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Artificial neural networks to predict virological and immunological success in HIV patients under antiretroviral therapy from a nationwide cohort in Colombia, using the SISCAC database

2024-10-28

Abstract excerpt

<h4>Objective</h4> This study aimed to develop predictive models both for viral suppression and immunological reconstitution using a standard set of reported variables in a nationwide database system (SISCAC) from a cohort of patients living with HIV in Colombia. <h4>Materials and Methods</h4> We included 2.182 patients with no missing data related to the outcomes of interest, during a 12 month follow up period. W...

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Literature Corpus work
e7eef690-4092-5331-9a7c-d6b90ac70d21
DOI
10.1101/2024.10.26.24316181
Open publication

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Artificial neural networks to predict virological and immunological success in HIV patients under antiretroviral therapy from a nationwide cohort in Colombia, using the SISCAC databaseDOI 10.1101/2024.10.26.24316181
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