Skip Navigation
Skip to contents
Results by Year

View Wide

Filter

ARTICLE TYPE

more+
SELECT FILTER
 
Close

PUBLICATION DATE

84 results
Display

Prediction of dental caries in 12-year-old children using machine-learning algorithms

Yang YH, Kim JS, Jeong SH

OBJECTIVES: The decayed-missing-filled (DMFT) index is a representative oral health indicator. Prediction of DMFT index is an important basis for the development of public oral health care projects and strategies...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms

Symum H, Zayas-Castro JL

OBJECTIVES: The study aimed to develop and compare predictive models based on supervised machine learning algorithms for predicting the prolonged length of stay (LOS) of hospitalized patients diagnosed with five...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Development and Evaluation of Electronic Health Record Data-Driven Predictive Models for Pressure Ulcers

Park SK, Park HA, Hwang H

PURPOSE: The purpose of this study was to develop predictive models for pressure ulcer incidence using electronic health record (EHR) data and to compare their predictive validity performance indicators with...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Cost-Effectiveness Analysis for National Dyslipidemia Screening Program in Korea: Results of Best Case Scenario Analysis Using a Markov Model

Kim JH, Park EC, Kim TH, Nam CM, Chun SY, Lee TH, Park S

BACKGROUND: This study evaluated the cost-effectiveness of 21 different national dyslipidemia screening strategies according to total cholesterol (TC) cutoff and screening interval among 40 years or more for the primary...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Evaluation of Food Labeling Policy in Korea: Analyzing the Community Health Survey 2014–2017

Jo HS, Jung SM

BACKGROUND: As Koreans adopt more Westernized diets, consumer demands for processed food products are growing. The Korean government implemented a food labeling system to help people reasonably choose processed foods....
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Identification of High-risk Groups of Suicide from the Depressed Elderly using Decision Tree Analysis

Hong S, Lee D

PURPOSE: The aim of this study is to explore levels of suicidal ideation and identify subgroups of high suicidal risk among the depressed elderly in Korea. METHODS: A descriptive cross-sectional design...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Cost-Effectiveness Analysis of Hospice-Palliative Care for Adults with Terminal Cancer in South Korea

Ju YJ, Kim W, Choy YS, Lee JE, Lee SA, Jang J, Park EC

BACKGROUND/AIMS: Although there is growing interest in hospice-palliative care, little information is available on the effects of such care in South Korea. Addressing this research gap, i.e., determining the cost-effectiveness...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
A Prediction Model of Factors related to Career Maturity in Korean High School Students

Seo J, Kim M

PURPOSE: The purpose of this study was to identify factors associated with career maturity among Korean high school students. METHODS: A descriptive cross-sectional design was adopted using secondary data from the...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Machine-Learning Based Automatic and Real-time Detection of Mouse Scratching Behaviors

Park I, Lee K, Bishayee K, Jeon HJ, Lee H, Lee U

Scratching is a main behavioral response accompanied by acute and chronic itch conditions, and has been quantified as an objective correlate to assess itch in studies using laboratory animals. Scratching...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Predicting Surgical Complications in Adult Patients Undergoing Anterior Cervical Discectomy and Fusion Using Machine Learning

Arvind V, Kim JS, Oermann EK, Kaji D, Cho SK

OBJECTIVE: Machine learning algorithms excel at leveraging big data to identify complex patterns that can be used to aid in clinical decision-making. The objective of this study is to demonstrate...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Predictors of intentional intoxication using decision tree modeling analysis: a retrospective study

Oh ES, Choi JH, Lee JW, Park SY

OBJECTIVE: The suicide rate in South Korea is very high and is expected to increase in coming years. Intoxication is the most common suicide attempt method as well as one...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
A pilot study using machine learning methods about factors influencing prognosis of dental implants

Ha SR, Park HS, Kim EH, Kim HK, Yang JY, Heo J, Yeo IS

PURPOSE: This study tried to find the most significant factors predicting implant prognosis using machine learning methods. MATERIALS AND METHODS: The data used in this study was based on a systematic...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Case Control Study Identifying the Predictors of Unplanned Intensive Care Unit Readmission After Discharge

Park MO, Oh HS

PURPOSE: This study was performed to identify the influencing factors of unplanned intensive care unit (ICU) readmission. METHOD: The study adopted a Rretrospective case control cohort design. Data were collected from...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Prognostic Factors and Decision Tree for Long-Term Survival in Metastatic Uveal Melanoma

Lorenzo D, Ochoa M, Piulats JM, Gutiérrez C, Arias L, Català J, Grau M, Peñafiel , Cobos E, Garcia-Bru P, Rubio MJ, Padrón-Pérez N, Dias B, Pera J, Caminal JM

PURPOSE: The purpose of this study was to demonstrate the existence of a bimodal survival pattern in metastatic uveal melanoma. Secondary aims were to identify the characteristics and prognostic factors...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Analysis of Klebsiella as a Prognostic Factor of Ocular Outcomes in Endogenous Endophthalmitis with Decision Tree Analysis

Jung H, Kim SW, Chang HH, Lee SA, Kim Y, Hwang S, Kim SJ, Lee JM

BACKGROUND: Endogenous endophthalmitis (EE) is a fulminant ocular disease. This study was conducted to explore frequent pathogens and significant prognostic factors associated with poor ocular outcomes. MATERIALS AND METHODS: A retrospective...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Evaluating Pedicle-Screw Instrumentation Using Decision-Tree Analysis Based on Pullout Strength

Varghese V, Krishnan V, Kumar GS

STUDY DESIGN: A biomechanical study of pedicle-screw pullout strength. PURPOSE: To develop a decision tree based on pullout strength for evaluating pedicle-screw instrumentation. OVERVIEW OF LITERATURE: Clinically, a surgeon’s understanding of the...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Anesthesia research in the artificial intelligence era

Lee HC, Jung CW

A noteworthy change in recent medical research is the rapid increase of research using big data obtained from electrical medical records (EMR), order communication systems (OCS), and picture archiving and...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
A New Scoring System for the Differential Diagnosis between Tuberculous Meningitis and Viral Meningitis

Lee SA, Kim SW, Chang HH, Jung H, Kim Y, Hwang S, Kim S, Park HK, Lee JM

BACKGROUND: Tuberculous meningitis (TBM) is associated with high mortality and morbidity despite administering anti-tuberculous chemotherapy to the patients. Differential diagnosis between TBM and viral meningitis (VM) is difficult in some...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Identification of Risky Subgroups with Sleep Problems Among Adult Cancer Survivors Using Decision-tree Analyses: Based on the Korean National Health and Nutrition Examination Survey from 2013 to 2016

Kim HS, Jeong SH, Park SK

PURPOSE: This study was performed to assess problems associated with sleep (short and long sleep duration) and to identify risky subgroups with sleep problems among adult cancer survivors. The study...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques

Lee J, Kim HR

BACKGROUND: Many studies have tried to develop predictors for return-to-work (RTW). However, since complex factors have been demonstrated to predict RTW, it is difficult to use them practically. This study...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close

Go to Top

Copyright © 2022 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr