This paper is in the following e-collection/theme issue:

AI in Older Adult Care (26) Information Retrieval (321) Clinical Information and Decision Making (1567) Dementia and Cognitive Decline (554) Electronic Health Records (1131) Secondary Use of Clinical Data for Research and Surveillance (399) Diagnostic Tools in Mental Health (274)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57926, first published .
Extracting Critical Information from Unstructured Clinicians’ Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study

Extracting Critical Information from Unstructured Clinicians’ Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study

Extracting Critical Information from Unstructured Clinicians’ Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study

Authors of this article:

Ravi Prakash1 Author Orcid Image ;   Matthew E Dupre2, 3 Author Orcid Image ;   Truls Østbye2, 4 Author Orcid Image ;   Hanzhang Xu4, 5, 6, 7 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Shankar R, Bundele A, Mukhopadhyay A. Natural language processing of electronic health records for early detection of cognitive decline: a systematic review. npj Digital Medicine 2025;8(1) View