2020 | | Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
2022 | | Machine Learning Model for Classifying the Results of Fetal Cardiotocography Conducted in High-Risk Pregnancies | 김미란, 장혜진 |
2021 | | Machine-learning model to predict the cause of death using a stacking ensemble method for observational data | 박래웅, 정재연 |
2018 | | Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy | Balachandran, Manavalan, 신태환, 이광 |
2021 | | NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning | Balachandran, Manavalan |
2018 | | PIP-EL: A New Ensemble Learning Method for Improved Proinflammatory Peptide Predictions | Balachandran, Manavalan, 이광 |
2024 | | Predicting the Outcome of Pediatric Oral Food Challenges for Determining Tolerance Development | 정경욱 |
2022 | | Prediction Model for 30-Day Mortality after Non-Cardiac Surgery Using Machine-Learning Techniques Based on Preoperative Evaluation of Electronic Medical Records | 김하연, 박래웅 |
2023 | | Prediction model for postoperative atrial fibrillation in non-cardiac surgery using machine learning | 김하연 |
2024 | | Prediction Models for Readmission Using Home Healthcare Notes and OMOP-CDM | 박래웅 |
2020 | | Prediction of Major Depressive Disorder Following Beta-Blocker Therapy in Patients with Cardiovascular Diseases | 박래웅, 손상준, 진우람 |
2018 | | PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine | Balachandran, Manavalan, 이광 |
2019 | | SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome | Balachandran, Manavalan, Basith, Shaherin, 신태환, 이광 |
2021 | | StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides | Balachandran, Manavalan |
2022 | | STALLION: A stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction | Balachandran, Manavalan, Basith, Shaherin, 이광 |
2022 | | THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites | Basith, Shaherin, 이광 |
2024 | | Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study | 박래웅 |
2024 | | Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using the OHDSI network | 박래웅 |