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Prediction of Diabetes Using Data Mining and Machine Learning Algorithms: A Cross-Sectional Study

Shojaee-Mend H, Velayati F, Tayefi B, Babaee E

Objectives: This study aimed to develop a model to predict fasting blood glucose status using machine learning and data mining, since the early diagnosis and treatment of diabetes can improve...
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The Prediction Model of Body Image Distortion in Korean Adolescent in the Era of COVID-19 Using Decision Tree Analysis

Han M

Purpose: Body image distortion (BID) in adolescents is a crucial problem that causes both abnormal eating habits and unhealthy weight control behaviors. COVID-19 has had a negative impact on adolescents’...
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New Approaches to Xerostomia with Salivary Flow Rate Based on Machine Learning Algorithm

Lee YH, Auh QS, Park HK

Purpose: We aimed to investigate the objective cutoff values of unstimulated flow rates (UFR) and stimulated salivary flow rates (SFR) in patients with xerostomia and to present an optimal machine...
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A prediction model for adolescents’ skipping breakfast using the CART algorithm for decision trees: 7th (2016–2018) Korea National Health and Nutrition Examination Survey

Choi SA, Chung SS, Rho JO

Purpose This study sought to predict the reasons for skipping breakfast by adolescents aged 13–18 years using the 7th Korea National Health and Nutrition Examination Survey (KNHANES). Methods The participants included 1,024 adolescents....
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A machine learning based decision tree analysis of influential factor for the number of remaining teeth in Korean adults

Hwang SY, Park JE

Objectives: This study aims to investigate the effect of determinants on the number of remaining teeth in Korean adults using a machine learning-based decision tree analysis. Methods: The study used data...
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The identification of high-risk groups for long-term care insurance: A retrospective study using national health insurance service database

Song MK, Park YW, Han EJ

Purpose: This study aimed to identify high-risk groups for Long-Term Care Insurance (LTCI) in older people not approved for LTCI and to examine the characteristics of each high-risk group. Methods: This...
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Machine learning for the prediction of preclinical airway management in injured patients: a registry-based trial

Luckscheiter A, Zink W, Lohs T, Eisenberger J, Thiel M, Viergutz T

Objective The aim of this study was to determine the feasibility of using machine learning to establish the need for preclinical airway management for injured patients based on a standardized...
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A model for predicting fall experience in the elderly population over 65 years old: Decision tree analysis

Han M

Purpose: This study aimed to construct a model to predict whether the elderly population over 65 years of age will experience falls according to multi-drug therapy and related factors. Methods:...
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The Primary Process and Key Concepts of Economic Evaluation in Healthcare

Kim Y, Kim Y, Lee HJ, Lee S, Park SY, Oh SH, Jang S, Lee T, Ahn J, Shin S

Economic evaluations in the healthcare are used to assess economic efficiency of pharmaceuticals and medical interventions such as diagnoses and medical procedures. This study introduces the main concepts of economic...
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Cost-Effectiveness Analysis of Home-Based Hospice-Palliative Care for Terminal Cancer Patients

Kim Ys, Han E, Lee Jw, Kang HT

Purpose: We compared cost-effectiveness parameters between inpatient and homebased hospice-palliative care services for terminal cancer patients in Korea. Methods: A decision-analytic Markov model was used to compare the cost-effectiveness of...
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Decision Tree Model for Predicting Hospice Palliative Care Use in Terminal Cancer Patients

Lee HJ, Na II, Kang KA

Purpose: This study attempted to develop clinical guidelines to help patients use hospice and palliative care (HPC) at an appropriate time after writing physician orders for lifesustaining treatment (POLST) by...
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Difficult Biliary Cannulation from the Perspective of PostEndoscopic Retrograde Cholangiopancreatography Pancreatitis: Identifying the Optimal Timing for the Rescue Cannulation Technique

Lee YS, Cho CM, Cho KB, Heo J, Jung MK, Kim SB, Kim KH, Kim TN, Lee DW, Han J, Kim HG, Kim D, Kim H

Background/Aims: Recently, the European Society of Gastrointestinal Endoscopy (ESGE) proposed criteria for “difficult biliary cannulation” during endoscopic retrograde cholangiopancreatography (ERCP). This study aimed to investigate the clinical relevance of the...
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Identification of Subgroups with Poor Glycemic Control among Patients with Type 2 Diabetes Mellitus: Based on the Korean National Health and Nutrition Examination Survey from KNHANES VII (2016 to 2018)

Kim HS, Jeong SH

Purpose: This study was performed to assess the level of blood glucose and to identify poor glycemic control groups among patients with type 2 diabetes mellitus (DM). Methods: Data of...
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Comparison of the Prediction Model of Adolescents’ Suicide Attempt Using Logistic Regression and Decision Tree: Secondary Data Analysis of the 2019 Youth Health Risk Behavior Web-Based Survey

Lee Y, Kim H, Lee Y, Jeong H

Purpose: The purpose of this study was to develop and compare the prediction model for suicide attempts by Korean adolescents using logistic regression and decision tree analysis. Methods: This study...
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Analysis of Subgroups with Lower Level of Patient Safety Perceptions Using Decision-Tree Analysis

Shin SH

Purpose: This study was aimed to investigate experiences, perceptions, and educational needs related to patient safety and the factors affecting these perceptions. Methods: Study design was a descriptive survey conducted...
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Predictive Model for Differential Diagnosis of Inflammatory Papular Dermatoses of the Face

Kim BR, Kim M, Choi CW, Cho S, Youn SW

Background: The clinical features of inflammatory papulardermatoses of the face are very similar. Their clinical manifestationshave been described on the basis of a small numberof case reports and are not...
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Prediction Models of Mild Cognitive Impairment Using the Korea Longitudinal Study of Ageing

Park H, Ha J

Purpose: The purpose of this study was to compare sociodemographic characteristics of a normal cognitive group and mild cognitive impairment group, and establish prediction models of Mild Cognitive Impairment (MCI)....
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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....
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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...
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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...
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