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

Development and Evaluation of Research Methods, Instruments and Tools (481) Machine Learning (1465) Natural Language Processing (692)

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 (5) Tweetations (1) Metrics

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  2. Behera U, Salzman B, Das A, Prashanthi G, Lalakia P, Derman R, Panigrahy B. Prevalence of chronic disease in older adults in multitier eye-care facilities in South India: Electronic medical records-driven big data analytics report. Indian Journal of Ophthalmology 2021;69(12):3618 View
  3. Hamati J, Das A, Sai Prashanthi G, Behera U, Narayanan R, Rani P. Factors protecting against diabetic retinopathy in a geriatric Indian cohort. Indian Journal of Ophthalmology 2021;69(11):3167 View
  4. Das A. People to policy: The promise and challenges of big data for India. Indian Journal of Ophthalmology 2021;69(11):3052 View