A New Approach to Discovering HIV Symptom and Patient Clusters Using CNICS Data and Topic Modeling

• Published in: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) (Online) pp. 1 - 8
• Main Authors: Cao, Tru, Zhao, Weilu, Wu, Hulin, Giordano, Thomas, Karris, Maile, Napravnik, Sonia, Whisenant, Meagan, Brady, Veronica, Burkholder, Greer, Christopoulos, Katerina, Kitahata, Mari, Cachay, Edward, Gripshover, Barbara, Crane, Heidi, Mayer, Kenneth, Agil, Deana
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.11.2024
• Subjects: Adaptation models; Data models; Dimensionality reduction; Indexes; latent Dirichlet allocation; Predictive models; Resource management; Stability criteria; Statistical analysis; survival analysis; symptom index; Unsupervised learning
• ISSN: 2641-3604
• DOI: 10.1109/BHI62660.2024.10913636

The identification of symptom patterns and assessment of their impacts on relevant health outcomes are important to symptom management and caring for people living with HIV (PWH). Research on HIV symptom clusters has been hampered by small sample sizes, conventional statistical methods not adequatel...