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pro vyhledávání: '"Isaac R. L. Xu"'
Autor:
Isaac R. L. Xu, Derek J. Van Booven, Sankalp Goberdhan, Adrian Breto, Joao Porto, Mohammad Alhusseini, Ahmad Algohary, Radka Stoyanova, Sanoj Punnen, Anton Mahne, Himanshu Arora
Publikováno v:
Journal of Personalized Medicine; Volume 13; Issue 3; Pages: 547
The recent integration of open-source data with machine learning models, especially in the medical field, has opened new doors to studying disease progression and/or regression. However, the ability to use medical data for machine learning approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a26db9e8b3ef6f8a903ddfc964ffe30
Autor:
Isaac R. L. Xu, Derek J Van Booven, Sankalp Goberdhan, Adrian L. Breto, Mohammad Alhusseini, Ahmad Algohary, Radka Stoyanova, Sanoj Punnen, Anton Mahne, Himanshu Arora
PurposeRecent integration of open-source data to machine learning models, especially in the medical field, has opened new doors to study disease progression and/or regression. However, the limitation of using medical data for machine learning approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0901089317bd9a1e5518da18805195e2
https://doi.org/10.1101/2022.06.16.496437
https://doi.org/10.1101/2022.06.16.496437
