Bioinformatics | Biomedical Informatics | Molecular Biology Temporal Protein Complex Identification Based on Dynamic Heterogeneous Protein Information Network Representation Learning. January 8, 2024
Biomedical Informatics | Drug design | Pharmaceutical Sciences RediscMol: Benchmarking Molecular Generation Models in Biological Properties. January 5, 2024
Biomedical Informatics | Clinical Decision Support Graph-guided deep hashing networks for similar patient retrieval. December 29, 2023
Biomedical Informatics | Electronic Health Records (EHR) | Natural Language Processing EHR-HGCN: An Enhanced Hybrid Approach for Text Classification Using Heterogeneous Graph Convolutional Networks in Electronic Health Records. December 22, 2023
Biomedical Informatics | Pharmacology MOPDDI: Predicting Drug-Drug Interaction Events Based on Multimodal Mutual Orthogonal Projection and Intermodal Consistency Loss. December 18, 2023
Biomedical Informatics | Machine Learning Improved support vector machine classification for imbalanced medical datasets by novel hybrid sampling combining modified mega-trend-diffusion and bagging extreme learning machine model. December 5, 2023
Biomedical Informatics | Genomics | Oncology Cancer Diagnosis through Contour Visualization of Gene Expression Leveraging Deep Learning Techniques. November 24, 2023
Biomedical Informatics | Pharmacology Deep learning-enabled natural language processing to identify directional pharmacokinetic drug-drug interactions. November 2, 2023
Biomedical Informatics | Natural Language Processing Tell me your position: Distantly supervised biomedical entity relation extraction using entity position marker. October 14, 2023
Bioinformatics | Biomedical Informatics | Computational Biology STAMarker: determining spatial domain-specific variable genes with saliency maps in deep learning. October 9, 2023
Biomedical Informatics | Immunology | Oncology A Self-Attention-Based Neural Network for Predicting Immune Checkpoint Inhibitors Response. October 3, 2023
Biomedical Informatics | Diabetology | Machine Learning An effective correlation-based data modeling framework for automatic diabetes prediction using machine and deep learning techniques. October 2, 2023