Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers-Reference-Cited by-同舟云学术

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

Published:2017-07-31 Issue:3 Volume:5 Page:e19
ISSN:2291-9694
Container-title:JMIR Medical Informatics
language:en
Short-container-title:JMIR Med Inform

Author:

Elmessiry Adel^ORCID,Cooper William O^ORCID,Catron Thomas F^ORCID,Karrass Jan^ORCID,Zhang Zhe^ORCID,Singh Munindar P^ORCID

Publisher

JMIR Publications Inc.

Reference36 articles.

1. Best Practices for Basic and Advanced Skills in Health Care Service Recovery: A Case Study of a Re-admitted Patient

2. A Complementary Approach to Promoting Professionalism: Identifying, Measuring, and Addressing Unprofessional Behaviors

3. The Joint Commission20162017-06-20Sentinel event data summary https://www.jointcommission.org/sentinel_event_statistics_quarterly/

4. Patient Complaints and Adverse Surgical Outcomes

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1. Successful Handling of Patient Complaints Requires Effective Training of Specialists: A Description of the CODE Training Model for Patient Complaint Excellence;Journal of Patient Experience;2025-05

2. An Intelligent System for Classifying Patient Complaints Using Machine Learning and Natural Language Processing: Development and Validation Study;Journal of Medical Internet Research;2025-01-08

3. Use of Machine Learning Tools in Evidence Synthesis of Tobacco Use Among Sexual and Gender Diverse Populations: Algorithm Development and Validation;JMIR Formative Research;2024-01-24

4. An Intelligent System for Classifying Patient Complaints Using Machine Learning and Natural Language Processing: Development and Validation Study (Preprint);2023-12-21

5. Tune Up Multi Layer Perceptron From Sentiment Analysis with Natural Language Processing;2023 International Seminar on Application for Technology of Information and Communication (iSemantic);2023-09-16

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