MACHINE LEARNING PIPELINE FOR BRAIN TISSUE DAMAGE PREDICTION IN TBI

Metadata

Title: MACHINE LEARNING PIPELINE FOR BRAIN TISSUE DAMAGE PREDICTION IN TBI
Category: undergraduate
UUID: 513277ec347545a5a14bc1633edff4e0

Source URL: https://jerugroup.eng.ox.ac.uk/software/machine-learning-pipeline-for-brain-tiss...
Parent URL: https://jerugroup.eng.ox.ac.uk/software
Crawl Time: 2026-03-09T03:25:14+00:00

# MACHINE LEARNING PIPELINE FOR BRAIN TISSUE DAMAGE PREDICTION IN TBI

**Source**: https://jerugroup.eng.ox.ac.uk/software/machine-learning-pipeline-for-brain-tissue-damage-prediction-in-tbi
**Parent**: https://jerugroup.eng.ox.ac.uk/software

# MACHINE LEARNING PIPELINE FOR BRAIN TISSUE DAMAGE PREDICTION IN TBI

This package provides a process to calibrate and evaluate a model to predict simulated damage to the brain’s resting state networks (RSN) for a given set of impact conditions.

#### [**Download Link**](https://process.innovation.ox.ac.uk/software/p/18490/machine-learning-pipeline-for-brain-tissue-damage-prediction-in-tbi/1)

#### **Relevant publications**

- A. Schroder, T. Lawrence, N. Voets, D. Garcia-Gonzalez, M. Jones, J.-M. Peña and A. Jérusalem. *A machine learning enhanced mechanistic simulation framework for functional deficit prediction in TBI.* **Frontiers in Bioengineering and Biotechnology, 9:587082, 2021. [DOI:10.3389/fbioe.2021.587082](https://doi.org/10.3389/fbioe.2021.587082)**