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1
A Novel Method for Generation of In Silico Subjects with Type 2 Diabetes
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A Novel Method for Generation of In Silico Subjects with Type 2 Diabetes

Visentin, Roberto ; De Lazzari, Mattia

Annual 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.1380

United States

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2
Fuzzy Logic-Based Driven Model for Detection and Prediction of Diabetes Mellitus Type 2
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Fuzzy Logic-Based Driven Model for Detection and Prediction of Diabetes Mellitus Type 2

Godfrey, Kipngetich ; Rushingabigwi, Gerard ; Habtie, Ayalew Belay ; Gatare, Ignace

2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET), 2023, p.1-5

IEEE

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3
Effect of gender and diabetes on major depressive disorder using heart rate asymmetry
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Effect of gender and diabetes on major depressive disorder using heart rate asymmetry

Karmakar, Chandan K. ; Jelinek, Herbert F. ; Warner, Paul ; Khandoker, Ahsan H. ; Palaniswami, Marimuthu

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.6679-6682

United States: IEEE

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4
Cardiovascular Disease Risk in Type 2 Diabetes Mellitus Prediction Model Development Using Machine Learning
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Cardiovascular Disease Risk in Type 2 Diabetes Mellitus Prediction Model Development Using Machine Learning

Kee, Ooi Ting ; Harun, Harmiza ; Mustafa, Norlaila ; Abdul Murad, Nor Azian ; Chin, Siok Fong ; Jaafar, Rosmina ; Che Hassan, Hamat Hamdi ; Suboh, Mohd Zubir ; Abdullah, Noraidatulakma

2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2023, p.61-65

IEEE

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5
Blood glucose prediction by breath analysis system with feature selection and model fusion
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Blood glucose prediction by breath analysis system with feature selection and model fusion

Ke Yan ; Zhang, David

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.6406-6409

United States: IEEE

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6
Analysis of Diabetic Prediction Using Machine Learning Algorithms on BRFSS Dataset
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Analysis of Diabetic Prediction Using Machine Learning Algorithms on BRFSS Dataset

H.N., Lakshmi ; Reddy, A. Srinivasa ; Naidu, Kritika

2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), 2023, p.1024-1028

IEEE

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7
Non-Invasive IoT-Based Embedded Device for Testing Diabetes Mellitus Type 2 for Early Detection and Prediction
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Non-Invasive IoT-Based Embedded Device for Testing Diabetes Mellitus Type 2 for Early Detection and Prediction

Godfrey, Kipngetich ; Gatare, Ignace ; Rushingabigwi, Gerard

2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET), 2023, p.1-5

IEEE

Sem texto completo

8
Principles of Software Engineering for the Cost-Effective Prevention of Type 2 Diabetes (T2D)
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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.489-492

IEEE

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9
Prediction of Insulin-Dependent T2DM in Patients Using Machine Learning Model
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Prediction of Insulin-Dependent T2DM in Patients Using Machine Learning Model

S, Gowthami ; Siva Reddy, R Venkata ; Ahmed, Mohammed Riyaz

2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), 2024, p.797-804

IEEE

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10
Predicting Type 2 Diabetes Using Machine Learning and Flask Web Framework
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Predicting Type 2 Diabetes Using Machine Learning and Flask Web Framework

Gangu, Bharath Kumar ; N, Satyanarayana Murthy ; Ganta, Anudeep ; Gedela, Vinay Sai

2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), 2023, Vol.1, p.1-4

IEEE

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