# JMIR Medical Informatics

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/jmir-medical-informatics/

## Facts

| Field | Value |
| --- | --- |
| Open Access | true |
| ISSN-L | 2291-9694 |
| ISSNs | 2291-9694 |
| OpenAlex ID | https://openalex.org/S2764650051 |
| Publisher | JMIR Publications |

## Journal papers

- [Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation](https://scholariq.org/papers/secure-logistic-regression-based-on-homomorphic-encryption-design-and-evaluation/)
- [Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis](https://scholariq.org/papers/privacy-preserving-patient-similarity-learning-in-a-federated-environment/)
- [Patient Portal Use and Experience Among Older Adults: Systematic Review](https://scholariq.org/papers/patient-portal-use-and-experience-among-older-adults-systematic-review/)
- [Automatic ICD-10 Coding and Training System: Deep Neural Network Based on Supervised Learning](https://scholariq.org/papers/automatic-icd-10-coding-and-training-system-deep-neural-network-based-on/)
- [Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation](https://scholariq.org/papers/predicting-postoperative-mortality-with-deep-neural-networks-and-natural/)
- [Automatic International Classification of Diseases Coding System: Deep Contextualized Language Model With Rule-Based Approaches](https://scholariq.org/papers/automatic-international-classification-of-diseases-coding-system-deep/)
- [Evaluation of Natural Language Processing for the Identification of Crohn Disease–Related Variables in Spanish Electronic Health Records: A Validation Study for the PREMONITION-CD Project](https://scholariq.org/papers/evaluation-of-natural-language-processing-for-the-identification-of-crohn/)
- [A SNOMED CT Mapping Guideline for the Local Terms Used to Document Clinical Findings and Procedures in Electronic Medical Records in South Korea: Methodological Study](https://scholariq.org/papers/a-snomed-ct-mapping-guideline-for-the-local-terms-used-to-document-clinical/)
- [Improving AI-Based Clinical Decision Support Systems and Their Integration Into Care From the Perspective of Experts: Interview Study Among Different Stakeholders](https://scholariq.org/papers/improving-ai-based-clinical-decision-support-systems-and-their-integration-into/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.