| 1 |
A New Online Journal Management SystemA New Online Journal Management System
Hyejung Chang, Hyoun-Joong KongHyejung Chang, Hyoun-Joong Kong
KMSID: 1075879 Healthc Inform Res. 2018;24(1):1-2. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.1 |
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| 3 |
Enchanted Life Space: Adding Value to Smart Health by Integrating Human DesiresEnchanted Life Space: Adding Value to Smart Health by Integrating Human Desires
Joohyun Kim, Hye Jin Kam, Yu Rang Park, Soyoung Yoo, Ji Seon Oh, Young-Hak Kim, Jae-Ho LeeJoohyun Kim, Hye Jin Kam, Yu Rang Park, Soyoung Yoo, Ji Seon Oh, Young-Hak Kim, Jae-Ho Lee
KMSID: 1075888 Healthc Inform Res. 2018;24(1):3-11. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.3 |
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| 12 |
Scenario-Based Assessment of User Needs for Point-of-Care RobotsScenario-Based Assessment of User Needs for Point-of-Care Robots
Hyeong Suk Lee, Jeongeun KimHyeong Suk Lee, Jeongeun Kim
KMSID: 1075882 Healthc Inform Res. 2018;24(1):12-21. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.12 |
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| 22 |
Bayesian-Based Decision Support System for Assessing the Needs for Orthodontic TreatmentBayesian-Based Decision Support System for Assessing the Needs for Orthodontic Treatment
Bhornsawan ThanathornwongBhornsawan Thanathornwong
KMSID: 1075886 Healthc Inform Res. 2018;24(1):22-28. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.22 |
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| 29 |
Comparison of Models for the Prediction of Medical Costs of Spinal Fusion in Taiwan Diagnosis-Related Groups by Machine Learning AlgorithmsComparison of Models for the Prediction of Medical Costs of Spinal Fusion in Taiwan Diagnosis-Related Groups by Machine Learning Algorithms
Ching-Yen Kuo, Liang-Chin Yu, Hou-Chaung Chen, Chien-Lung ChanChing-Yen Kuo, Liang-Chin Yu, Hou-Chaung Chen, Chien-Lung Chan
KMSID: 1075887 Healthc Inform Res. 2018;24(1):29-37. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.29 |
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| 38 |
Evaluating the Dietary and Nutritional Apps in the Google Play StoreEvaluating the Dietary and Nutritional Apps in the Google Play Store
Harleigh Schumer, Chioma Amadi, Ashish JoshiHarleigh Schumer, Chioma Amadi, Ashish Joshi
KMSID: 1075889 Healthc Inform Res. 2018;24(1):38-45. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.38 |
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| 46 |
Comparison and Analysis of ISO/IEEE 11073, IHE PCD-01, and HL7 FHIR Messages for Personal Health DevicesComparison and Analysis of ISO/IEEE 11073, IHE PCD-01, and HL7 FHIR Messages for Personal Health Devices
Sungkee Lee, Hyoungho DoSungkee Lee, Hyoungho Do
KMSID: 1075890 Healthc Inform Res. 2018;24(1):46-52. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.46 |
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| 53 |
Automatic Glaucoma Detection Method Applying a Statistical Approach to Fundus ImagesAutomatic Glaucoma Detection Method Applying a Statistical Approach to Fundus Images
Anindita Septiarini, Dyna M. Khairina, Awang H. Kridalaksana, Hamdani HamdaniAnindita Septiarini, Dyna M. Khairina, Awang H. Kridalaksana, Hamdani Hamdani
KMSID: 1075891 Healthc Inform Res. 2018;24(1):53-60. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.53 |
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| 61 |
Trends in Research on the Security of Medical Information in Korea: Focused on Information Privacy Security in HospitalsTrends in Research on the Security of Medical Information in Korea: Focused on Information Privacy Security in Hospitals
Yong-Woon Kim, Namin Cho, Hye-Jung JangYong-Woon Kim, Namin Cho, Hye-Jung Jang
KMSID: 1075892 Healthc Inform Res. 2018;24(1):61-68. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.61 |
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| 69 |
Effects of Flipped Learning Using Online Materials in a Surgical Nursing Practicum: A Pilot Stratified Group-Randomized TrialEffects of Flipped Learning Using Online Materials in a Surgical Nursing Practicum: A Pilot Stratified Group-Randomized Trial
Myung Kyung Lee, Bu Kyung ParkMyung Kyung Lee, Bu Kyung Park
KMSID: 1075893 Healthc Inform Res. 2018;24(1):69-78. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.69 |
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| 79 |
Customer Discovery as the First Essential Step for Successful Health Information Technology System DevelopmentCustomer Discovery as the First Essential Step for Successful Health Information Technology System Development
Punyotai Thamjamrassri, YuJin Song, JaeHyun Tak, HoYong Kang, Hyoun-Joong Kong, Jeeyoung HongPunyotai Thamjamrassri, YuJin Song, JaeHyun Tak, HoYong Kang, Hyoun-Joong Kong, Jeeyoung Hong
KMSID: 1075894 Healthc Inform Res. 2018;24(1):79-85. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.79 |
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| 86 |
Applying Deep Learning in Medical Images: The Case of Bone Age EstimationApplying Deep Learning in Medical Images: The Case of Bone Age Estimation
Jang Hyung Lee, Kwang Gi KimJang Hyung Lee, Kwang Gi Kim
KMSID: 1075895 Healthc Inform Res. 2018;24(1):86-92. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.86 |
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| 93 |
Correction: Development and Evaluation of an Obesity Ontology for Social Big Data AnalysisCorrection: Development and Evaluation of an Obesity Ontology for Social Big Data Analysis
Ae Ran Kim, Hyeoun-Ae Park, Tae-Min SongAe Ran Kim, Hyeoun-Ae Park, Tae-Min Song
KMSID: 1075896 Healthc Inform Res. 2018;24(1):93-93. Published online 2018 January 31 DOI: http://dx.doi.org/10.4258/hir.2018.24.1.93 |
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