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

Theme Issue 2021: Health Natural Language Processing and Applications (16) Electronic Health Records (971) Natural Language Processing (650) Machine Learning (1401) Decision Support for Health Professionals (1147) Clinical Information and Decision Making (1340) Clinical Informatics (919) Stroke (150) Secondary Use of Clinical Data for Research and Surveillance (326) Ontologies, Classifications, and Coding (227)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29120, first published .
Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers

Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers

Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers

Authors of this article:

Bruna Stella Zanotto1, 2 Author Orcid Image ;   Ana Paula Beck da Silva Etges1, 3 Author Orcid Image ;   Avner dal Bosco3 Author Orcid Image ;   Eduardo Gabriel Cortes4 Author Orcid Image ;   Renata Ruschel1 Author Orcid Image ;   Ana Claudia De Souza5 Author Orcid Image ;   Claudio M V Andrade6 Author Orcid Image ;   Felipe Viegas6 Author Orcid Image ;   Sergio Canuto6 Author Orcid Image ;   Washington Luiz6 Author Orcid Image ;   Sheila Ouriques Martins5 Author Orcid Image ;   Renata Vieira7 Author Orcid Image ;   Carisi Polanczyk1, 2 Author Orcid Image ;   Marcos André Gonçalves6 Author Orcid Image
Article Authors Cited by (5) Tweetations (9) Metrics

Journals

  1. Hoekstra O, Hurst W, Tummers J. Healthcare related event prediction from textual data with machine learning: A Systematic Literature Review. Healthcare Analytics 2022;2:100107 View
  2. Chen M, Tan X, Padman R. A Machine Learning Approach to Support Urgent Stroke Triage Using Administrative Data and Social Determinants of Health at Hospital Presentation: Retrospective Study. Journal of Medical Internet Research 2023;25:e36477 View
  3. De Rosario H, Pitarch-Corresa S, Pedrosa I, Vidal-Pedrós M, de Otto-López B, García-Mieres H, Álvarez-Rodríguez L. Applications of Natural Language Processing for the Management of Stroke Disorders: Scoping Review. JMIR Medical Informatics 2023;11:e48693 View
  4. Hung L, Su Y, Sun J, Huang W, Sung S. Clinical narratives as a predictor for prognosticating functional outcomes after intracerebral hemorrhage. Journal of the Neurological Sciences 2023;453:120807 View
  5. Lefkovitz I, Walsh S, Blank L, Jetté N, Kummer B. Direct Clinical Applications of Natural Language Processing in Common Neurological Disorders: Scoping Review. JMIR Neurotechnology 2024;3:e51822 View