Protocol for Designing a Model to Predict the Likelihood of Psychosis From Electronic Health Records Using Natural Language Processing and Machine Learning.

Autor: Stavers-Sosa I; Department of Psychiatry, Kaiser Permanente Oakland Medical Center, Oakland, CA, USA.; Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA., Cronkite DJ; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA., Gerstley LD; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA., Kelley A; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA., Kiel L; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA., Kline-Simon AH; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA., Marafino BJ; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA., Ramaprasan A; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA., Carrell DS; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA., Hirschtritt ME; Department of Psychiatry, Kaiser Permanente Oakland Medical Center, Oakland, CA, USA.; Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.

Publikováno v: The Permanente journal [Perm J] 2024 Sep 16; Vol. 28 (3), pp. 23-36. Date of Electronic Publication: 2024 Sep 02.