Browsing by Keyword : Machine Learning

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:
  • Sort by:
  • In order:
  • Results/Page
  • Authors/Record:

Showing results 34 to 59 of 59

Pub YearTitleAJOU Author(s)
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
2024Machine learning-driven prediction of brain metastasis in lung adenocarcinoma using miRNA profile and target gene pathway analysis of an mRNA dataset고영화, 이현우, 한재호, 함석진
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
2024Multimodal Model for Predicting Fetal Acidosis in Delivery Room김미란, 염선형, 장혜진, 조은애, 황경주
2024Neuroimaging and natural language processing-based classification of suicidal thoughts in major depressive disorder박래웅, 박범희, 손상준
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
2024SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model featuresBasith, Shaherin, 이광
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
1

Browse