Application of artificial intelligence and machine learning for HIV prevention interventions-Reference-Cited by-同舟云学术

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Application of artificial intelligence and machine learning for HIV prevention interventions

Published:2022-01 Issue:1 Volume:9 Page:e54-e62
ISSN:2352-3018
Container-title:The Lancet HIV
language:en
Short-container-title:The Lancet HIV

Author:

Xiang Yang,Du Jingcheng,Fujimoto Kayo,Li Fang,Schneider John,Tao Cui

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Virology,Infectious Diseases,Immunology,Epidemiology

Reference57 articles.

1. Ending the HIV epidemic: a plan for the United States;Fauci;JAMA,2019

2. A survey of autonomous driving: common practices and emerging technologies;Yurtsever;IEEE Access,2020

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1. Early diagnosis of HIV cases by means of text mining and machine learning models on clinical notes;Computers in Biology and Medicine;2024-09

2. Utilization of Machine Learning Algorithms for the Strengthening of HIV Testing: A Systematic Review;Algorithms;2024-08-17

3. Significance of Artificial Intelligence in the Study of Virus–Host Cell Interactions;Biomolecules;2024-07-26

4. Modeling Virus Mutation and T-Cell Dynamics in HIV/AIDS: A Comparative Study using Finite Difference and Physics-Informed Neural Network;2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT);2024-07-04

5. Bridging Health Disparities in the Data-Driven World of Artificial Intelligence: A Narrative Review;Journal of Racial and Ethnic Health Disparities;2024-07-02

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