Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rasheedat A Sadiq-Onilenla"'
Autor:
Ahmed Umar Otokiti, Makuochukwu Maryann Ozoude, Karmen S Williams, Rasheedat A Sadiq-onilenla, Soji Akin Ojo, Leyla B Wasarme, Samantha Walsh, Maxwell Edomwande
Publikováno v:
JMIR Research Protocols, Vol 12, p e37685 (2023)
BackgroundWith an increase in the number of artificial intelligence (AI) and machine learning (ML) algorithms available for clinical settings, appropriate model updating and implementation of updates are imperative to ensure applicability, reproducib
Externí odkaz:
https://doaj.org/article/b714afeac3e843478d02be5e28773dd7
Autor:
Emeka Okobi, Aisha O Adigun, Oyintoun-emi Ozobokeme, Omotola Emmanuel, Precious A Akinsanya, Omolola Okunromade, Okelue E Okobi, Henry O Aiwuyo, Anthony I Dick, Rasheedat A Sadiq-Onilenla, Foluke A Ogunlana
Publikováno v:
Cureus.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7436433e601a5d9656a96c6803e17b0b
https://doi.org/10.7759/cureus.38417
https://doi.org/10.7759/cureus.38417
Autor:
Ahmed Umar Otokiti, Makuochukwu Maryann Ozoude, Karmen S Williams, Rasheedat A Sadiq-onilenla, Soji Akin Ojo, Leyla B Wasarme, Samantha Walsh, Maxwell Edomwande
BACKGROUND With an increase in the number of artificial intelligence (AI) and machine learning (ML) algorithms available for clinical settings, appropriate model updating and implementation of updates are imperative to ensure applicability, reproduci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a958f6b244613aa34b4ea7ef1647eb5d
https://doi.org/10.2196/preprints.37685
https://doi.org/10.2196/preprints.37685
