- Review of the 2024 Fall Conference of the Korean Society of Medical Informatics—AI’s Role in Shaping Modern Healthcare
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Lee J, Ko T, Yang K, Lee Y, on behalf of the KOSMI’s Academic Committee
- KMID: 2564346
- Healthc Inform Res.
- 2025 Jan;31(1):1-3.
- doi: 10.4258/hir.2025.31.1.1
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- Era of Digital Healthcare: Emergence of the Smart Patient
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Huhh D, Shin K, Kim M, Lee J, Kim H, Choi J, Ban S
- KMID: 2564356
- Healthc Inform Res.
- 2025 Jan;31(1):107-110.
- doi: 10.4258/hir.2025.31.1.107
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- Utility of Treatment Pattern Analysis Using a Common Data Model: A Scoping Review
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Park EG, Kim MJ, Kim J, Shin K, Ryu B
- KMID: 2564347
- Healthc Inform Res.
- 2025 Jan;31(1):4-15.
- doi: 10.4258/hir.2025.31.1.4
Objectives: We aimed to derive observational research evidence on treatment patterns through a scoping review of common data model (CDM)-based publications. Methods: We searched the medical literature databases PubMed and... -
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- Extreme Prototyping for a Community Health Worker Medical Application
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Molon JN
- KMID: 2564354
- Healthc Inform Res.
- 2025 Jan;31(1):88-95.
- doi: 10.4258/hir.2025.31.1.88
Objectives: Noncommunicable diseases (NCDs) pose a significant burden, especially in low- and middle-income countries such as the Philippines. To tackle this issue, the Department of Health launched the Philippine Package... -
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- Triage Data-Driven Prediction Models for Hospital Admission of Emergency Department Patients: A Systematic Review
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Shin HA, Kang H, Choi M
- KMID: 2564349
- Healthc Inform Res.
- 2025 Jan;31(1):23-36.
- doi: 10.4258/hir.2025.31.1.23
Objectives: Emergency department (ED) overcrowding significantly impacts healthcare efficiency, safety, and resource management. Predictive models that utilize triage information can streamline the admission process. This review evaluates existing hospital admission... -
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- Data Mining to Identify the Right Interventions for the Right Patient for Heart Failure: A Real-World Study
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Lee K, Argoubi R, Costantino H
- KMID: 2564353
- Healthc Inform Res.
- 2025 Jan;31(1):66-87.
- doi: 10.4258/hir.2025.31.1.66
Objectives: To identify the right interventions for the right heart failure (HF) patients in the real-world setting using machine learning (ML) trained on individual-level clinical data linked with social determinants... -
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- FIT4PEDON: Mobile Nutrition Counseling Application Effectiveness and Usability for Childhood Cancer Survivors
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Bavatharani R, Supriya V, Scott JX, Sankaranarayanan S
- KMID: 2564350
- Healthc Inform Res.
- 2025 Jan;31(1):37-47.
- doi: 10.4258/hir.2025.31.1.37
Objectives: Conventional face-to-face nutrition counseling has played a crucial role in promoting healthy habits. However, the emergence of digital health technologies has introduced mobile app-based nutrition counseling as an effective... -
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- Interactive Engagement with Self-Paced Learning Content in a Didactic Course
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Sharmin N, Houshyar S, Stevenson TR, Chow AK
- KMID: 2564355
- Healthc Inform Res.
- 2025 Jan;31(1):96-106.
- doi: 10.4258/hir.2025.31.1.96
Objectives: A growing number of health professional institutions around the world are embracing innovative technologies to increase student engagement, primarily to improve clinical and simulated learning experiences. Didactic learning is... -
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- Deep Learning Model-Based Detection of Anemia from Conjunctiva Images
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Sehar N, Krishnamoorthi N, Vinoth Kumar C
- KMID: 2564352
- Healthc Inform Res.
- 2025 Jan;31(1):57-65.
- doi: 10.4258/hir.2025.31.1.57
Objectives: Anemia is characterized by a reduction in red blood cells, leading to insufficient levels of hemoglobin, the molecule responsible for carrying oxygen. The current standard method for diagnosing anemia... -
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- Weightage Identified Network of Keywords Technique: A Structured Approach in Identifying Keywords for Systematic Reviews
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Sivakumar S, Sivakumar G
- KMID: 2564351
- Healthc Inform Res.
- 2025 Jan;31(1):48-56.
- doi: 10.4258/hir.2025.31.1.48
Objectives: The objective of this study was to develop the weightage identified network of keywords (WINK) technique for selecting and utilizing keywords to perform systematic reviews more efficiently. This technique... -
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- Feature Selection for Hypertension Risk Prediction Using XGBoost on Single Nucleotide Polymorphism Data
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Muflikhah L, Fatyanosa TN, Widodo N, Perdana RS, S, Ratnawati H
- KMID: 2564348
- Healthc Inform Res.
- 2025 Jan;31(1):16-22.
- doi: 10.4258/hir.2025.31.1.16
Objectives: Hypertension, commonly known as high blood pressure, is a prevalent and serious condition affecting a significant portion of the adult population globally. It is a chronic medical issue that,... -
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