ArticleThe Journal of infectious diseases2023
Machine Learning Approaches to Understand Cognitive Phenotypes in People With HIV.
Article in The Journal of infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Cognitive Functioning and Its Stability Among Young Adults with Perinatal HIV Exposure or Acquisition in a U.S.-Based Longitudinal Cohort Study.AIDS and behavior · 2026Article
- Digital language measures capture episodic memory disruptions in people with human immunodeficiency virus: A machine learning study.The Clinical neuropsychologist · 2026Article
- A Machine Learning Approach for Identifying People With Neuroinfectious Diseases in Electronic Health Records: Algorithm Development and Validation.JMIR medical informatics · 2025Article
- Cognitive reserve, depressive symptoms, obesity, and change in employment status predict mental processing speed and executive function after COVID-19.European archives of psychiatry and clinical neuroscience · 2025Observational
- Multimodality Fusion Aspects of Medical Diagnosis: A Comprehensive Review.Bioengineering (Basel, Switzerland) · 2024Review
- Multimodal Approach to Neurocognitive Function in People Living with HIV in the cART Era: A Comprehensive Review.Life (Basel, Switzerland) · 2024Review
- Comparison of cerebrospinal fluid, plasma and neuroimaging biomarker utility in Alzheimer's disease.Brain communications · 2024Article
- Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities.AIMS public health · 2024Article
- Biopsychosocial phenotypes in people with HIV in the CHARTER cohort.Brain communications · 2024Article
- CSF Extracellular Vesicle Aβ42 and Tau/Aβ42 Ratio Are Associated with Cognitive Impairment in Older People with HIV.Viruses · 2023Article
- Neurological, Behavioral, and Pathophysiological Characterization of the Co-Occurrence of Substance Use and HIV: A Narrative Review.Brain sciences · 2023Review
- Article
- Translocation of bacterial LPS is associated with self-reported cognitive abilities in men living with HIV receiving antiretroviral therapy.AIDS research and therapy · 2023Article
- Article
- Imaging of Brain Structural and Functional Effects in People With Human Immunodeficiency Virus.The Journal of infectious diseases · 2023Review
- Biotypes of Central Nervous System Complications in People Living With Human Immunodeficiency Virus (HIV): National Institute of Mental Health Perspectives on Advancing the Future of HIV Healthcare.The Journal of infectious diseases · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Cognitive disorders are prevalent in people with HIV (PWH) despite antiretroviral therapy. Given the heterogeneity of cognitive disorders in PWH in the current era and evidence that these disorders have different etiologies and risk factors, scientific rationale is growing for using data-driven models to identify biologically defined subtypes (biotypes) of these disorders. Here, we discuss the state of science using machine learning to understand cognitive phenotypes in PWH and their associated comorbidities, biological mechanisms, and risk factors. We also discuss methods, example applications, challenges, and what will be required from the field to successfully incorporate machine learning in research on cognitive disorders in PWH. These topics were discussed at the National Institute of Mental Health meeting on "Biotypes of CNS Complications in People Living with HIV" held in October 2021. These ongoing research initiatives seek to explain the heterogeneity of cognitive phenotypes in PWH and their associated biological mechanisms to facilitate clinical management and tailored interventions.
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Registered trials
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