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Use of Robots as a Creative Approach in Healthcare ICT

Kim J

No abstract available.
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Correction: Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA

Gupta A, Liu T, Shepherd S, Paiva W

The original article contained errors.
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National Healthcare Service and Its Big Data Analytics

Nam DJ, Kwon HW, Lee H, Ahn EK

No abstract available.
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Self-management of Chronic Conditions Using mHealth Interventions in Korea: A Systematic Review

Yi JY, Kim Y, Cho YM, Kim H

OBJECTIVES: Population aging has increased the burden of chronic diseases globally. mHealth is often cited as a viable solution to enhance the management of chronic conditions. In this study, we...
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Temporal Segmentation for Capturing Snapshots of Patient Histories in Korean Clinical Narrative

Lee W, Choi J

OBJECTIVES: Clinical discharge summaries provide valuable information about patients' clinical history, which is helpful for the realization of intelligent healthcare applications. The documents tend to take the form of separate...
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Effectiveness of Mobile Health Application Use to Improve Health Behavior Changes: A Systematic Review of Randomized Controlled Trials

Han M, Lee E

OBJECTIVES: The purpose of this study was to examine the effectiveness of mobile health applications in changing health-related behaviors and clinical health outcomes. METHODS: A systematic review was conducted in this...
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Construction of an Electrocardiogram Database Including 12 Lead Waveforms

Chung D, Choi J, Jang JH, Kim TY, Byun J, Park H, Lim HS, Park RW, Yoon D

OBJECTIVES: Electrocardiogram (ECG) data are important for the study of cardiovascular disease and adverse drug reactions. Although the development of analytical techniques such as machine learning has improved our ability...
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Safety and Usability Guidelines of Clinical Information Systems Integrating Clinical Workflow: A Systematic Review

Lee Y, Jung MY, Shin GW, Bahn S, Park T, Cho I, Lee JH

OBJECTIVES: The usability of clinical information systems (CISs) is known to be an essential consideration in ensuring patient safety as well as integrating clinical flow. This study aimed to determine...
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Classification of Iris Colors and Patterns in Koreans

Jang H, Yoon J, Kim YJ, Park Y

OBJECTIVES: The iris is the part of the eye that is colored, and it is an important feature in making an artificial eye. To address the lack of information about...
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Fast Convolutional Method for Automatic Sleep Stage Classification

Yulita IN, Fanany MI, Arymurthy

OBJECTIVES: Polysomnography is essential to diagnose sleep disorders. It is used to identify a patient's sleep pattern during sleep. This pattern is obtained by a doctor or health practitioner by...
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Application of Convolutional Neural Network in the Diagnosis of Jaw Tumors

Poedjiastoeti W, Suebnukarn S

OBJECTIVES: Ameloblastomas and keratocystic odontogenic tumors (KCOTs) are important odontogenic tumors of the jaw. While their radiological findings are similar, the behaviors of these two types of tumors are different....
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Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis

Kwon O, Jeong J, Kim HB, Kwon IH, Park SY, Kim JE, Choi Y

OBJECTIVES: Heart rate variability (HRV) has gained recognition as a noninvasive marker of autonomic activity. HRV is considered a promising tool in various clinical scenarios. The optimal electrocardiogram (ECG) sampling...
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