Machine-learning classification of neurocognitive performance in children with perinatal HIV initiating de novo antiretroviral therapy
Author(s) -
Robert Paul,
Kyu S. Cho,
Andrew C. Belden,
Claude A. Mellins,
Kathleen Malee,
Reuben N. Robbins,
Lauren E. Salminen,
Stephen J. Kerr,
Badri Adhikari,
Paola M. Garcia-Egan,
Jiratchaya Sophonphan,
Linda Aurpibul,
Kulvadee Thongpibul,
Pope Kosalaraksa,
Suparat Kanjanavanit,
Chaiwat Ngampiyaskul,
Jurai Wongsawat,
Vonthanak Saphonn,
Tulathip Suwanlerk,
Victor Valcour,
Rebecca N. PrestonCampbell,
Jacob D. Bolzenious,
Merlin L. Robb,
Jintanat Ananworanich,
Thanyawee Puthanakit
Publication year - 2019
Publication title -
aids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.195
H-Index - 216
eISSN - 1473-5571
pISSN - 0269-9370
DOI - 10.1097/qad.0000000000002471
Subject(s) - neurocognitive , antiretroviral therapy , sida , medicine , human immunodeficiency virus (hiv) , pediatrics , lentivirus , viral disease , psychology , virology , viral load , psychiatry , cognition
To develop a predictive model of neurocognitive trajectories in children with perinatal HIV (pHIV).
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