- Logistic regression analysis
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Park YG
- KMID: 2295057
- J Korean Acad Fam Med.
- 2001 Jul;22(7):1007-1020.
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- An Introduction to Logistic Regression: From Basic Concepts to Interpretation with Particular Attention to Nursing Domain
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Park HA
- KMID: 1739479
- J Korean Acad Nurs.
- 2013 Apr;43(2):154-164.
- doi: 10.4040/jkan.2013.43.2.154
PURPOSE: The purpose of this article is twofold: 1) introducing logistic regression (LR), a multivariable method for modeling the relationship between multiple independent variables and a categorical dependent variable, and... -
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- Statistical notes for clinical researchers: logistic regression
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Kim HY
- KMID: 2403076
- Restor Dent Endod.
- 2017 Nov;42(4):342-348.
- doi: 10.5395/rde.2017.42.4.342
No abstract available. -
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- The Study of the Influence of Induced Abortion on Secondary Infertility analyzed by Logistic Regression
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Lee WC
- KMID: 2282151
- Korean J Prev Med.
- 1982 Oct;15(1):179-186.
The methods controlling the confounding factors were discussed using the data of secondary infertility with induced abortion. Mantel-Haenszel method and logistic model were applied in the analysis to find out... -
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- Comparisons of predictive modeling techniques for breast cancer in Korean women
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Lee SM
- KMID: 2330837
- J Korean Soc Med Inform.
- 2008 Mar;14(1):37-44.
OBJECTIVE: To develop breast cancer prediction models and to compare their predictive performance by using Bayesian Networks (BN), Naive Bayes (NB), Classification and Regression Trees (CART), and Logistic Regression (LR). METHODS:... -
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- Regression Methods for Overdispersed Dichotomous Response Data
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Kim DK, Han M, Jeon W, Myoung SM, Song KJ
- KMID: 2341125
- J Korean Neuropsychiatr Assoc.
- 2005 Sep;44(5):549-552.
In neuropsychiatrical research, many problems of statistical inference concern the relationship between the PTSD and traumatic experiences. The logistic model is widely used for modeling a relationship between the covariate... -
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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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- Bayesian Network Approaches to Health Services Research
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Lee SM
- KMID: 2330727
- J Korean Soc Med Inform.
- 2006 Mar;12(1):71-81.
OBJECTIVE: To explore the feasibility of using the Bayesian network approach to study health outcomes and evaluate its predictive performance. METHODS: The Human immuno-deficiency virus Cost and Services Utilization Study... -
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- Predicting Breast Cancer Survivability: Comparison of Five Data Mining Techniques
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Endo A, Takeo S, Tanaka H
- KMID: 2330791
- J Korean Soc Med Inform.
- 2007 Jun;13(2):177-180.
OBJECTIVE: Today in United States, about one in eight women have been affected with breast cancer over their lifetime. Up to today, some various prediction models using SEER (Surveillance Epidemiology... -
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- The development of patient-tailored asthma prediction model for the alarm system
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Yun HS, Rah WJ, Choi YJ, Kim JH, Oh JW, Kim HH, Chang YS, Yoo KH, Sohn KT
- KMID: 2391922
- Allergy Asthma Respir Dis.
- 2016 Sep;4(5):328-339.
- doi: 10.4168/aard.2016.4.5.328
PURPOSE: The increased incidence of asthma due to rising allergic diseases requires the prevention of worsening asthma. It is necessary to develop a patient-tailored asthma prediction model. METHODS: We developed causative... -
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- On the Use of Neural Networks for the Risk Factor Analysis of NIDDM
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Suh HS, Choi JW, Lee HK, Min BG
- KMID: 2329756
- J Korean Soc Med Inform.
- 1998 Dec;4(2):127-131.
There were many cases to apply artificial intelligence to medicine. Neural networks are nonparametric pattern recognition techniques that can be used to model complex relationships. In this paper, we present... -
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- Logistic LASSO regression for the diagnosis of breast cancer using clinical demographic data and the BI-RADS lexicon for ultrasonography
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Kim SM, Kim Y, Jeong K, Jeong H, Kim J
- KMID: 2401143
- Ultrasonography.
- 2018 Jan;37(1):36-42.
- doi: 10.14366/usg.16045
PURPOSE: The aim of this study was to compare the performance of image analysis for predicting breast cancer using two distinct regression models and to evaluate the usefulness of incorporating... -
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- Multivariate Analysis for Clinicians
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Oh JH, Chung SW
- KMID: 2049401
- Clin Should Elbow.
- 2013 Jun;16(1):63-72.
In medical research, multivariate analysis, especially multiple regression analysis, is used to analyze the influence of multiple variables on the result. Multiple regression analysis should include variables in the model... -
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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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- Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes
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Park C, Jiang N, Park T
- KMID: 2468873
- Genomics Inform.
- 2019 Dec;17(4):e47.
- doi: 10.5808/GI.2019.17.4.e47
The achievements of genome-wide association studies have suggested ways to predict diseases, such as type 2 diabetes (T2D), using single-nucleotide polymorphisms (SNPs). Most T2D risk prediction models have used SNPs... -
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- Predicting Suicidal Ideation in College Students with Mental Health Screening Questionnaires
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Shim G, Jeong B
- KMID: 2427571
- Psychiatry Investig.
- 2018 Nov;15(11):1037-1045.
- doi: 10.30773/pi.2018.08.21.3
OBJECTIVE: The present study aimed to identify risk factors for future SI and to predict individual-level risk for future or persistent SI among college students. METHODS: Mental health check-up data collected... -
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- Factors Influencing Intention of Vietnamese to Use Korean Medical Tourism
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Yom YH, Kim MA
- KMID: 2355211
- J Korean Acad Nurs Adm.
- 2016 Sep;22(4):332-343.
- doi: 10.11111/jkana.2016.22.4.332
PURPOSE: The purpose of this study was to identify factors related to Vietnamese customers who use Korean medical and tourism services. The study was based on the Anderson Models METHODS: Participants... -
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- Post-hoc simulation study of computerized adaptive testing for the Korean Medical Licensing Examination
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Seo DG, Choi J
- KMID: 2439270
- J Educ Eval Health Prof.
- 2018;15:14.
- doi: 10.3352/jeehp.2018.15.14
PURPOSE: Computerized adaptive testing (CAT) has been adopted in licensing examinations because it improves the efficiency and accuracy of the tests, as shown in many studies. This simulation study investigated... -
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- Comparison of Predictive Models for the Early Diagnosis of Diabetes
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Jahani M, Mahdavi M
- KMID: 2166941
- Healthc Inform Res.
- 2016 Apr;22(2):95-100.
- doi: 10.4258/hir.2016.22.2.95
OBJECTIVES: This study develops neural network models to improve the prediction of diabetes using clinical and lifestyle characteristics. Prediction models were developed using a combination of approaches and concepts. METHODS: We... -
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- Machine Learning-Based Prediction of Korean Triage and Acuity Scale Level in Emergency Department Patients
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Choi SW, Ko T, Hong KJ, Kim KH
- KMID: 2462229
- Healthc Inform Res.
- 2019 Oct;25(4):305-312.
- doi: 10.4258/hir.2019.25.4.305
OBJECTIVES: Triage is a process to accurately assess and classify symptoms to identify and provide rapid treatment to patients. The Korean Triage and Acuity Scale (KTAS) is used as a... -
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