Psychosis Relapse Prediction Leveraging Electronic Health Records Data and Natural Language Processing Enrichment Methods
Dong Yun Lee, Chungsoo Kim, Seongwon Lee, Sang Joon Son, Sun-Mi Cho, Yong Hyuk Cho, Jaegyun Lim, Rae Woong Park
IF 3.2Frontiers in Psychiatry
초록
We developed prediction models for psychosis relapse using the NLP-enrichment method. Models using clinical notes were more effective than models using only structured data, suggesting the importance of unstructured data in psychosis prediction.
키워드
Health recordsPsychosisPsychologySchizophrenia (object-oriented programming)PsychiatryComputer scienceMedicineData scienceHealth care