Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation-Reference-Cited by-同舟云学术

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Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation

Published:2024-02 Issue:2 Volume:5 Page:100913
ISSN:2666-3899
Container-title:Patterns
language:en
Short-container-title:Patterns

Author:

Rajendran Suraj^ORCID,Pan Weishen,Sabuncu Mert R.,Chen Yong,Zhou Jiayu,Wang Fei^ORCID

Publisher

Elsevier BV

Reference152 articles.

1. Machine Learning in Medicine;Deo;Circulation,2015

2. Machine learning in medicine: Addressing ethical challenges;Vayena;PLoS Med.,2018

3. Machine Learning (ML) in Medicine: Review, Applications, and Challenges;Rahmani;Math,2021

4. Advances and Open Problems in Federated Learning;Kairouz;FNT. in Machine Learning,2021

5. Federated Machine Learning;Yang;ACM Trans. Intell. Syst. Technol.,2019

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1. Artificial Intelligence and Machine Learning in Predicting the Response to Immunotherapy in Non-small Cell Lung Carcinoma: A Systematic Review;Cureus;2024-05-28

2. Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework;Journal of the American Medical Informatics Association;2024-05-07

3. Primary Care Informatics: Vitalizing the Bedrock of Healthcare (Preprint);Journal of Medical Internet Research;2024-04-30

4. Primary Care Informatics: Vitalizing the Bedrock of Healthcare (Preprint);2024-04-30

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