- Prediction of dental caries in 12-year-old children using machine-learning algorithms
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Yang YH, Kim JS, Jeong SH
- KMID: 2471985
- J Korean Acad Oral Health.
- 2020 Mar;44(1):55-63.
- doi: 10.11149/jkaoh.2020.44.1.55
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... -
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- Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms
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Symum H, Zayas-Castro JL
- KMID: 2469397
- Healthc Inform Res.
- 2020 Jan;26(1):20-33.
- doi: 10.4258/hir.2020.26.1.20
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... -
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- Development and Evaluation of Electronic Health Record Data-Driven Predictive Models for Pressure Ulcers
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Park SK, Park HA, Hwang H
- KMID: 2461857
- J Korean Acad Nurs.
- 2019 Oct;49(5):575-585.
- doi: 10.4040/jkan.2019.49.5.575
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... -
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- Cost-Effectiveness Analysis for National Dyslipidemia Screening Program in Korea: Results of Best Case Scenario Analysis Using a Markov Model
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Kim JH, Park EC, Kim TH, Nam CM, Chun SY, Lee TH, Park S
- KMID: 2460883
- Health Policy Manag.
- 2019 Sep;29(3):357-367.
- doi: 10.4332/KJHPA.2019.29.3.357
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... -
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- Evaluation of Food Labeling Policy in Korea: Analyzing the Community Health Survey 2014–2017
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Jo HS, Jung SM
- KMID: 2455493
- J Korean Med Sci.
- 2019 Aug;34(32):e211.
- doi: 10.3346/jkms.2019.34.e211
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
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Hong S, Lee D
- KMID: 2451449
- J Korean Acad Community Health Nurs.
- 2019 Jun;30(2):130-140.
- doi: 10.12799/jkachn.2019.30.2.130
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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- Cost-Effectiveness Analysis of Hospice-Palliative Care for Adults with Terminal Cancer in South Korea
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Ju YJ, Kim W, Choy YS, Lee JE, Lee SA, Jang J, Park EC
- KMID: 2449425
- Korean J Med.
- 2019 Jun;94(3):273-280.
- doi: 10.3904/kjm.2019.94.3.273
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... -
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- A Prediction Model of Factors related to Career Maturity in Korean High School Students
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Seo J, Kim M
- KMID: 2449183
- Child Health Nurs Res.
- 2019 Apr;25(2):95-102.
- doi: 10.4094/chnr.2019.25.2.95
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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- Machine-Learning Based Automatic and Real-time Detection of Mouse Scratching Behaviors
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Park I, Lee K, Bishayee K, Jeon HJ, Lee H, Lee U
- KMID: 2439006
- Exp Neurobiol.
- 2019 Feb;28(1):54-61.
- doi: 10.5607/en.2019.28.1.54
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... -
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- Predicting Surgical Complications in Adult Patients Undergoing Anterior Cervical Discectomy and Fusion Using Machine Learning
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Arvind V, Kim JS, Oermann EK, Kaji D, Cho SK
- KMID: 2437888
- Neurospine.
- 2018 Dec;15(4):329-337.
- doi: 10.14245/ns.1836248.124
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... -
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- Predictors of intentional intoxication using decision tree modeling analysis: a retrospective study
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Oh ES, Choi JH, Lee JW, Park SY
- KMID: 2433159
- Clin Exp Emerg Med.
- 2018 Dec;5(4):230-239.
- doi: 10.15441/ceem.17.276
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... -
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- A pilot study using machine learning methods about factors influencing prognosis of dental implants
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Ha SR, Park HS, Kim EH, Kim HK, Yang JY, Heo J, Yeo IS
- KMID: 2429371
- J Adv Prosthodont.
- 2018 Dec;10(6):395-400.
- doi: 10.4047/jap.2018.10.6.395
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... -
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- Case Control Study Identifying the Predictors of Unplanned Intensive Care Unit Readmission After Discharge
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Park MO, Oh HS
- KMID: 2434707
- J Korean Crit Care Nurs.
- 2018 Oct;11(3):45-57.
- doi: 10.0000/jkccn.2018.11.3.45
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... -
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- Prognostic Factors and Decision Tree for Long-Term Survival in Metastatic Uveal Melanoma
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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
- KMID: 2424786
- Cancer Res Treat.
- 2018 Oct;50(4):1130-1139.
- doi: 10.4143/crt.2017.171
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... -
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- Analysis of Klebsiella as a Prognostic Factor of Ocular Outcomes in Endogenous Endophthalmitis with Decision Tree Analysis
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Jung H, Kim SW, Chang HH, Lee SA, Kim Y, Hwang S, Kim SJ, Lee JM
- KMID: 2420908
- Infect Chemother.
- 2018 Sep;50(3):238-251.
- doi: 10.3947/ic.2018.50.3.238
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... -
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- Evaluating Pedicle-Screw Instrumentation Using Decision-Tree Analysis Based on Pullout Strength
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Varghese V, Krishnan V, Kumar GS
- KMID: 2426593
- Asian Spine J.
- 2018 Aug;12(4):611-621.
- doi: 10.31616/asj.2018.12.4.611
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... -
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- Anesthesia research in the artificial intelligence era
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Lee HC, Jung CW
- KMID: 2436031
- Anesth Pain Med.
- 2018 Jul;13(3):248-255.
- doi: 10.17085/apm.2018.13.3.248
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... -
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- A New Scoring System for the Differential Diagnosis between Tuberculous Meningitis and Viral Meningitis
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Lee SA, Kim SW, Chang HH, Jung H, Kim Y, Hwang S, Kim S, Park HK, Lee JM
- KMID: 2417540
- J Korean Med Sci.
- 2018 Jul;33(31):e201.
- doi: 10.3346/jkms.2018.33.e201
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... -
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- 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
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Kim HS, Jeong SH, Park SK
- KMID: 2438579
- J Korean Biol Nurs Sci.
- 2018 May;20(2):103-113.
- doi: 10.7586/jkbns.2018.20.2.103
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... -
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- Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques
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Lee J, Kim HR
- KMID: 2410529
- J Korean Med Sci.
- 2018 May;33(19):e144.
- doi: 10.3346/jkms.2018.33.e144
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... -
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