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Certification for Physicians in Biomedical Informatics

Kim JH

No abstract available.
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Book Review: Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie or Die

Ryu S

No abstract available.
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Measure of Clinical Information Technology Adoption

Lee J, Park YT

OBJECTIVES: The objective of this study was to create a new measure for clinical information technology (IT) adoption as a proxy variable of clinical IT use. METHODS: Healthcare Information and Management...
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Achieving Holistic Health for the Individual through Person-Centered Collaborative Care Supported by Informatics

Koch S

OBJECTIVES: This article seeks to describe the current state of informatics supported collaborative care and to point out areas of future research in this highly interdisciplinary field. METHODS: In this article,...
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Informatics as Tool for Quality Improvement: Rapid Implementation of Guidance for the Management of Chronic Kidney Disease in England as an Exemplar

de Lusignan S

OBJECTIVES: Chronic kidney disease (CKD) is an important cause of excess cardiovascular mortality and morbidity; as well as being associated with progression to end stage renal disease. This condition was...
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Discovery of Outpatient Care Process of a Tertiary University Hospital Using Process Mining

Kim E, Kim S, Song M, Kim S, Yoo D, Hwang H, Yoo S

OBJECTIVES: There is a need for effective processes in healthcare clinics, especially in tertiary hospitals, that consist of a set of complex steps for outpatient care, in order to provide...
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AnsNGS: An Annotation System to Sequence Variations of Next Generation Sequencing Data for Disease-Related Phenotypes

Na YJ, Cho Y, Kim JH

OBJECTIVES: Next-generation sequencing (NGS) data in the identification of disease-causing genes provides a promising opportunity in the diagnosis of disease. Beyond the previous efforts for NGS data alignment, variant detection,...
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Association Rules to Identify Complications of Cerebral Infarction in Patients with Atrial Fibrillation

Jung SJ, Son CS, Kim MS, Kim DJ, Park HS, Kim YN

OBJECTIVES: The purpose of this study was to find risk factors that are associated with complications of cerebral infarction in patients with atrial fibrillation (AF) and to discover useful association...
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Comparison of Machine Learning Algorithms for Classification of the Sentences in Three Clinical Practice Guidelines

Song MH, Lee YH, Kang UG

OBJECTIVES: Clinical Practice Guidelines (CPGs) are an effective tool for minimizing the gap between a physician's clinical decision and medical evidence and for modeling the systematic and standardized pathway used...
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Predictors of Medication Adherence in Elderly Patients with Chronic Diseases Using Support Vector Machine Models

Lee SK, Kang BY, Kim HG, Son YJ

OBJECTIVES: The aim of this study was to establish a prediction model of medication adherence in elderly patients with chronic diseases and to identify variables showing the highest classification accuracy...
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