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Review Article

July 31, 2026

De-Identification of Magnetic Resonance Imaging to Protect Patient Privacy in Research Use: A Comprehensive Review

Seonguk Kang, Junbeom Jang, Uk-Su Choi, et al.

Healthc Inform Res. 2026;32(3):204-213.

Objectives: Brain magnetic resonance imaging (MRI) contains identifiable facial and cranial features, creating privacy risks that can limit secondary research use. This review examines current MRI de-identification technologies, quantitative validation...

Original Article

July 31, 2026

Evaluation and Comparison of Machine Learning Methods for Type 2 Diabetes Classification and Associated Factors

Masoumeh Dadashpour, Mohammad Yousefi, Sohrab Effati, et al.

Healthc Inform Res. 2026;32(3):214-223.

Objectives: Type 2 diabetes mellitus (T2DM) is a prevalent chronic metabolic disorder associated with serious complications, including nephropathy, cardiovascular disease, retinopathy, and neuropathy. Given its increasing incidence and the complexity...

Original Article

July 31, 2026

Development and Evaluation of a Custom GPT-Based Artificial Intelligence Clinical Decision Support System for Emergency Department Interdepartmental Consultation Automation

Boram Yoo, Chan Woong Kim, Jong-Hoon Oh

Healthc Inform Res. 2026;32(3):224-231.

Objectives: This study aimed to develop a custom GPT-based, knowledge-guided documentation support system that drafts emergency department (ED) interdepartmental consultation requests from minimal free-text input and evaluate its feasibility, usability,...

Original Article

July 31, 2026

Application of Machine Learning Algorithms for Predicting Infant Mortality in India: An Analysis of the National Family Health Survey-5, 2019–2021

Jaya Prasad Tripathy

Healthc Inform Res. 2026;32(3):232-241.

Objectives: Machine learning (ML) techniques have shown strong potential for predicting infant mortality (IM), but their application in the Indian context remains limited. This study aimed to use ML algorithms...

Original Article

July 31, 2026

Machine Learning Techniques to Predict Fetal Nutritional Status

Neema Mduma, Hudson Laizer

Healthc Inform Res. 2026;32(3):242-250.

Objectives: Malnutrition remains the leading cause of child mortality in Tanzania, with over 34% of children under 5 years of age affected by stunting and approximately 5% experiencing acute malnutrition....

Original Article

July 31, 2026

Comparative Analysis of Regularised Logistic Regression and Random Forest Models for In-hospital or 30-day Post-Discharge Mortality Prediction within the Hospital Standardised Mortality Ratio Framework

Mohd Kamarulariffin Kamarudin, Sarbhan Singh Lakha Singh, Nuur Hafizah Md Iderus, et al.

Healthc Inform Res. 2026;32(3):251-261.

Objectives: The hospital standardised mortality ratio (HSMR) is the ratio of the observed number of hospital deaths to the expected number of deaths, with the latter estimated using statistical models...

Original Article

July 31, 2026

Prediction of Postoperative Length of Stay in Patients with Hip Fracture: A Two-Stage Machine Learning Approach

Thanwa Kaewtha, Lak Papinwitchakul, Wichai Chattinnawat, et al.

Healthc Inform Res. 2026;32(3):262-273.

Objectives: This study aimed to apply machine learning (ML) techniques to predict postoperative length of stay (LOS) in patients with hip fracture. Because LOS varies widely across individuals owing to...

Original Article

July 31, 2026

Early Detection of Parkinson’s Disease Using Automatic Classification of Single-photon Emission Computed Tomography Images

Jihad Boucherouite, Abdelilah Jilbab, Atman Jbari

Healthc Inform Res. 2026;32(3):274-284.

Objectives: Parkinson’s disease (PD) is a chronic neurodegenerative disorder characterized by central nervous system dysfunction. Early identification may enable prompt treatment and help slow the progression of disabling symptoms. Previous...

Original Article

July 31, 2026

Machine Learning–Based Classification of Active and Latent Phases of Inherited Retinal Dystrophies Using Synthetic Proteomic Data: A Pathway-Based Application Exercise

Alessandro Macchia, Maria Chiara Medori, Ahmad Jainul Abidin, et al.

Healthc Inform Res. 2026;32(3):285-292.

Objectives: Inherited retinal dystrophies are characterized by high genetic and phenotypic heterogeneity, and their clinical progression may alternate between latent and active phases. Identifying the onset of the active phase...

