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Predictors of Remission in Acute and Continuation Treatment of Depressive Disorders

Kim HY, Lee HJ, Jhon M, Kim JW, Kang HJ, Lee JY, Kim SW, Shin IS, Kim JM

Objective: To identify factors predicting remission of depression during acute (12 weeks) and continuation treatment (12 months) using a 1-year, naturalistic prospective study design. Methods: Patients with depressive disorders were recruited...
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Prognostic Prediction Based on Dynamic Contrast-Enhanced MRI and Dynamic Susceptibility Contrast-Enhanced MRI Parameters from Non-Enhancing, T2-High-Signal-Intensity Lesions in Patients with Glioblastoma

Jo SW, Choi SH, Lee EJ, Yoo RE, Kang KM, Yun TJ, Kim JH, Sohn CH

Objective: Few attempts have been made to investigate the prognostic value of dynamic contrast-enhanced (DCE) MRI or dynamic susceptibility contrast (DSC) MRI of non-enhancing, T2-high-signal-intensity (T2-HSI) lesions of glioblastoma multiforme...
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Development and Validation of a Deep Learning Based Diabetes Prediction System Using a Nationwide Population-Based Cohort

Rhee SY, Sung JM, Kim S, Cho IJ, Lee SE, Chang HJ

Background: Previously developed prediction models for type 2 diabetes mellitus (T2DM) have limited performance. We developed a deep learning (DL) based model using a cohort representative of the Korean population. Methods:...
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Direct Bilirubin Is More Valuable than Total Bilirubin for Predicting Prognosis in Patients with Liver Cirrhosis

Lee HA, Jung JY, Lee YS, Jung YK, Kim JH, An H, Yim HJ, Jeen YT, Yeon JE, Byun KS, Um SH, Seo YS

Background/Aims: Most prognostic prediction models for patients with liver cirrhosis include serum total bilirubin (TB) level as a component. This study investigated prognostic performance of serum direct bilirubin (DB) and...
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The Accuracy of Prediction Models in Burn Patients

Woo J, Kym D

Purpose: The purpose of this study was to evaluate the accuracy of four prediction models in adult burn patients. M ethods: This retrospective study was conducted on 696 adult burn patients...
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The Performance of the Current Risk Prediction Scoring Systems in Patients Undergoing Anaortic Off-pump Coronary Artery Bypass Grafting

Choi JW, Hwang HY, Kim KB

Background: This study aimed to evaluate the performance of the Society of Thoracic Surgeons (STS) risk model and European System for Cardiac Operative Risk Evaluation (EuroSCORE) II for patients undergoing...
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Does the Loudness Dependence of Auditory Evoked Potential Predict Response to Selective Serotonin Reuptake Inhibitors?: A Meta-analysis

Yoon S, Kim Y, Lee SH

Objective: Loudness of dependence of the auditory evoked potential (LDAEP) is an electroencephalogram-based measure that represents amplitude changes of auditory evoked potentials in primary auditory cortex. Several narrative reviews argued...
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Predictive Role of Lung Injury Prediction Score in the Development of Acute Respiratory Distress Syndrome in Korea

Kim BK, Kim S, Kim CY, Kim YJ, Lee SH, Cha JH, Kim JH

Purpose: Early recognition and therapeutic intervention are important in patients at high risk of acute respiratory distress syndrome (ARDS). The lung injury prediction score (LIPS) has been used to predict...
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Assessment of different NEoplasias in the adneXa model for differentiation of benign and malignant adnexal masses in Korean women

Nam G, Lee SR, Jeong K, Kim SH, Moon HS, Chae HD

Objective Ultrasonographic differential diagnosis of ovarian tumors is important for appropriate management. We conducted study to compare the performance of the Assessment of Different NEoplasias in the adneXa (ADNEX) model...
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A Clinical Risk Score to Predict In-hospital Mortality from COVID-19 in South Korea

