Details

Autor(en) / Beteiligte

• Schmalzle, Sarah A
• Maroosis, Demetri
• Masur, Henry
• Kottilil, Shyam
• Mathur, Poonam

Titel

Use of a machine learning model to predict retention in care in an urban HIV clinic

Ist Teil von

• AIDS (London), 2024-01, Vol.38 (1), p.125-127

Ort / Verlag

England

Erscheinungsjahr

2024

Quelle

MEDLINE

Beschreibungen/Notizen

• Identifying barriers to retention in care (RIC) is critical to ending the HIV epidemic in the United States. Therefore, we developed a machine learning model (MLM) to identify predictive factors for RIC in an urban HIV clinic. Our MLM yielded a positive predictive value of 84%, higher than previously reported MLMs. We found that MLM can be used to develop interventional strategies to enhance RIC in HIV care.