Why the grass isn't always greener on the machine learning side

^*Corresponding author for this work

Research output: Contribution to journal › Editorial › Academic › peer-review

Original language	English
Pages (from-to)	36-37
Number of pages	2
Journal	European Journal of Internal Medicine
Volume	118
DOIs	https://doi.org/10.1016/j.ejim.2023.10.005
Publication status	Published - Dec 2023

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title = "Why the grass isn't always greener on the machine learning side",

author = "{de Hond}, Anne and Menno Huisman and {Van Smeden}, Maarten",

year = "2023",

month = dec,

doi = "10.1016/j.ejim.2023.10.005",

language = "English",

volume = "118",

pages = "36--37",

journal = "European Journal of Internal Medicine",

issn = "0953-6205",

publisher = "Elsevier",

}

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T1 - Why the grass isn't always greener on the machine learning side

AU - de Hond, Anne

AU - Huisman, Menno

AU - Van Smeden, Maarten

PY - 2023/12

Y1 - 2023/12

UR - http://www.scopus.com/inward/record.url?scp=85174829804&partnerID=8YFLogxK

U2 - 10.1016/j.ejim.2023.10.005

DO - 10.1016/j.ejim.2023.10.005

M3 - Editorial

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AN - SCOPUS:85174829804

SN - 0953-6205

VL - 118

SP - 36

EP - 37

JO - European Journal of Internal Medicine

JF - European Journal of Internal Medicine

ER -