E-LIB Suche - Ergebnisse für: Soltan, Andrew A S

1

Mitigating machine learning bias between high income and lo..:

Yang, Jenny ; Clifton, Lei ; Dung, Nguyen Thanh...
Scientific Reports. 14 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

2

A scalable federated learning solution for secondary care u..:

Soltan, Andrew A S ; Thakur, Anshul ; Yang, Jenny...
The Lancet Digital Health. 6 (2024) 2 - p. e93-e104 , 2024

Link: https://doi.org/10.1016/..

3

Addressing label noise for electronic health records: insig..:

Yang, Jenny ; Triendl, Hagen ; Soltan, Andrew A. S...
BMC Medical Informatics and Decision Making. 24 (2024) 1 - p. , 2024

Link: https://doi.org/10.1186/..

4

Deep reinforcement learning for multi-class imbalanced trai..:

Yang, Jenny ; El-Bouri, Rasheed ; O'Donoghue, Odhran...
Machine Learning. 113 (2023) 5 - p. 2655-2674 , 2023

Link: https://doi.org/10.1007/..

5

An adversarial training framework for mitigating algorithmi..:

Yang, Jenny ; Soltan, Andrew A. S. ; Eyre, David W...
npj Digital Medicine. 6 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

6

Algorithmic fairness and bias mitigation for clinical machi..:

Yang, Jenny ; Soltan, Andrew A. S. ; Eyre, David W..
Nature Machine Intelligence. 5 (2023) 8 - p. 884-894 , 2023

Link: https://doi.org/10.1038/..

7

Real-world evaluation of rapid and laboratory-free COVID-19..:

Soltan, Andrew A S ; Yang, Jenny ; Pattanshetty, Ravi...
The Lancet Digital Health. 4 (2022) 4 - p. e266-e278 , 2022

Link: https://doi.org/10.1016/..

8

Machine learning generalizability across healthcare setting..:

Yang, Jenny ; Soltan, Andrew A. S. ; Clifton, David A.
npj Digital Medicine. 5 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

9

Rapid triage for COVID-19 using routine clinical data for p..:

Soltan, Andrew A S ; Kouchaki, Samaneh ; Zhu, Tingting...
The Lancet Digital Health. 3 (2021) 2 - p. e78-e87 , 2021

Link: https://doi.org/10.1016/..

10

Algorithmic fairness and bias mitigation for clinical machi..:

Yang, Jenny ; Soltan, Andrew A. S ; Eyre, David W.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442224/. , 2023

Link: http://www.ncbi.nlm.nih...

11

An adversarial training framework for mitigating algorithmi..:

Yang, Jenny ; Soltan, Andrew A. S ; Eyre, David W..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050816/. , 2023

Link: http://www.ncbi.nlm.nih...

12

Deep Reinforcement Learning for Multi-class Imbalanced Trai..:

Yang, Jenny ; El-Bouri, Rasheed ; O'Donoghue, Odhran...
http://arxiv.org/abs/2205.12070. , 2022

Link: http://arxiv.org/abs/220..

13

Machine learning generalizability across healthcare setting..:

Yang, Jenny ; Soltan, Andrew A. S ; Clifton, David A
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174159/. , 2022

Link: http://www.ncbi.nlm.nih...

14

An adversarial training framework for mitigating algorithmi..:

Jenny Yang ; Andrew A. S. Soltan ; David W. Eyre..
https://doi.org/10.1038/s41746-023-00805-y. , 2023

Link: https://doi.org/10.1038/..

15

Machine learning generalizability across healthcare setting..:

Jenny Yang ; Andrew A. S. Soltan ; David A. Clifton
https://doi.org/10.1038/s41746-022-00614-9. , 2022

Link: https://doi.org/10.1038/..