New JBI policy emphasizes clinically-meaningful novel machine learning methods

Research output: Contribution to journal › Editorial

Original language	English
Article number	104003
Journal	Journal of Biomedical Informatics
Volume	127
DOIs	https://doi.org/10.1016/j.jbi.2022.104003
State	Published - Mar 2022

ASJC Scopus subject areas

@article{4ca6b5e07de94d30bf0f19a873f584b2,

title = "New JBI policy emphasizes clinically-meaningful novel machine learning methods",

author = "Allan Tucker and Thomas Kannampallil and Fodeh, \{Samah Jarad\} and Mor Peleg",

year = "2022",

month = mar,

doi = "10.1016/j.jbi.2022.104003",

language = "English",

volume = "127",

journal = "Journal of Biomedical Informatics",

issn = "1532-0464",

publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - New JBI policy emphasizes clinically-meaningful novel machine learning methods

AU - Tucker, Allan

AU - Kannampallil, Thomas

AU - Fodeh, Samah Jarad

AU - Peleg, Mor

PY - 2022/3

Y1 - 2022/3

UR - https://www.scopus.com/pages/publications/85123702265

U2 - 10.1016/j.jbi.2022.104003

DO - 10.1016/j.jbi.2022.104003

M3 - Editorial

C2 - 35085812

AN - SCOPUS:85123702265

SN - 1532-0464

VL - 127

JO - Journal of Biomedical Informatics

JF - Journal of Biomedical Informatics

M1 - 104003

ER -