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The clinical decision analysis using decision tree

Bae JM

The clinical decision analysis (CDA) has used to overcome complexity and uncertainty in medical problems. The CDA is a tool allowing decision-makers to apply evidence-based medicine to make objective clinical...
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Development and application of patient decision aids

Bae JM

With the current overdiagnosis of thyroid cancer resulting from routine screening in Korea, it is necessary to educate the public that not all cancers are malignant. The exposure to patient...
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Lifting Shadows off the End-of-Life Care: Hopes and Beliefs on Video Decision Support Tools for Advance Care Planning

Jeong HJ, Yoon H

As advance care planning is taking center stage in the field of end-of-life care, various tools have been developed to aid in the often emotional and difficult decision-making process. Video...
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Shared decision making: relevant concepts and facilitating strategies

Bae JM

As the paradigm in healthcare nowadays is the evidence-based, patient-centered decision making, the issue of shared decision making (SDM) is highlighted. The aims of this manuscript were to look at...
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Medical informatics methods for the clinical evidence extraction

Song MH, Park DK, Lee YH

Clinical professionals gain new information to assist in patient care when they read the medical literature. Similarly, in clinical preventive medicine, medical science documents that have previously published can be...
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Bayesian-Based Decision Support System for Assessing the Needs for Orthodontic Treatment

Thanathornwong B

OBJECTIVES: In this study, a clinical decision support system was developed to help general practitioners assess the need for orthodontic treatment in patients with permanent dentition. METHODS: We chose a Bayesian...
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Data Mining Application for Knowledge Management in Medical Field

Ho SH, Chae YM, Cho KW, Jee SH, Lee DH

  • KMID: 2329803
  • J Korean Soc Med Inform.
  • 1999 Dec;5(3):169-179.
The purpose of this study are to find useful knowledge through discovering relations and patterns of unknown facts from large data using data mining technique and to introduce a scheme...
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Decision-Making Support Using a Standardized Script and Visual Decision Aid to Reduce Door-to-Needle Time in Stroke

Choi HY, Kim EH, Yoo J, Lee K, Song D, Kim YD, Cho HJ, Nam HS, Lee KY, Lee HS, Heo JH

No abstract available.
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Value-based medicine: concepts and application

Bae JM

Global healthcare in the 21st century is characterized by evidence-based medicine (EBM), patient-centered care, and cost effectiveness. EBM involves clinical decisions being made by integrating patient preference with medical treatment...
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The development of a decision support system for diagnosing nasal allergy

Chae YM, Jang TY, Park IY, Chung SK, Park M

This paper deals with the problem of improving the capability of the medical decision support system (MDSS) for diagnosing nasal allergy by integrating the previously developed expert system with the...
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Clinical Decision Support Model to Predict Occlusal Force in Bruxism Patients

Thanathornwong B, Suebnukarn S

OBJECTIVES: The aim of this study was to develop a decision support model for the prediction of occlusal force from the size and color of articulating paper markings in bruxism...
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Strategies for Appropriate Patient-centered Care to Decrease the Nationwide Cost of Cancers in Korea

Bae JM

In terms of years of life lost to premature mortality, cancer imposes the highest burden in Korea. In order to reduce the burden of cancer, the Korean government has implemented...
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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...
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Knowledge Discovery in a Community Data Set: Malnutrition among the Elderly

Park M, Kim H, Kim SK

OBJECTIVES: The purpose of this study was to design a prediction model that explains the characteristics of elderly adults at risk of malnutrition. METHODS: Data were obtained from a large data...
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Which Bisphosphonate? It's the Compliance!: Decision Analysis

Lee YJ, Park CH, Lee YK, Ha YC, Koo KH

BACKGROUND: The best options of several bisphosphonates for prevention of osteoporotic fractures in postmenopausal women remain controversial. We determined which bisphosphonate provides better efficacy in prevention of osteoporotic fractures using...
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Comparison of Predictive Models for the Early Diagnosis of Diabetes

Jahani M, Mahdavi M

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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Nomogram of Naive Bayesian Model for Recurrence Prediction of Breast Cancer

Kim W, Kim KS, Park RW

OBJECTIVES: Breast cancer has a high rate of recurrence, resulting in the need for aggressive treatment and close follow-up. However, previously established classification guidelines, based on expert panels or regression...
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Performance of the combined models of Pediatric Risk of Admission scores I and II, and C-reactive protein for prediction of hospitalization in febrile children who visited the emergency department

Jeong JS, Kim T, Kim DH, Kang CW, Lee SH, Jeong JH, Lee SB

PURPOSE: To study the performance of the combined models of Pediatric Risk of Admission (PRISA) scores I and II and Creactive protein (CRP) for prediction of hospitalization in febrile children...
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Factors Influencing Nonabsolute Indications for Surgery in Patients With Lower Urinary Tract Symptoms Suggestive of Benign Prostatic Hyperplasia: Analysis Using Causal Bayesian Networks

Kim M, Ramirez L, Yoo C, Choo M, Paick JS, Oh SJ

PURPOSE: To identify the factors affecting the surgical decisions of experienced physicians when treating patients with lower urinary tract symptoms that are suggestive of benign prostatic hyperplasia (LUTS/BPH). METHODS: Patients with...
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Proper time to initiate antiosteoporotic treatment in rheumatoid arthritis with or without glucocorticoid use

Lee SW

  • KMID: 2070106
  • Korean J Intern Med.
  • 2014 Jul;29(4):434-436.
No abstract available.
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