Skip Navigation
Skip to contents
Filter

ARTICLE TYPE

more+
SELECT FILTER
 
Close

PUBLICATION DATE

11 results
Display

Era of Personal Health Records in Korea

Lee JH

CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Analysis of the Effects of Electronic Medical Records and a Payment Scheme on the Length of Hospital Stay

Likka MH, Kurihara Y

Objectives: This study analyzed the effects of computerization of medical information systems and a hospital payment scheme on medical care outcomes. Specifically, we examined the effects of Electronic Medical Records...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Development and Usability Evaluation of a Telemedicine System for Management and Monitoring of Patients with Diabetic Foot

Bahaadinbeigy K, Sheikhtaheri A, Fatehi F, Moulaei K

Objectives: The aim of the present study was to develop and evaluate the usability of a telemedicine system for management and monitoring of patients with diabetic foot. Methods: This study was...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Protected Health Information Recognition by Fine-Tuning a Pre-training Transformer Model

Oh SH, Kang M, Lee Y

Objectives: De-identifying protected health information (PHI) in medical documents is important, and a prerequisite to deidentification is the identification of PHI entity names in clinical documents. This study aimed to...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Texture, Morphology, and Statistical Analysis to Differentiate Primary Brain Tumors on Two-Dimensional Magnetic Resonance Imaging Scans Using Artificial Intelligence Techniques

Bhattacharjee S, Prakash D, Kim CH, Kim HC, Choi HK

Objectives: A primary brain tumor starts to grow from brain cells, and it occurs as a result of errors in the DNA of normal cells. Therefore, this study was carried...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Review of Smart Hospital Services in Real Healthcare Environments

Kwon H, An S, Lee HY, Cha WC, Kim S, Cho M, Kong HJ

Objectives: Smart hospitals involve the application of recent information and communications technology (ICT) innovations to medical services; however, the concept of a smart hospital has not been rigorously defined. In...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Reliability of Measuring Leg Segments and Joint Angles Using Smartphones during Aquatic Exercise

Lee DH, Han S

Objectives: Aquatic therapy is a significant intervention method for both patients and healthy individuals. However, in clinical practice, quantitative measurements are rarely applied in aquatic therapy due to the disadvantages...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
ANNO: A General Annotation Tool for Bilingual Clinical Note Information Extraction

Lee KH, Lee H, Park JH, Kim YJ, Lee Y

Objectives: This study was conducted to develop a generalizable annotation tool for bilingual complex clinical text annotation, which led to the design and development of a clinical text annotation tool,...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Medical Representatives’ User Acceptance of Remote e-Detailing Technology: A Moderated Mediation Analysis of Technology Acceptance Model

Kim HW, Chang H

Objectives: E-detailing methods have steadily evolved toward more contactless and interactive channels, which have received considerable attention during the coronavirus disease 2019 (COVID-19) crisis. Based on the technology acceptance model,...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Impact of Universal Suicide Risk Screening in a Pediatric Emergency Department: A Discrete Event Simulation Approach

McKinley KW, Rickard KNZ, Latif F, Wavra T, Berg J, Morrison S, Chamberlain JM, Patel SJ

Objectives: The aim of this study was to use discrete event simulation (DES) to model the impact of two universal suicide risk screening scenarios (emergency department [ED] and hospital-wide) on...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Development and Comparison of Three Data Models for Predicting Diabetes Mellitus Using Risk Factors in a Nigerian Population

Odukoya O, Nwaneri S, Odeniyi I, Akodu B, Oluwole E, Olorunfemi G, Popoola O, Osuntoki A

Objectives: This study developed and compared the performance of three widely used predictive models—logistic regression (LR), artificial neural network (ANN), and decision tree (DT)—to predict diabetes mellitus using the socio-demographic,...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close

Go to Top

Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr