Search Results for author:
Found 8 papers, 3 papers with code
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data
The recent success of machine learning methods applied to time series collected from Intensive Care Units (ICU) exposes the lack of standardized machine learning benchmarks for developing and comparing such methods.
Ranked #1 on
Remaining Length of Stay
on HiRID
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Intensive care units (ICU) are increasingly looking towards machine learning for methods to provide online monitoring of critically ill patients.
Temporal Label Smoothing for Early Event Prediction
TLS reduces the number of missed events by up to a factor of two over previously used approaches in early event prediction.
Ranked #1 on
Respiratory Failure
on HiRID
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data
Understanding deep learning model behavior is critical to accepting machine learning-based decision support systems in the medical community.
Improving Neural Additive Models with Bayesian Principles
Neural additive models (NAMs) enhance the transparency of deep neural networks by handling input features in separate additive sub-networks.
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
A prominent challenge of offline reinforcement learning (RL) is the issue of hidden confounding: unobserved variables may influence both the actions taken by the agent and the observed outcomes.
On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series
Recent findings in deep learning for tabular data are now surpassing these classical methods by better handling the severe heterogeneity of data input features.
Dynamic Survival Analysis for Early Event Prediction
This study advances Early Event Prediction (EEP) in healthcare through Dynamic Survival Analysis (DSA), offering a novel approach by integrating risk localization into alarm policies to enhance clinical event metrics.
