A survey of machine learning applications in HIV clinical research and care

Computers in Biology and Medicine

Volumn 91, Issue , 2017, Pages 366-371

  Bisaso, Kuteesa R ^a,b   Anguzu, Godwin T ^a   Karungi, Susan A ^a   Kiragga, Agnes ^a   Castelnuovo, Barbara ^a  

^a MAKERERE UNIVERSITY   (Uganda)

^b Breakthrough Analytics Ltd   (Uganda)

Author keywords

Application paradigms; Clinical research; HIV; Machine learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; SURVEYS;

ANTIRETROVIRALS; CLINICAL APPLICATION; COMPLEX DATASETS; HEALTH RECORDS; MACHINE LEARNING APPLICATIONS; MEDICAL RECORD; NON-PARAMETRIC; RESEARCH COMMUNITIES;

CLINICAL RESEARCH;

ANTIRETROVIRAL THERAPY; CLINICAL RESEARCH; DATA BASE; HEALTH CARE SURVEY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MACHINE LEARNING; PRIORITY JOURNAL; REVIEW; STATISTICAL ANALYSIS; GENETICS; GENOMICS; MEDICAL RESEARCH; PATHOPHYSIOLOGY;

ANTIRETROVIRUS AGENT;

ANTI-RETROVIRAL AGENTS; BIOMEDICAL RESEARCH; GENOMICS; HIV INFECTIONS; HUMANS; MACHINE LEARNING;

EID: 85033376054     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2017.11.001     Document Type: Review

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