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

Natural Language Processing (650) Clinical Information and Decision Making (1340) Machine Learning (1401)

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 (9) Tweetations (8) Metrics

Journals

  1. Spasic I, Nenadic G. Clinical Text Data in Machine Learning: Systematic Review. JMIR Medical Informatics 2020;8(3):e17984 View
  2. van Dael J, Reader T, Gillespie A, Neves A, Darzi A, Mayer E. Learning from complaints in healthcare: a realist review of academic literature, policy evidence and front-line insights. BMJ Quality & Safety 2020;29(8):684 View
  3. Liu Y, Wan Y, Su X. Identifying individual expectations in service recovery through natural language processing and machine learning. Expert Systems with Applications 2019;131:288 View
  4. Anagnostou P, Tasoulis S, Vrahatis A, Georgakopoulos S, Prina M, Ayuso-Mateos J, Bickenbach J, Bayes-Marin I, Caballero F, Egea-Cortés L, García-Esquinas E, Leonardi M, Scherbov S, Tamosiunas A, Galas A, Haro J, Sanchez-Niubo A, Plagianakos V, Panagiotakos D. Enhancing the Human Health Status Prediction: The ATHLOS Project. Applied Artificial Intelligence 2021;35(11):834 View
  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

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