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

Neurological Injury Motion Sensing (NIMS) Project

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) Cases, provided by JHU CSSE

Novel Coronavirus (COVID-19) Global Case Tracker