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Showing results 57 to 73 of 73

Pub YearTitleAuthor(s)
2021Predicting speech discrimination scores from pure-tone thresholds—A machine learning-based approach using data from 12,697 subjects김한태, 장정훈, 정연훈
2019Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data문소영
2019Prediction of S-nitrosylation sites by integrating support vector machines and random forestBalachandran, Manavalan
2023Prediction of the number of asthma patients using environmental factors based on deep learning algorithms박해심, 장재혁
2012Prioritization of SNPs for genome-wide association studies using an interaction model of genetic variation, gene expression, and trait variation백효정
2023Prognostic artificial intelligence model to predict 5 year survival at 1 year after gastric cancer surgery based on nutrition and body morphometry한상욱, 허지미, 허훈
2021Right bundle branch block–type wide QRS complex tachycardia with a reversed R/S complex in lead V6: Development and validation of electrocardiographic differentiation criteria이광노
2021StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptidesBalachandran, Manavalan
2017Standard-based comprehensive detection of adverse drug reaction signals from nursing statements and laboratory results in electronic health records박래웅, 윤덕용
2020SWATH-MS analysis of cerebrospinal fluid to generate a robust battery of biomarkers for Alzheimer's disease박범희, 박선아
2017The effect of continuous positive airway pressure on cardiopulmonary coupling김현준
2012The importance of morphometric radiographic vertebral assessment for the detection of patients who need pharmacological treatment of osteoporosis among postmenopausal diabetic Korean women정윤석, 최용준
2016Trabecular Bone Score (TBS) and TBS-Adjusted Fracture Risk Assessment Tool are Potential Supplementary Tools for the Discrimination of Morphometric Vertebral Fractures in Postmenopausal Women With Type 2 Diabetes정윤석, 최용준
2023Translation of Machine Learning-Based Prediction Algorithms to Personalised Empiric Antibiotic Selection: A Population-Based Cohort Study박래웅, 최영화
2021Umpred-frl: A new approach for accurate prediction of umami peptides using feature representation learningBalachandran, Manavalan
2006Underlying mechanism for NMDA receptor antagonism by the anti-inflammatory drug, sulfasalazine, in mouse cortical neurons.곽병주
2021Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder임홍석
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