CloudMedx’s NLP algorithm extracts variables from clinical notes of arthroplasty patients with 96.3% accuracy – Published by UCSF

Title: Data for registry and quality review can be retrospectively collected using natural language processing from unstructured charts of arthroplasty patients Aims: Natural Language Processing (NLP) offers an automated method to extract data from unstructured free text fields for arthroplasty registry participation. Our objective was to investigate how accurately NLP can be used to extract … Continue reading CloudMedx’s NLP algorithm extracts variables from clinical notes of arthroplasty patients with 96.3% accuracy – Published by UCSF