation d’une étude de marché. Cet article présente et évalue les différentes techniques quantitatives et qualitatives disponibles pour conduire ce nouveau type d’étude on-line .

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Maharani, Hanifah, Yoga Adhi Dana, and Cyntia Ratna Sari. "PENGARUH EDUKASI IBU PEDULI DM TERHADAP PENGETAHUAN DAN PERILAKU PENCEGAHAN DM." FLORONA : Jurnal Ilmiah Kesehatan 1, no. 1 (2022): 28–42. http://dx.doi.org/10.55904/florona.v1i1.76.

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This study aims to find out the influence of education of DM-concerned mothers on changes in knowledge and behavior of DM prevention. Quacy experimental study using the pre-test post-test design with control group. The study took the maternal population in Japanese villages, with purposive sampling techniques. Bivariate analysis tested differences in average results and changes in knowledge, as well as maternal behavior before and after intervention in one group tested with paired t-tests while between groups using independent ttest . The correlation test with Pearson and Rank spearman, while

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