Open AccessExplainable AI toward understanding the performance of the top three TADPOLE Challenge methods in the forecast of Alzheimer’s disease diagnosis
Author(s) -
Mónica Hernández,
Ubaldo Ramon-Julvez,
Francisco Ferraz
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0264695
Subject(s) - interpretability , random forest , machine learning , disease , computer science , tadpole (physics) , artificial intelligence , gradient boosting , identification (biology) , decision tree , boosting (machine learning) , feature (linguistics) , cognitive psychology , medicine , psychology , biology , pathology , linguistics , philosophy , physics , botany , particle physics
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom