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A New Online Journal Management System

Chang H, Kong HJ

No abstract available.
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Correction: Development and Evaluation of an Obesity Ontology for Social Big Data Analysis

Kim AR, Park HA, Song TM

The affiliation of the third author, Tae-Min Song, was changed during the submission and review process of the article. The third authors' affiliation should be corrected.
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Trends in Research on the Security of Medical Information in Korea: Focused on Information Privacy Security in Hospitals

Kim YW, Cho N, Jang HJ

OBJECTIVES: Information technology involves a risk of privacy violation in providing easy access to confidential information,such as personal information and medical information through the Internet. In this study, we investigated...
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Enchanted Life Space: Adding Value to Smart Health by Integrating Human Desires

Kim J, Kam HJ, Park YR, Yoo S, Oh JS, Kim YH, Lee JH

OBJECTIVES: Developments in advanced technology have unlocked an era of smart health, transforming healthcare practices inside and outside hospitals for both medical staff and patients. It is now possible for...
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Bayesian-Based Decision Support System for Assessing the Needs for Orthodontic Treatment

Thanathornwong B

OBJECTIVES: In this study, a clinical decision support system was developed to help general practitioners assess the need for orthodontic treatment in patients with permanent dentition. METHODS: We chose a Bayesian...
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Scenario-Based Assessment of User Needs for Point-of-Care Robots

Lee HS, Kim J

OBJECTIVES: This study aimed to derive specific user requirements and barriers in a real medical environment to define the essential elements and functions of two types of point-of-care (POC) robot:...
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Comparison and Analysis of ISO/IEEE 11073, IHE PCD-01, and HL7 FHIR Messages for Personal Health Devices

Lee S, Do H

OBJECTIVES: Increasing use of medical devices outside of healthcare facilities inevitably requires connectivity and interoperability between medical devices and healthcare information systems. To this end, standards have been developed and...
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Customer Discovery as the First Essential Step for Successful Health Information Technology System Development

Thamjamrassri P, Song Y, Tak J, Kang H, Kong HJ, Hong J

OBJECTIVES: Customer discovery (CD) is a method to determine if there are actual customers for a product/service and what they would want before actually developing the product/service. This concept, however,...
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Automatic Glaucoma Detection Method Applying a Statistical Approach to Fundus Images

Septiarini A, Khairina D, Kridalaksana AH, Hamdani H

OBJECTIVES: Glaucoma is an incurable eye disease and the second leading cause of blindness in the world. Until 2020, the number of patients of this disease is estimated to increase....
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Effects of Flipped Learning Using Online Materials in a Surgical Nursing Practicum: A Pilot Stratified Group-Randomized Trial

Lee MK, Park BK

OBJECTIVES: This study examined the effect of flipped learning in comparison to traditional learning in a surgical nursing practicum. METHODS: The subjects of this study were 102 nursing students in their...
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Evaluating the Dietary and Nutritional Apps in the Google Play Store

Schumer H, Amadi C, Joshi A

OBJECTIVES: The objective of this study was to evaluate the features of diet and nutrition apps available in the Google Play Store. METHODS: A search was conducted in August 2017 using...
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Applying Deep Learning in Medical Images: The Case of Bone Age Estimation

Lee JH, Kim KG

OBJECTIVES: A diagnostic need often arises to estimate bone age from X-ray images of the hand of a subject during the growth period. Together with measured physical height, such information...
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Comparison of Models for the Prediction of Medical Costs of Spinal Fusion in Taiwan Diagnosis-Related Groups by Machine Learning Algorithms

Kuo CY, Yu LC, Chen HC, Chan CL

OBJECTIVES: The aims of this study were to compare the performance of machine learning methods for the prediction of the medical costs associated with spinal fusion in terms of profit...
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