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

Natural Language Processing (801) Clinical Information and Decision Making (1656) Machine Learning (1738)

Published on in Vol 5, No 3 (2017): Jul-Sept

Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers

Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers

Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers

Authors of this article:

Adel Elmessiry1 Author Orcid Image ;   William O Cooper2 Author Orcid Image ;   Thomas F Catron2 Author Orcid Image ;   Jan Karrass2 Author Orcid Image ;   Zhe Zhang3 Author Orcid Image ;   Munindar P Singh1 Author Orcid Image
Article Authors Cited by (10) Tweetations (8) Metrics

Journals

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  5. Ma S, Jiang S, Yang O, Zhang X, Fu Y, Zhang Y, Kaareen A, Ling M, Chen J, Shang C. Use of Machine Learning Tools in Evidence Synthesis of Tobacco Use Among Sexual and Gender Diverse Populations: Algorithm Development and Validation. JMIR Formative Research 2024;8:e49031 View
  6. Li X, Shu Q, Kong C, Wang J, Li G, Fang X, Lou X, Yu G. An Intelligent System for Classifying Patient Complaints Using Machine Learning and Natural Language Processing: Development and Validation Study. Journal of Medical Internet Research 2025;27:e55721 View

Books/Policy Documents

  1. Xia C, Zhao D, Wang J, Liu J, Ma J. Smart Health. View
  2. Galitsky B. Artificial Intelligence for Healthcare Applications and Management. View

Conference Proceedings

  1. Naz A, Javaid N, Javaid S. 2018 IEEE 21st International Multi-Topic Conference (INMIC). Enhanced Recurrent Extreme Learning Machine Using Gray Wolf Optimization for Load Forecasting View
  2. Kurniawan A, Luhur Pakerti Z, Shidik G. 2023 International Seminar on Application for Technology of Information and Communication (iSemantic). Tune Up Multi Layer Perceptron From Sentiment Analysis with Natural Language Processing View