Artificial Intelligence Implementation for Development of Socially Significant Disease Prediction and Risk Mitigation Monitoring – Patients Perspective-Reference-Cited by-同舟云学术

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Artificial Intelligence Implementation for Development of Socially Significant Disease Prediction and Risk Mitigation Monitoring – Patients Perspective

Published:2023-08-08 Issue: Volume:8 Page:63-68
ISSN:
Container-title:2023 International Conference on Applied Mathematics & Computer Science (ICAMCS)
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Author:

Kostadinov Rostislav¹,Vicheva Dilyana²,Paunov Lyubomir³,Georgieva Mariya¹,Topalov Vasil¹,Georgiev Svetoslav¹

Affiliation:

1. Medical University of Plovdiv,Department of Epidemiology and Disaster Medicine,Plovdiv,Bulgaria

2. Medical University of Plovdiv,Department of Otorhinolaryngology,Plovdiv,Bulgaria

3. Medical University of Plovdiv,Department of Special Surgery,Plovdiv,Bulgaria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10438514/10438665/10438682.pdf?arnumber=10438682

Reference26 articles.

1. Socially significant diseases and their frequency in general medicine;Alekova;Trakia Journal of Sciences,2010

2. The Global Burden of Cardiovascular Diseases and Risk

3. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019,2020

4. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

5. Preventive visit among older adults with Medicare's introduction of Annual Wellness Visit: Closing gaps in underutilization

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