Her AY, Bhak Y, Jun EJ, Yuan SL, Garg S, Lee S, Bhak J, Shin ES

Background: Early identification of patients with coronavirus disease 2019 (COVID-19) who are at high risk of mortality is of vital importance for appropriate clinical decision making and delivering optimal treatment....
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Preoperative cephalhematoma size measured with computed tomography predicts intraoperative bleeding in pediatric patients undergoing cranioplasty

Kim SH, Min KT, Park EK, Rhee H, Yang H, Choi SH

Background: Cranioplasty for the treatment of cephalhematomas in small infants with limited blood volume is challenging because of massive bleeding. This study aimed to elucidate the correlation between cephalhematoma size...
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A Risk Prediction Model for Operative Mortality after Heart Valve Surgery in a Korean Cohort

Kim HJ, Kim JB, Kim SO, Yun SC, Lee S, Lim C, Choi JW, Hwang HY, Kim KH, Lee SH, Yoo JS, Sung K, Je HG, Hong SC, Kim YJ, Kim SH, Chang BC

Background: This study aimed to develop a new risk prediction model for operative mortality in a Korean cohort undergoing heart valve surgery using the Korea Heart Valve Surgery Registry (KHVSR)...
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Machine learning based anti-cancer drug response prediction and search for predictor genes using cancer cell line gene expression

Qiu K, Lee J, Kim H, Yoon S, Kang K

Although many models have been proposed to accurately predict the response of drugs in cell lines recent years, understanding the genome related to drug response is also the key for...
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The Prediction of Bronchopulmonary Dysplasia in Very Low Birth Weight Infants through Clinical Indicators within 1 Hour of Delivery

Shim SY, Yun JY, Cho SJ, Kim MH, Park EA

Background: Despite the advances in neonatology, the incidence of bronchopulmonary dysplasia (BPD) is increasing. It is important to prevent the development of BPD in the first place. The online BPD...
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Effect of First Eye Prediction Error on Refractive Adjustment of Second Eye in Delayed Sequential Bilateral Cataract Surgery

Park MS, Kim MK

Purpose: We investigated the refractive outcomes of second-operated eyes whose diopters of intraocular lens (IOL) were selected based on the prediction error (PE) of the first-operated eye in 1-week-delayed sequential...
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Review of Statistical Methods for Evaluating the Performance of Survival or Other Time-to-Event Prediction Models (from Conventional to Deep Learning Approaches)

Park SY, Park JE, Kim H, Park SH

The recent introduction of various high-dimensional modeling methods, such as radiomics and deep learning, has created a much greater diversity in modeling approaches for survival prediction (or, more generally, time-to-event...
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Renal elastography measurements in children with acute glomerulonephritis

Yoǧurtçuoǧlu B, Damar

Purpose: The aim of this study was to compare the acoustic radiation force impulse elastography (ARFI-e) values of the renal cortical parenchyma in children with acute glomerulonephritis (AGN) and healthy...
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Biomarker-Guided Risk Assessment for Acute Kidney Injury: Time for Clinical Implementation?

Albert C, Haase M, Albert A, Zapf A, Braun-Dullaeus RC, Haase-Fielitz A

Acute kidney injury (AKI) is a common and serious complication in hospitalized patients, which continues to pose a clinical challenge for treating physicians. The most recent Kidney Disease Improving Global...
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Deep Neural Network-Based Prediction of the Risk of Advanced Colorectal Neoplasia

Min JK, Yang HJ, Kwak MS, Cho CW, Kim S, Ahn KS, Park SK, Cha JM, Park DI

Background/Aims: Risk prediction models using a deep neural network (DNN) have not been reported to predict the risk of advanced colorectal neoplasia (ACRN). The aim of this study was to...
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Prediction of Pathologic Response to Neoadjuvant Chemoradiotherapy in Patients with Esophageal Squamous Cell Carcinoma Incorporating Hematological Biomarkers

Wu Y, Chen J, Zhao L, Li Q, Zhu J, Yang H, Guo S, Xi M

Purpose This study aimed to develop a nomogram for predicting pathologic complete response (pCR) after neoadjuvant chemoradiotherapy (CRT) in patients with esophageal squamous cell carcinoma (ESCC) by integrating hematological biomarkers...
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