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Mining the contribution of intensive care clinical course to outcome after traumatic brain injury
Deeper IMPACT: Ordinal Models for Outcome Prediction After Traumatic Brain Injury
TILTomorrow today: dynamic factors predicting changes in intracranial pressure treatment intensity after traumatic brain injury
The Therapy Intensity Level scale for traumatic brain injury: clinimetric assessment on neuro-monitored patients across 52 European intensive care units
TimeSHAP explains Recurrent Neural Network predictions.
A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.
The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence
Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.
package for dimensionality reduction under supervised data scenarios
Novel Coronavirus (COVID-19) Global Case Tracker