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MLHC 2023 Q&A with Ben Marlin & Doina Precup

MLHC 2023 - Doina Precup - Reinforcement Learning for Therapeutics

ID 171: A case study on deep learning label leakage identified during a silent trial

ID 159: A machine learning model using in-game data for predicting unhealthy substance use among...

ID 14: Identifying Time Trajectories in Risk Factors Documented in Clinical Notes and Predicting...

ID 76: Improving the Quality of NEWS by Learning from the Past

ID 79: Examining The Ability of Different ML Approaches to Predict Health Outcomes with Digital H...

ID 86: A Counterfactual-based Approach for Interpreting Deep Learning Models in Electrocardiogram...

ID 105: Using Natural Language Processing on drug indications to predict working sources of infec...

ID 72: Evaluating the Quality of Salvaged Blood Products Using Stimulated Raman Spectroscopy and...

ID 191: CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data

ID 189: When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing...

ID 197: Generating more faithful and consistent SOAP notes

ID 160: Anomaly Detection in Human Brain via Inductive Learning on Temporal Multiplex Networks

ID 150: A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization

ID 166: DuETT: Dual Event Time Transformer for Electronic Health Records

ID 103: Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for

ID 93: A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design

ID 116: Hawkes Process with Flexible Triggering Kernels

ID 124: Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs

ID 29: Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a...

ID 39: EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships

ID 34: Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language...

ID 13: Coarse race data conceals disparities in clinical risk score performance