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

Development and Evaluation of Research Methods, Instruments and Tools (439) Machine Learning (1400) Natural Language Processing (650)

Published on in Vol 4, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24490, first published .
Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study

Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study

Automated Categorization of Systemic Disease and Duration From Electronic Medical Record System Data Using Finite-State Machine Modeling: Prospective Validation Study

Authors of this article:

Gumpili Sai Prashanthi1 Author Orcid Image ;   Ayush Deva2 Author Orcid Image ;   Ranganath Vadapalli1 Author Orcid Image ;   Anthony Vipin Das1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Allen K, Hood D, Cummins J, Kasturi S, Mendonca E, Vest J. Natural language processing-driven state machines to extract social factors from unstructured clinical documentation. JAMIA Open 2023;6(2) View