Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Ata de Congresso
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A Novel Method for Generation of In Silico Subjects with Type 2 DiabetesVisentin, Roberto ; De Lazzari, MattiaAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021, Vol.2021, p.1380United StatesSem texto completo |
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2 |
Material Type: Ata de Congresso
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Fuzzy Logic-Based Driven Model for Detection and Prediction of Diabetes Mellitus Type 2Godfrey, Kipngetich ; Rushingabigwi, Gerard ; Habtie, Ayalew Belay ; Gatare, Ignace2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET), 2023, p.1-5IEEESem texto completo |
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3 |
Material Type: Ata de Congresso
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Effect of gender and diabetes on major depressive disorder using heart rate asymmetryKarmakar, Chandan K. ; Jelinek, Herbert F. ; Warner, Paul ; Khandoker, Ahsan H. ; Palaniswami, Marimuthu2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.6679-6682United States: IEEETexto completo disponível |
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4 |
Material Type: Ata de Congresso
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Cardiovascular Disease Risk in Type 2 Diabetes Mellitus Prediction Model Development Using Machine LearningKee, Ooi Ting ; Harun, Harmiza ; Mustafa, Norlaila ; Abdul Murad, Nor Azian ; Chin, Siok Fong ; Jaafar, Rosmina ; Che Hassan, Hamat Hamdi ; Suboh, Mohd Zubir ; Abdullah, Noraidatulakma2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2023, p.61-65IEEESem texto completo |
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5 |
Material Type: Ata de Congresso
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Blood glucose prediction by breath analysis system with feature selection and model fusionKe Yan ; Zhang, David2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.6406-6409United States: IEEETexto completo disponível |
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6 |
Material Type: Ata de Congresso
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Analysis of Diabetic Prediction Using Machine Learning Algorithms on BRFSS DatasetH.N., Lakshmi ; Reddy, A. Srinivasa ; Naidu, Kritika2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), 2023, p.1024-1028IEEESem texto completo |
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7 |
Material Type: Ata de Congresso
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Non-Invasive IoT-Based Embedded Device for Testing Diabetes Mellitus Type 2 for Early Detection and PredictionGodfrey, Kipngetich ; Gatare, Ignace ; Rushingabigwi, Gerard2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET), 2023, p.1-5IEEESem texto completo |
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8 |
Material Type: Ata de Congresso
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Principles of Software Engineering for the Cost-Effective Prevention of Type 2 Diabetes (T2D)Kumar, Nellore Manoj ; Kumari, P Lalitha ; Srinivas, Katikireddy ; Prasad, Mal Hari ; Madhavi, M.2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA), 2023, p.489-492IEEESem texto completo |
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9 |
Material Type: Ata de Congresso
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Prediction of Insulin-Dependent T2DM in Patients Using Machine Learning ModelS, Gowthami ; Siva Reddy, R Venkata ; Ahmed, Mohammed Riyaz2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), 2024, p.797-804IEEESem texto completo |
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10 |
Material Type: Ata de Congresso
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Predicting Type 2 Diabetes Using Machine Learning and Flask Web FrameworkGangu, Bharath Kumar ; N, Satyanarayana Murthy ; Ganta, Anudeep ; Gedela, Vinay Sai2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), 2023, Vol.1, p.1-4IEEESem texto completo |