- Application Strategies for Artificial Intelligence– based Clinical Decision Support System: From the Simulation to the Real-World
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Park SH, Cha WC
- KMID: 2532445
- Healthc Inform Res.
- 2022 Jul;28(3):185-187.
- doi: 10.4258/hir.2022.28.3.185
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- Effectiveness of the Use of Standardized Vocabularies on Epilepsy Patient Cohort Generation
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Jung H, Lee HY, Yoo S, Hwang H, Baek H
- KMID: 2532451
- Healthc Inform Res.
- 2022 Jul;28(3):240-246.
- doi: 10.4258/hir.2022.28.3.240
Objectives: This study investigated the effectiveness of using standardized vocabularies to generate epilepsy patient cohorts with local medical codes, SNOMED Clinical Terms (SNOMED CT), and International Classification of Diseases tenth... -
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- Modification of Case-Based Reasoning Similarity Formula to Enhance the Performance of Smart System in Handling the Complaints of in vitro Fertilization Program Patients
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Christianto PA, Sediyono E, Sembiring I
- KMID: 2532454
- Healthc Inform Res.
- 2022 Jul;28(3):267-275.
- doi: 10.4258/hir.2022.28.3.267
Objectives: Eighty percent of in vitro fertilization (IVF) patients have high anxiety levels, which influence the success of IVF and drive IVF patients to quickly report any abnormal symptoms. Rapid... -
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- Machine Learning Smart System for Parkinson Disease Classification Using the Voice as a Biomarker
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Tougui I, Jilbab A, Mhamdi JE
- KMID: 2532448
- Healthc Inform Res.
- 2022 Jul;28(3):210-221.
- doi: 10.4258/hir.2022.28.3.210
Objectives: This study presents PD Predict, a machine learning system for Parkinson disease classification using voice as a biomarker. Methods: We first created an original set of recordings from the... -
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- Unsupervised Machine Learning to Identify Depressive Subtypes
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Kung B, Chiang M, Perera G, Pritchard M, Stewart R
- KMID: 2532453
- Healthc Inform Res.
- 2022 Jul;28(3):256-266.
- doi: 10.4258/hir.2022.28.3.256
Objectives: This study evaluated an unsupervised machine learning method, latent Dirichlet allocation (LDA), as a method for identifying subtypes of depression within symptom data. Methods: Data from 18,314 depressed patients... -
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- Text Mining of Biomedical Articles Using the Konstanz Information Miner (KNIME) Platform: Hemolytic Uremic Syndrome as a Case Study
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Dorr RA, Casal JJ, Toriano R
- KMID: 2532455
- Healthc Inform Res.
- 2022 Jul;28(3):276-283.
- doi: 10.4258/hir.2022.28.3.276
Objectives: Automated systems for information extraction are becoming very useful due to the enormous scale of the existing literature and the increasing number of scientific articles published worldwide in the... -
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- Development of a Frailty Detection Model Using Machine Learning with the Korean Frailty and Aging Cohort Study Data
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Koo D, Lee AR, Lee E, Kim IK
- KMID: 2532450
- Healthc Inform Res.
- 2022 Jul;28(3):231-239.
- doi: 10.4258/hir.2022.28.3.231
Objectives: This paper aimed to use machine learning to identify a new group of factors predicting frailty in the elderly population by utilizing the existing frailty criteria as a basis,... -
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- Clinical Evaluation of Digital Therapeutics: Present and Future
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Huh KY, Oh J, Lee S, Yu KS
- KMID: 2532446
- Healthc Inform Res.
- 2022 Jul;28(3):188-197.
- doi: 10.4258/hir.2022.28.3.188
Objectives: Digital therapeutics (DTx) are software-based therapeutic interventions based on clinical evidence. Randomized clinical trials (RCTs) are often the source of clinical evidence, similar to conventional drugs or medical devices.... -
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- Cancer Risk Score Prediction Based on a Single-Nucleotide Polymorphism Network
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Mahesworo B, Budiarto A, Hidayat AA, Pardamean B
- KMID: 2532452
- Healthc Inform Res.
- 2022 Jul;28(3):247-255.
- doi: 10.4258/hir.2022.28.3.247
Objectives: Genome-wide association studies (GWAS) are performed to study the associations between genetic variants with respect to certain phenotypic traits such as cancer. However, the method that is commonly used... -
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- Exploring the Health and Social Needs of Community Residents Using an Online Community Care Platform: Linkage to the International Classification of Functioning, Disability, and Health
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Park M, Bui LK, Jeong M, Choi EJ, Lee N, Kwak M, Kim J, Kim J, Jung J, Shin O, Na J, Guk H
- KMID: 2532447
- Healthc Inform Res.
- 2022 Jul;28(3):198-209.
- doi: 10.4258/hir.2022.28.3.198
Objectives: This study aimed to analyze the outcomes of the Comprehensive Health and Social Need Assessment (CHSNA) system, which identifies community residents’ health and social needs, and to link these... -
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- Quantification of Efflorescences in Pustular Psoriasis Using Deep Learning
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Amruthalingam L, Buerzle O, Gottfrois P, Jimenez AG, Roth A, Koller T, Pouly M, Navarini AA
- KMID: 2532449
- Healthc Inform Res.
- 2022 Jul;28(3):222-230.
- doi: 10.4258/hir.2022.28.3.222
Objectives: Pustular psoriasis (PP) is one of the most severe and chronic skin conditions. Its treatment is difficult, and measurements of its severity are highly dependent on clinicians’ experience. Pustules... -
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