59 citations · 71 across the 7 of their papers we have counts for
6 papers · 1 filter
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025
Emily Alsentzer, Marie-Laure Charpignon, Bill Chen +90
The 6th Annual Conference on Health, Inference, and Learning (CHIL 2025), hosted by the Association for Health Learning and Inference (AHLI), was held in person on June 25-27, 2025…
Bridging Graph and State-Space Modeling for Intensive Care Unit Length of Stay Prediction
Shuqi Zi, Haitz Sáez de Ocáriz Borde, Emma Rocheteau +1
Predicting a patient's length of stay (LOS) in the intensive care unit (ICU) is a critical task for hospital resource management, yet remains challenging due to the heterogeneous a…
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021
Fabian Falck, Yuyin Zhou, Emma Rocheteau +7
A collection of the accepted abstracts for the Machine Learning for Health (ML4H) symposium 2021. This index is not complete, as some accepted abstracts chose to opt-out of inclusi…
Predicting Patient Outcomes with Graph Representation Learning
Emma Rocheteau, Catherine Tong, Petar Veličković +2
Recent work on predicting patient outcomes in the Intensive Care Unit (ICU) has focused heavily on the physiological time series data, largely ignoring sparse data such as diagnose…
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit
Emma Rocheteau, Pietro Liò, Stephanie Hyland
The pressure of ever-increasing patient demand and budget restrictions make hospital bed management a daily challenge for clinical staff. Most critical is the efficient allocation…
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
Emma Rocheteau, Pietro Liò, Stephanie Hyland
The pressure of ever-increasing patient demand and budget restrictions make hospital bed management a daily challenge for clinical staff. Most critical is the efficient allocation…