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

Gumpili Sai Prashanthi   1 , MTech ;   Ayush Deva   2 , BTech ;   Ranganath Vadapalli   1 , BSc ;   Anthony Vipin Das   1 , FRCS

1 Department of eyeSmart EMR & AEye, LV Prasad Eye Institute, Hyderabad, Telangana, India

2 International Institute of Information Technology, Hyderabad , Telangana, India

Corresponding Author:

  • Anthony Vipin Das, FRCS
  • Department of eyeSmart EMR & AEye
  • LV Prasad Eye Institute
  • Kallam Anji Reddy Campus, L V Prasad Marg
  • Hyderabad, Telangana
  • India
  • Phone: 91 9885071960
  • Email: vipin@lvpei.org