Search Results (1 to 2 of 2 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 1 JMIR Medical Informatics
- 1 JMIR mHealth and uHealth
- 0 Journal of Medical Internet Research
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Research Protocols
- 0 JMIR Human Factors
- 0 JMIR Public Health and Surveillance
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 JMIR Formative Research
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
Go back to the top of the page Skip and go to footer section
Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers
A future direction is to extend methods outlined by Tausczik and Pennebaker [35] and Zhang and Singh [36] to build a lexicon specific to health care complaints, which could yield superior metrics such as accuracy. Another interesting direction is to evaluate the influence of geography; specifically, do patients from different locations express themselves differently and do their differences in phrasing affect the underlying meaning?
JMIR Med Inform 2017;5(3):e19
Download Citation: END BibTex RIS