Search Results (1 to 10 of 1769 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 653 Journal of Medical Internet Research
- 202 JMIR Public Health and Surveillance
- 176 JMIR mHealth and uHealth
- 144 JMIR Medical Informatics
- 137 JMIR Formative Research
- 130 JMIR Research Protocols
- 59 JMIR Serious Games
- 40 Online Journal of Public Health Informatics
- 31 JMIR Human Factors
- 29 JMIR Mental Health
- 26 JMIR Aging
- 23 Interactive Journal of Medical Research
- 23 JMIR Cancer
- 16 JMIR Medical Education
- 14 JMIR Pediatrics and Parenting
- 13 JMIR AI
- 11 JMIR Dermatology
- 9 JMIR Infodemiology
- 6 Iproceedings
- 6 JMIR Bioinformatics and Biotechnology
- 6 JMIR Cardio
- 5 JMIR Diabetes
- 3 JMIR Nursing
- 3 JMIR Perioperative Medicine
- 2 JMIR Rehabilitation and Assistive Technologies
- 1 Journal of Participatory Medicine
- 1 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 JMIR XR and Spatial Computing (JMXR)
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review
JMIR Cancer 2025;11:e65984
Download Citation: END BibTex RIS
Chen et al [32] combined SVM with principal component analysis to successfully extract 6 features from 32 predictors, improving the performance over the simple SVM model. Other models use unsupervised learning to cluster this unlabeled data and then use supervised learning for longitudinal prediction [33]. Further research and discussion are needed to assess the accuracy and effectiveness of these different models.
We found that cognitive tests such as the MMSE and the Mo CA were mostly used as predictors.
J Med Internet Res 2025;27:e59649
Download Citation: END BibTex RIS