Thomas Desautels

发表

Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization

Andreas Krause, Joel W. Burdick, Thomas Desautels, 2012, ICML.

Spinal Cord Injury Therapy through Active Learning

Thomas Desautels, 2014 .

Rapid in silico design of antibodies targeting SARS-CoV-2 using machine learning and supercomputing

A. Zemla, Thomas Desautels, D. Faissol, 2020, bioRxiv.

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

Uli K. Chettipally, D. Wales, Thomas Desautels, 2016, JMIR medical informatics.

Pediatric Severe Sepsis Prediction Using Machine Learning

Thomas Desautels, J. Calvert, C. Barton, 2017, bioRxiv.

Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach

Ari Ercole, David J Wales, Ritankar Das, 2017, BMJ Open.

SARS-COV-2 Omicron variant predicted to exhibit higher affinity to ACE-2 receptor and lower affinity to a large range of neutralizing antibodies, using a rapid computational platform

A. Zemla, Thomas Desautels, D. Faissol, 2021, bioRxiv.

High-performance detection and early prediction of septic shock for alcohol-use disorder patients

Hamid Mohamadlou, Uli K. Chettipally, Ritankar Das, 2016, Annals of medicine and surgery.

Using electronic health record collected clinical variables to predict medical intensive care unit mortality

Hamid Mohamadlou, Uli K. Chettipally, Ritankar Das, 2016, Annals of medicine and surgery.

Prediction of early unplanned intensive care

D. Wales, Thomas Desautels, A. Ercole, 2017 .

Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting

Yaniv Kerem, Ritankar Das, Grant Fletcher, 2017, Biomedical informatics insights.