Clinical features-based machine learning models to separate sexually transmitted infections from other skin diagnoses
Many sexual health services are overwhelmed and cannot cater for all the individuals who present with sexually transmitted infections (STIs). Digital health software that separates STIs from non-STIs could improve the efficiency of clinical services. We developed and evaluated a machine learning model that predicts whether patients have an STI based on their clinical features.
Source: Journal of Infection - Category: Infectious Diseases Authors: Nyi N. Soe, Phyu M. Latt, Zhen Yu, David Lee, Cham-Mill Kim, Daniel Tran, Jason J Ong, Zongyuan Ge, Christopher K. Fairley, Lei Zhang Source Type: research
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