BibTex format
@article{Seccia:2020:10.1371/journal.pone.0230219,
author = {Seccia, R and Gammelli, D and Dominici, F and Romano, S and Landi, AC and Salvetti, M and Tacchella, A and Zaccaria, A and Crisanti, A and Grassi, F and Palagi, L},
doi = {10.1371/journal.pone.0230219},
journal = {PLOS ONE},
title = {Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis},
url = {http://dx.doi.org/10.1371/journal.pone.0230219},
volume = {15},
year = {2020}
}
RIS format (EndNote, RefMan)
TY - JOUR
AU - Seccia,R
AU - Gammelli,D
AU - Dominici,F
AU - Romano,S
AU - Landi,AC
AU - Salvetti,M
AU - Tacchella,A
AU - Zaccaria,A
AU - Crisanti,A
AU - Grassi,F
AU - Palagi,L
DO - 10.1371/journal.pone.0230219
PY - 2020///
SN - 1932-6203
TI - Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis
T2 - PLOS ONE
UR - http://dx.doi.org/10.1371/journal.pone.0230219
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000535303100021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 15
ER -