Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening

por Yang, Jenny, Soltan, Andrew A. S., Clifton, David A.
Publicado 2022

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning

por Yang, Jenny, Soltan, Andrew A. S., Eyre, David W., Clifton, David A.
Publicado 2023

An adversarial training framework for mitigating algorithmic biases in clinical machine learning

por Yang, Jenny, Soltan, Andrew A. S., Eyre, David W., Yang, Yang, Clifton, David A.
Publicado 2023

Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test

por Soltan, Andrew A S, Kouchaki, Samaneh, Zhu, Tingting, Kiyasseh, Dani, Taylor, Thomas, Hussain, Zaamin B, Peto, Tim, Brent, Andrew J, Eyre, David W, Clifton, David A
Publicado 2021

Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening

por Soltan, Andrew A S, Yang, Jenny, Pattanshetty, Ravi, Novak, Alex, Yang, Yang, Rohanian, Omid, Beer, Sally, Soltan, Marina A, Thickett, David R, Fairhead, Rory, Zhu, Tingting, Eyre, David W, Clifton, David A
Publicado 2022