Feeding intolerance as a predictor of clinical outcomes in critically ill patients: a machine learning approach

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@article{f8c2b0089044448ea1aae49cb9ce0ccd,

title = "Feeding intolerance as a predictor of clinical outcomes in critically ill patients: a machine learning approach",

author = "O. Raphaeli and C. Hajaj and I. Bendavid and A. Goldstein and E. Chen and P. Singer",

year = "2021",

month = dec,

doi = "10.1016/j.clnesp.2021.09.020",

language = "English",

volume = "46",

pages = "S546--S547",

journal = "Clinical Nutrition ESPEN",

issn = "2405-4577",

publisher = "Elsevier Ltd.",

}

TY - JOUR

T1 - Feeding intolerance as a predictor of clinical outcomes in critically ill patients: a machine learning approach

AU - Raphaeli, O.

AU - Hajaj, C.

AU - Bendavid, I.

AU - Goldstein, A.

AU - Chen, E.

AU - Singer, P.

PY - 2021/12

Y1 - 2021/12

UR - https://www.mendeley.com/catalogue/4307b63b-9577-3641-83e5-5eb223599a11/

U2 - 10.1016/j.clnesp.2021.09.020

DO - 10.1016/j.clnesp.2021.09.020

M3 - Article

SN - 2405-4577

VL - 46

SP - S546-S547

JO - Clinical Nutrition ESPEN

JF - Clinical Nutrition ESPEN

ER -