- Strategy to Adopt and Deploy HL7 FHIR Standard for Healthcare Interoperability in Korea
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Bae S, Kim IK, Yi BK
- KMID: 2519032
- Healthc Inform Res.
- 2021 Jul;27(3):173-174.
- doi: 10.4258/hir.2021.27.3.173
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- Evaluation of Official Healthcare Informatics Applications in Saudi Arabia and their Role in Addressing COVID-19 Pandemic
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Alassaf N, Bah S, Almulhim F, AlDossary N, Alqahtani M
- KMID: 2519042
- Healthc Inform Res.
- 2021 Jul;27(3):255-263.
- doi: 10.4258/hir.2021.27.3.255
Objectives: The purpose of this study was to examine official healthcare informatics applications in Saudi Arabia in the context of their role in addressing the coronavirus disease 2019 (COVID-19) pandemic. Methods:... -
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- Global Trends of Regional Health Information Systems and Suggested Strategic Utilization of their Medical Information
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Park H, Kang SH, Lee YS, Lee IS, Hwangbo Y, Cho K
- KMID: 2519033
- Healthc Inform Res.
- 2021 Jul;27(3):175-181.
- doi: 10.4258/hir.2021.27.3.175
Objectives: Along with the exponentially-growing data produced and accumulated every day through mobile platforms, social networking services, the Internet, and other media, information is becoming increasingly important as a strategic... -
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- Impact of the Choice of Cross-Validation Techniques on the Results of Machine Learning-Based Diagnostic Applications
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Tougui I, Jilbab A, Mhamdi JE
- KMID: 2519035
- Healthc Inform Res.
- 2021 Jul;27(3):189-199.
- doi: 10.4258/hir.2021.27.3.189
Objectives: With advances in data availability and computing capabilities, artificial intelligence and machine learning technologies have evolved rapidly in recent years. Researchers have taken advantage of these developments in healthcare... -
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- Concerns of Thalassemia Patients, Carriers, and their Caregivers in Malaysia: Text Mining Information Shared on Social Media
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Phang YC, Kassim AM, Mangantig E
- KMID: 2519036
- Healthc Inform Res.
- 2021 Jul;27(3):200-213.
- doi: 10.4258/hir.2021.27.3.200
Objectives: The main aim of this study was to use text mining on social media to analyze information and gain insight into the health-related concerns of thalassemia patients, thalassemia carriers,... -
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- Heart Rate Variability as an Early Objective Indicator of Subjective Feeling of Depression in Daily Life
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Jo HG, Shin N
- KMID: 2519041
- Healthc Inform Res.
- 2021 Jul;27(3):249-254.
- doi: 10.4258/hir.2021.27.3.249
Objectives: Changes in the autonomic nervous system have been observed in patients with depressive disorders by measuring their heart rate variability (HRV). However, whether HRV associates with depressive events in... -
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- Development of a Risk Score for QT Prolongation in the Intensive Care Unit Using Time-Series Electrocardiogram Data and Electronic Medical Records
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Kim TY, Choi BJ, Koo Y, Lee S, Yoon D
- KMID: 2519034
- Healthc Inform Res.
- 2021 Jul;27(3):182-188.
- doi: 10.4258/hir.2021.27.3.182
Objectives: Drug-induced QT prolongation can lead to life-threatening arrhythmia. In the intensive care unit (ICU), various drugs are administered concurrently, which can increase the risk of QT prolongation. However, no... -
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- Automatic Pectoral Muscle Removal and Microcalcification Localization in Digital Mammograms
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Gómez KAH, Echeverry-Correa JD, Gutiérrez
- KMID: 2519038
- Healthc Inform Res.
- 2021 Jul;27(3):222-230.
- doi: 10.4258/hir.2021.27.3.222
Objectives: Breast cancer is the most common cancer diagnosed in women, and microcalcification (MCC) clusters act as an early indicator. Thus, the detection of MCCs plays an important role in... -
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- Simple Wearable Device to Reduce Stress When Delivering a Speech without Pre-training
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Yamane T, Nakadoi Y, Takagi M, Morita M
- KMID: 2519039
- Healthc Inform Res.
- 2021 Jul;27(3):231-240.
- doi: 10.4258/hir.2021.27.3.231
Objectives: There are many occasions in modern life when people must deliver presentations in front of audiences. Most people feel nervous before and while giving a speech. If there were... -
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- Machine Learning for Antibiotic Resistance Prediction: A Prototype Using Off-the-Shelf Techniques and Entry-Level Data to Guide Empiric Antimicrobial Therapy
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Feretzakis G, Sakagianni A, Loupelis E, Kalles D, Skarmoutsou N, Martsoukou M, Christopoulos C, Lada M, Petropoulou S, Velentza A, Michelidou S, Chatzikyriakou R, Dimitrellos E
- KMID: 2519037
- Healthc Inform Res.
- 2021 Jul;27(3):214-221.
- doi: 10.4258/hir.2021.27.3.214
Objectives: In the era of increasing antimicrobial resistance, the need for early identification and prompt treatment of multi-drug-resistant infections is crucial for achieving favorable outcomes in critically ill patients. As... -
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- Validation of an Automatic Tagging System for Identifying Respiratory and Hemodynamic Deterioration Events in the Intensive Care Unit
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Jeddah D, Chen O, Lipsky AM, Forgacs A, Celniker G, Lilly CM, Pessach IM
- KMID: 2519040
- Healthc Inform Res.
- 2021 Jul;27(3):241-248.
- doi: 10.4258/hir.2021.27.3.241
Objectives: Predictive models for critical events in the intensive care unit (ICU) might help providers anticipate patient deterioration. At the heart of predictive model development lies the ability to accurately... -
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