Open AccessMachine learning classification of false-positive human immunodeficiency virus screening results
Author(s) -
Mahmoud Elkhadrawi,
Bryan Stevens,
Bradley Wheeler,
Murat Akçakaya,
Sarah Wheeler
Publication year - 2021
Publication title -
journal of pathology informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 17
ISSN - 2153-3539
DOI - 10.4103/jpi.jpi_7_21
Subject(s) - false positive paradox , classifier (uml) , machine learning , support vector machine , workflow , artificial intelligence , computer science , human immunodeficiency virus (hiv) , hiv diagnosis , false positives and false negatives , medicine , immunology , viral load , antiretroviral therapy , database