{"total":29,"rows":[{"id":"2102.01998","title":"Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond","created":"2021-02-03","cited_by_count":76,"area":null},{"id":"2111.08585","title":"CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks","created":"2021-11-10","cited_by_count":76,"area":null},{"id":"2108.13461","title":"Time Series Prediction using Deep Learning Methods in Healthcare","created":"2021-08-30","cited_by_count":74,"area":null},{"id":"2107.02975","title":"Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review","created":"2021-07-07","cited_by_count":35,"area":null},{"id":"2107.09951","title":"Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies","created":"2021-07-21","cited_by_count":34,"area":null},{"id":"2304.04780","title":"A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?","created":"2023-04-10","cited_by_count":24,"area":null},{"id":"2204.04797","title":"Multi-Label Clinical Time-Series Generation via Conditional GAN","created":"2022-04-10","cited_by_count":16,"area":null},{"id":"2403.11894","title":"From Explainable to Interpretable Deep Learning for Natural Language Processing in Healthcare: How Far from Reality?","created":"2024-03-18","cited_by_count":11,"area":null},{"id":"2405.09039","title":"SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction","created":"2024-05-15","cited_by_count":8,"area":null},{"id":"2103.05612","title":"Challenges for Reinforcement Learning in Healthcare","created":"2021-03-09","cited_by_count":7,"area":null},{"id":"2312.03742","title":"Clinical Risk Prediction Using Language Models: Benefits And Considerations","created":"2023-11-29","cited_by_count":6,"area":null},{"id":"2112.12705","title":"Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review","created":"2021-12-23","cited_by_count":5,"area":null},{"id":"2207.01873","title":"ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations","created":"2022-07-05","cited_by_count":5,"area":null},{"id":"2105.09428","title":"Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder","created":"2021-05-19","cited_by_count":4,"area":null},{"id":"2111.06152","title":"Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes","created":"2021-11-11","cited_by_count":4,"area":null},{"id":"2103.00482","title":"Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data","created":"2021-02-24","cited_by_count":3,"area":null},{"id":"2104.01787","title":"Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning","created":"2021-04-05","cited_by_count":3,"area":null},{"id":"2110.04598","title":"Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction","created":"2021-10-09","cited_by_count":2,"area":null},{"id":"2109.07583","title":"Network representation learning systematic review: ancestors and current development state","created":"2021-09-14","cited_by_count":1,"area":null},{"id":"2112.07239","title":"Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks","created":"2021-12-14","cited_by_count":1,"area":null},{"id":"2207.11382","title":"Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data","created":"2022-07-23","cited_by_count":1,"area":null},{"id":"2308.11013","title":"Personalized Event Prediction for Electronic Health Records","created":"2023-08-21","cited_by_count":1,"area":null},{"id":"2507.21899","title":"LLM-based Content Classification Approach for GitHub Repositories by the README Files","created":"2025-07-29","cited_by_count":1,"area":null},{"id":"2104.14229","title":"A Study into patient similarity through representation learning from medical records","created":"2021-04-29","cited_by_count":0,"area":null},{"id":"2303.06002","title":"Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation?","created":"2023-03-10","cited_by_count":0,"area":null},{"id":"2308.14216","title":"Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications","created":"2023-08-27","cited_by_count":0,"area":null},{"id":"2401.16537","title":"Efficient Observation Time Window Segmentation for Administrative Data Machine Learning","created":"2024-01-29","cited_by_count":0,"area":null},{"id":"2407.11096","title":"Static and multivariate-temporal attentive fusion transformer for readmission risk prediction","created":"2024-07-15","cited_by_count":0,"area":null},{"id":"2502.04899","title":"Towards Unified Approaches in Self-Supervised Event Stream Modeling: Progress and Prospects","created":"2025-02-07","cited_by_count":0,"area":null}],"next_cursor":null}