Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study

BACKGROUND: Researching people with herpes simplex virus (HSV) is challenging because of poor data quality, low user engagement, and concerns around stigma and anonymity. OBJECTIVE: This project aimed to improve data collection for a real-world HSV registry by identifying predictors of HSV infection...

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Detalles Bibliográficos
Autores principales: Surodina, Svitlana, Lam, Ching, Grbich, Svetislav, Milne-Ives, Madison, van Velthoven, Michelle, Meinert, Edward
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414389/
https://www.ncbi.nlm.nih.gov/pubmed/37725536
http://dx.doi.org/10.2196/25560

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10414389/
https://www.ncbi.nlm.nih.gov/pubmed/37725536
http://dx.doi.org/10.2196/25560

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