Invariant Risk Minimisation for Cross-Organism Inference:Substituting Mouse Data for Human Data in Human Risk Factor Discovery

This is a preprint and may not have undergone formal peer review

O'Donoghue, Odhran, Duckworth, Paul, Ughi, Giuseppe et al. (10 more authors) (2021) Invariant Risk Minimisation for Cross-Organism Inference:Substituting Mouse Data for Human Data in Human Risk Factor Discovery. [Preprint]

Abstract

Metadata

Item Type: Preprint
Authors/Creators:
  • O'Donoghue, Odhran
  • Duckworth, Paul
  • Ughi, Giuseppe
  • Scheibenreif, Linus
  • Khezeli, Kia
  • Hoarfrost, Adrienne
  • Budd, Samuel
  • Foley, Patrick
  • Chia, Nicholas
  • Kalantari, John
  • Mackintosh, Graham
  • Soboczenski, Frank ORCID logo https://orcid.org/0000-0001-8185-6094
  • Sanders, Lauren
Copyright, Publisher and Additional Information:

Machine Learning for Health (ML4H) - Extended Abstract

Keywords: cs.LG,cs.CR
Dates:
  • Published: 14 November 2021
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 24 Mar 2025 17:30
Last Modified: 24 Mar 2025 17:30
Status: Published
Open Archives Initiative ID (OAI ID):

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Filename: 2111.07348v2.pdf

Description: 2111.07348v2

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