Cardiovascular Disease Risk in Type 2 Diabetes Mellitus Prediction Model Development Using Machine Learning-Reference-Cited by-同舟云学术

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

Published:2023-09-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
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Author:

Kee Ooi Ting¹,Harun Harmiza¹,Mustafa Norlaila²,Abdul Murad Nor Azian¹,Chin Siok Fong¹,Jaafar Rosmina³,Che Hassan Hamat Hamdi²,Suboh Mohd Zubir⁴,Abdullah Noraidatulakma¹

Affiliation:

1. UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia,Kuala Lumpur,Malaysia

2. Universiti Kebangsaan Malaysia,Faculty of Medicine,Department of Medicine,Kuala Lumpur,Malaysia

3. Universiti Kebangsaan Malaysia,Faculty of Engineering and Built Environment (FKAB),Bangi,Malaysia

4. British Malaysian Institute Universiti Kuala Lumpur,Medical Engineering Technology Section,Kuala Lumpur,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10291172/10291205/10291772.pdf?arnumber=10291772

Reference36 articles.

1. Sequential diagnosis by computer

2. Independent external validation of the QRISK3 cardiovascular disease risk prediction model using UK Biobank

3. EXPERIENCE WITH BAYE'S THEOREM FOR COMPUTER DIAGNOSIS OF CONGENITAL HEART DISEASE*

4. External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature

5. Roles of Anxiety and Depression in Predicting Cardiovascular Disease Among Patients With Type 2 Diabetes Mellitus: A Machine Learning Approach

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