Original Article

July 31, 2026

Legal Barriers to Implementing AI-Enabled Emergency Medical Services in Korea: Focus on the Medical Service Act, Emergency Medical Service Act, and Personal Information Protection Act

Eun‑jeong Lee, Yeon‑woo Choi, Yeail Joo, et al.

Healthc Inform Res. 2026;32(3):293-302.

Objectives: In prehospital and in-hospital emergency care, artificial intelligence (AI)-enabled emergency medical services (EMS) systems are reshaping clinical workflows through real-time triage, automated hospital assignment, telemedicine, and biometric monitoring. However,...

Current Issue: Volume 32(3); Jul 2026

From Operating System to Operating Society: The Next Mission of Medical Informatics Kye Hwa Lee, Seoyeon Baik Healthc Inform Res. 2026;32(3):201-203. Editorial July 31, 2026 Full text PubReader ePub PDF	De-Identification of Magnetic Resonance Imaging to Protect Patient Privacy in Research Use: A Comprehensive Review Seonguk Kang, Junbeom Jang, Uk-Su Choi, et al. Healthc Inform Res. 2026;32(3):204-213. Review Article July 31, 2026 Full text PubReader ePub PDF
Evaluation and Comparison of Machine Learning Methods for Type 2 Diabetes Classification and Associated Factors Masoumeh Dadashpour, Mohammad Yousefi, Sohrab Effati, et al. Healthc Inform Res. 2026;32(3):214-223. Original Article July 31, 2026 Full text PubReader ePub PDF Supplementary Material	Development and Evaluation of a Custom GPT-Based Artificial Intelligence Clinical Decision Support System for Emergency Department Interdepartmental Consultation Automation Boram Yoo, Chan Woong Kim, Jong-Hoon Oh Healthc Inform Res. 2026;32(3):224-231. Original Article July 31, 2026 Full text PubReader ePub PDF Supplementary Material
Application of Machine Learning Algorithms for Predicting Infant Mortality in India: An Analysis of the National Family Health Survey-5, 2019–2021 Jaya Prasad Tripathy Healthc Inform Res. 2026;32(3):232-241. Original Article July 31, 2026 Full text PubReader ePub PDF	Machine Learning Techniques to Predict Fetal Nutritional Status Neema Mduma, Hudson Laizer Healthc Inform Res. 2026;32(3):242-250. Original Article July 31, 2026 Full text PubReader ePub PDF
Comparative Analysis of Regularised Logistic Regression and Random Forest Models for In-hospital or 30-day Post-Discharge Mortality Prediction within the Hospital Standardised Mortality Ratio Framework Mohd Kamarulariffin Kamarudin, Sarbhan Singh Lakha Singh, Nuur Hafizah Md Iderus, et al. Healthc Inform Res. 2026;32(3):251-261. Original Article July 31, 2026 Full text PubReader ePub PDF Supplementary Material	Prediction of Postoperative Length of Stay in Patients with Hip Fracture: A Two-Stage Machine Learning Approach Thanwa Kaewtha, Lak Papinwitchakul, Wichai Chattinnawat, et al. Healthc Inform Res. 2026;32(3):262-273. Original Article July 31, 2026 Cited By 1 Full text PubReader ePub PDF
Early Detection of Parkinson’s Disease Using Automatic Classification of Single-photon Emission Computed Tomography Images Jihad Boucherouite, Abdelilah Jilbab, Atman Jbari Healthc Inform Res. 2026;32(3):274-284. Original Article July 31, 2026 Full text PubReader ePub PDF	Machine Learning–Based Classification of Active and Latent Phases of Inherited Retinal Dystrophies Using Synthetic Proteomic Data: A Pathway-Based Application Exercise Alessandro Macchia, Maria Chiara Medori, Ahmad Jainul Abidin, et al. Healthc Inform Res. 2026;32(3):285-292. Original Article July 31, 2026 Full text PubReader ePub PDF Supplementary Material
Legal Barriers to Implementing AI-Enabled Emergency Medical Services in Korea: Focus on the Medical Service Act, Emergency Medical Service Act, and Personal Information Protection Act Eun‑jeong Lee, Yeon‑woo Choi, Yeail Joo, et al. Healthc Inform Res. 2026;32(3):293-302. Original Article July 31, 2026 Full text PubReader ePub PDF

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