Machine-learning classification of neurocognitive performance in children with perinatal HIV initiating de novo antiretroviral therapy-Reference-Cited by-同舟云学术

Machine-learning classification of neurocognitive performance in children with perinatal HIV initiating de novo antiretroviral therapy

Published:2020-04-01 Issue:5 Volume:34 Page:737-748
ISSN:0269-9370
Container-title:AIDS
language:en
Short-container-title:

Author:

Paul Robert H.,Cho Kyu S.,Belden Andrew C.,Mellins Claude A.,Malee Kathleen M.,Robbins Reuben N.,Salminen Lauren E.,Kerr Stephen J.,Adhikari Badri,Garcia-Egan Paola M.,Sophonphan Jiratchaya,Aurpibul Linda,Thongpibul Kulvadee,Kosalaraksa Pope,Kanjanavanit Suparat,Ngampiyaskul Chaiwat,Wongsawat Jurai,Vonthanak Saphonn,Suwanlerk Tulathip,Valcour Victor G.,Preston-Campbell Rebecca N.,Bolzenious Jacob D.,Robb Merlin L.,Ananworanich Jintanat,Puthanakit Thanyawee

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Infectious Diseases,Immunology,Immunology and Allergy

Reference65 articles.

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3. Poor quality of life among untreated Thai and Cambodian children without severe HIV symptoms;Bunupuradah;AIDS Care,2012

4. Early antiretroviral therapy improves neurodevelopmental outcomes in infants;Laughton;AIDS Lond Engl,2012

5. Five year neurodevelopment outcomes of perinatally HIV-infected children on early limited or deferred continuous antiretroviral therapy;Laughton;J Int AIDS Soc,2018

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