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Showing results 12 to 50 of 50

Pub YearTitleAuthor(s)
2009Basic Concepts and Principles of Data Mining in Clinical Practice박래웅
2017Cascade recurring deep networks for audible range prediction정연훈, 추옥성
2022Cerebrospinal Fluid Metabolome in Parkinson’s Disease and Multiple System Atrophy신태환, 이광
2022Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2Balachandran, Manavalan, Basith, Shaherin, 이광
2023Development of Clinical Information Extraction Model from Unstructured Clinical Reports using Natural Language Processing박지명
2021Effectiveness of transfer learning for deep learning-based electrocardiogram analysis윤덕용
2022Effects of RETN polymorphisms on treatment response in rheumatoid arthritis patients receiving TNF-α inhibitors and utilization of machine-learning algorithms김현아, 정주양
2020Empirical comparison and analysis of web-based cell-penetrating peptide prediction toolsBalachandran, Manavalan
2016Evaluation of Underlying Lymphocytic Thyroiditis With Histogram Analysis Using Grayscale Ultrasound Images하은주
2020Evolution of Machine Learning Algorithms in the Prediction and Design of Anticancer PeptidesBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광, 이다연
2021Factors to improve distress and fatigue in Cancer survivorship; further understanding through text analysis of interviews by machine learning김지나, 안미선, 전미선
2023Feasibility Study of Federated Learning on the Distributed Research Network of OMOP Common Data Model박래웅
2020HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representationBalachandran, Manavalan, Basith, Shaherin, 이광
2020i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genomeBalachandran, Manavalan
2020i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representationBalachandran, Manavalan
2021Integrative machine learning framework for the identification of cell-specific enhancers from the human genomeBalachandran, Manavalan, Basith, Shaherin, 이광
2019Iterative feature representations improve N4-methylcytosine site predictionBalachandran, Manavalan
2018Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation최소연
2020Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study최소연
2018Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signals박래웅, 윤덕용, 최영
2022Machine Learning Model for Classifying the Results of Fetal Cardiotocography Conducted in High-Risk Pregnancies김미란, 장혜진
2023Machine learning-based prediction model for postoperative delirium in non-cardiac surgery김하연, 박래웅
2021Machine-learning model to predict the cause of death using a stacking ensemble method for observational data박래웅, 정재연
2018Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved AccuracyBalachandran, Manavalan, 신태환, 이광
2019mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representationBalachandran, Manavalan, Basith, Shaherin, 신태환, 이광
2021Meta-i6mA: An interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning frameworkBalachandran, Manavalan, Basith, Shaherin, 이광
2021MicroRNA signatures associated with lymph node metastasis in intramucosal gastric cancer김석휘, 배원정, 이다근
2021NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learningBalachandran, Manavalan
2021New approach of prediction of recurrence in thyroid cancer patients using machine learning김수영
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
2023Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study박래웅, 손상준
2022Recent Trends on the Development of Machine Learning Approaches for the Prediction of Lysine Acetylation SitesBasith, Shaherin, 이광, 장혜진
2021StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptidesBalachandran, Manavalan
2022STALLION: A stacking-based ensemble learning framework for prokaryotic lysine acetylation site predictionBalachandran, Manavalan, Basith, Shaherin, 이광
2022The Bio-signal based Model to Predict the Occurrence of Delirium in Intensive Care Unit(ICU)김형준
2022THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine SitesBasith, Shaherin, 이광
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
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