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

Artificial Intelligence (1746) Clinical Information and Decision Making (1661) Natural Language Processing (803) Ontologies, Classifications, and Coding (271) Dementia and Cognitive Decline (591) Information Seeking, Information Needs (529) Decision Support for Health Professionals (1341) Machine Learning (1741)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47739, first published .
Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study

Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study

Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study

Authors of this article:

John Laurentiev1 Author Orcid Image ;   Dae Hyun Kim1, 2, 3 Author Orcid Image ;   Mufaddal Mahesri1 Author Orcid Image ;   Kuan-Yuan Wang4 Author Orcid Image ;   Lily G Bessette1 Author Orcid Image ;   Cassandra York1 Author Orcid Image ;   Heidi Zakoul1 Author Orcid Image ;   Su Been Lee1 Author Orcid Image ;   Li Zhou1, 2 Author Orcid Image ;   Kueiyu Joshua Lin1, 2, 5 Author Orcid Image
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New in JMIR: Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional #Study https://t.co/pUeqg0F2Up https://t.co/itVjSP3NRP

4:20 PM · Feb 13, 2024

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RT @jmirpub: New in JMIR: Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Cl…

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Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study https://t.co/6AJGU1Cl3E https://t.co/I5kH5HR2ez

6:41 PM · Feb 13, 2024

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