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OryzaGP: rice gene and protein dataset for named-entity recognition

Larmande P, Do H, Wang Y

Text mining has become an important research method in biology, with its original purpose to extract biological entities, such as genes, proteins and phenotypic traits, to extend knowledge from scientific...
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Feasibility of fully automated classification of whole slide images based on deep learning

Cho KO, Lee SH, Jang HJ

Although microscopic analysis of tissue slides has been the basis for disease diagnosis for decades, intra- and inter-observer variabilities remain issues to be resolved. The recent introduction of digital scanners...
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Prediction of Return-to-original-work after an Industrial Accident Using Machine Learning and Comparison of Techniques

Lee J, Kim HR

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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Supervised Model for Identifying Differentially Expressed Genes in DNA Microarray Gene Expression Dataset Using Biological Pathway Information

Chung TS, Kim K, Kim JH

  • KMID: 1572618
  • Genomics Inform.
  • 2005 Mar;3(1):30-34.
Microarray technology makes it possible to measure the expressions of tens of thousands of genes simultaneously under various experimental conditions. Identifying differentially expressed genes in each single experimental condition is...
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Quantitative Thoracic Magnetic Resonance Criteria for the Differentiation of Cysts from Solid Masses in the Anterior Mediastinum

Hwang EJ, Paek M, Yoon SH, Kim J, Lee HY, Goo JM, Kim H, Kim H, Ackman JB

OBJECTIVE: To evaluate quantitative magnetic resonance imaging (MRI) parameters for differentiation of cysts from and solid masses in the anterior mediastinum. MATERIALS AND METHODS: The development dataset included 18 patients from...
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An imputation-based method to reduce bias in model parameter estimates due to non-random censoring in oncology trials

Chae D, Park K

In oncology trials, patients are withdrawn from study at the time when progressive disease (PD) is diagnosed, which is defined as 20% increase of tumor size from the minimum. Such...
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Effect of Critical Care Transport on Patients' Survival after Inter-Hospital Transport of Critically Ill Patients

Park YJ, Lee KW, Jeong J, Jang IW, Ahn KO, Ro YS, Shin SD

PURPOSE: Critical care transport (CCT) has been known to be beneficial for inter-hospital transport of critically ill patients. Seoul Mobile Intensive Care Unit (SMICU) has been established and provided CCT...
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Classification of radiographic lung pattern based on texture analysis and machine learning

Yoon Y, Hwang T, Choi H, Lee H

This study evaluated the feasibility of using texture analysis and machine learning to distinguish radiographic lung patterns. A total of 1200 regions of interest (ROIs) including four specific lung patterns...
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Application of Convolutional Neural Network in the Diagnosis of Jaw Tumors

Poedjiastoeti W, Suebnukarn S

OBJECTIVES: Ameloblastomas and keratocystic odontogenic tumors (KCOTs) are important odontogenic tumors of the jaw. While their radiological findings are similar, the behaviors of these two types of tumors are different....
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The development of food image detection and recognition model of Korean food for mobile dietary management

Park SJ, Palvanov A, Lee CH, Jeong N, Cho YI, Lee HJ

BACKGROUND/OBJECTIVES: The aim of this study was to develop Korean food image detection and recognition model for use in mobile devices for accurate estimation of dietary intake. SUBJECTS/METHODS: We collected food...
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Arousal and Valence Classification Model Based on Long Short-Term Memory and DEAP Data for Mental Healthcare Management

Choi EJ, Kim DK

OBJECTIVES: Both the valence and arousal components of affect are important considerations when managing mental healthcare because they are associated with affective and physiological responses. Research on arousal and valence...
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Verification of a Western Nomogram for Predicting Oncotype DXâ„¢ Recurrence Scores in Korean Patients with Breast Cancer

Kim JM, Ryu JM, Kim I, Choi HJ, Nam SJ, Kim SW, Yu J, Lee SK, Lee JE

A recent study conducted at the University of Tennessee Medical Center using a large dataset from the National Cancer Database (NCDB) reported the use of nomograms for predicting Oncotype DXâ„¢...
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Effect of Normalization on Detection of Differentially-Expressed Genes with Moderate Effects

Cho S, Lee E, Kim Y, Park T

  • KMID: 2166266
  • Genomics Inform.
  • 2007 Sep;5(3):118-123.
The current existing literature offers little guidance on how to decide which method to use to analyze one-channel microarray measurements when dealing with large, grouped samples. Most previous methods have...
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Manufacture of the Serially Sectioned Images of the Whole Body (Fourth Report: Methods for Selection and Treatment of the Cadaver and for Scanning of the MRIs and CTs)

Park JS, Chung MS

  • KMID: 2030760
  • Korean J Anat.
  • 2004 Apr;37(2):157-173.
Visible Human Project dataset made in the United States has some problems which were caused by the cadaver selection, cadaver treatment, MRI (magnetic resonance image) scanning, and CT (computerized tomograph)...
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Predicting Autism Spectrum Disorder Using Blood-based Gene Expression Signatures and Machine Learning

Oh DH, Kim IB, Kim SH, Ahn DH

OBJECTIVE: The aim of this study was to identify a transcriptomic signature that could be used to classify subjects with autism spectrum disorder (ASD) compared to controls on the basis...
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Fast Convolutional Method for Automatic Sleep Stage Classification

Yulita IN, Fanany MI, Arymurthy

OBJECTIVES: Polysomnography is essential to diagnose sleep disorders. It is used to identify a patient's sleep pattern during sleep. This pattern is obtained by a doctor or health practitioner by...
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Diabetic peripheral neuropathy class prediction by multicategory support vector machine model: a cross-sectional study

Kazemi M, Moghimbeigi A, Kiani J, Mahjub H, Faradmal J

OBJECTIVES: Diabetes is increasing in worldwide prevalence, toward epidemic levels. Diabetic neuropathy, one of the most common complications of diabetes mellitus, is a serious condition that can lead to amputation....
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Characterization and Pathogenicity of New Record of Anthracnose on Various Chili Varieties Caused by Colletotrichum scovillei in Korea

Oo MM, Lim G, Jang HA, Oh SK

The anthracnose disease caused by Colletotrichum species is well-known as a major plant pathogen that primarily causes fruit rot in pepper and reduces its marketability. Thirty-five isolates representing species of...
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Prescription Patterns and Appropriateness of Topical Mupirocin in Ambulatory Care using the Korean National Health Insurance Claims Database

Suh J, Jeong KH, Kim E

BACKGROUND: Mupirocin, a topical antimicrobial agent has been used for patients with methicillin-resistant Staphylococcus aureus and recently mupirocin resistance was issued in some studies. The objective of this study was...
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Analysis of differences in human leukocyte antigen between the two Wellcome Trust Case Control Consortium control datasets

Jang CS, Choi W, Cook S, Han B

The Wellcome Trust Case Control Consortium (WTCCC) study was a large genome-wide association study that aimed to identify common variants associated with seven diseases. That study combined two control datasets...
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