Identification of Potential Drug-Drug Interactions Using EMR Text-Mining on Atherosclerotic Heart Disease Patients-Reference-Cited by-同舟云学术

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Identification of Potential Drug-Drug Interactions Using EMR Text-Mining on Atherosclerotic Heart Disease Patients

Published:2024-07-04 Issue: Volume:107 Page:112-118
ISSN:
Container-title:2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
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Author:

Fuadi Mukhlish¹,Wibawa Adhi Dharma²,Njoto Edwin Nugroho³,Buntoro Ghulam Asrofi¹

Affiliation:

1. Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering,Surabaya,Indonesia

2. Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering, Dept. of Medical Technology,Surabaya,Indonesia

3. Institut Teknologi Sepuluh Nopember,Faculty of Medicine and Health,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616252/10617449/10617451.pdf?arnumber=10617451

Reference35 articles.

1. The atherosclerotic heart disease and protecting properties of garlic: contemporary data

2. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016

3. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

4. The changing face of cardiovascular disease 2000–2012: An analysis of the world health organisation global health estimates data

5. Atherosclerotic Disease: Pathogenesis and Approaches to Management;Morrison;Medical Clinics of North America,2023

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