mortality prediction

ClinStructor: AI-Powered Structuring of Unstructured Clinical Texts IJCNLP 2025 Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval ICLR 2025 A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024 Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records COLING 2024 Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML ICLR 2024 Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract) IJCAI 2023 Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention MLHC 2023 Privacy-preserving patient clustering for personalized federated learnings MLHC 2023 Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance MLHC 2023 MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images MLHC 2022 Optimizing Early Warning Classifiers to Control False Alarms via a Minimum Precision Constraint AISTATS 2022 Unified Auto Clinical Scoring (Uni-ACS) with Interpretable ML models MLHC 2022 Continuous-Time Attention for Sequential Learning AAAI 2021 Hierarchical Information Criterion for Variable Abstraction MLHC 2021 Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China AAAI 2021 Characterizing the Value of Information in Medical Notes EMNLP 2020 Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention MLHC 2020 Explainable Clinical Decision Support from Text EMNLP 2020 Transforming Underwriting in the Life Insurance Industry AAAI 2019 Using Clinical Notes with Time Series Data for ICU Management EMNLP 2019 Distilled Wasserstein Learning for Word Embedding and Topic Modeling NeurIPS 2018 Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization IJCAI 2018 Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks MLHC 2018 Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization MLHC 2016