Selecting the most important self-assessed features for predicting conversion to mild cognitive impairment with random forest and permutation-based methods
Crossref DOI link: https://doi.org/10.1038/s41598-020-77296-4
Published Online: 2020-11-26
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Gómez-Ramírez, Jaime
Ávila-Villanueva, Marina
Fernández-Blázquez, Miguel Ángel
Text and Data Mining valid from 2020-11-26
Version of Record valid from 2020-11-26
Article History
Received: 13 December 2019
Accepted: 9 November 2020
First Online: 26 November 2020
Competing of interests
: The authors declare no competing interests.