Using Bayesian Networks For Predicting Hypertension Risk Factors-Reference-Cited by-同舟云学术

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Using Bayesian Networks For Predicting Hypertension Risk Factors

Published:2023-12-01 Issue: Volume:32 Page:1885-1891
ISSN:
Container-title:2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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Author:

Varshney Neeraj¹,Madan Parul²,Michaelson Jacob³,Laxminarayanamma K⁴,Yadav Vijay Kumar⁵,Kumar Navneet⁶

Affiliation:

1. GLA University,Department of Computer Engineering and Applications,Mathura

2. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun,Uttarakhand,India

3. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Chennai,India

4. Institute of Aeronautical Engineering,Department of Information Technology,Hyderabad,Telangana

5. Lloyd Institute of Engineering & Technology,Greater Noida

6. Lloyd Law College,Greater Noida

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433942/10434287/10434383.pdf?arnumber=10434383

Reference55 articles.

1. Machine Learning Can Improve Clinical Detection of Low BMD: The DXA-HIP Study

2. A new cone-beam computed tomography–driven index for osteoporosis prediction

3. Application of Machine Learning to Identify Clinically Meaningful Risk Group for Osteoporosis in Individuals Under the Recommended Age for Dual-Energy X-Ray Absorptiometry

4. Development of a model for identification of individuals with high risk of osteoporosis

5. A proactive model to predict osteoporosis: An artificial immune system approach

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