Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study

arXiv:2303.13466v2 Announce Type: replace
Abstract: Post-stroke patient rehabilitation requires precise, personalized treatment plans. Natural Language Processing (NLP) offers potential to extract valuable exercise information from clinical notes, aiding in the development of more effective rehabilitation strategies. Objective: This study aims to develop and evaluate a variety of NLP algorithms to extract and categorize physical rehabilitation exercise information from the clinical notes of post-stroke patients treated at the University of Pittsburgh Medical Center. A cohort of 13,605 patients diagnosed with stroke …

abstract algorithm arxiv clinical cs.ai cs.cl development exercise extract information language language processing mining natural natural language natural language processing nlp notes patient personalized processing strategies stroke study treatment type validation