Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms

Titus A.P. de Hond; Michael S.A. Niemantsverdriet; Wouter W. van Solinge; Jan Jelrik Oosterheert; Saskia Haitjema; Karin A.H. Kaasjager

doi:10.1016/j.cmi.2022.03.029

Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms

Titus A.P. de Hond^*, Michael S.A. Niemantsverdriet, Wouter W. van Solinge, Jan Jelrik Oosterheert, Saskia Haitjema, Karin A.H. Kaasjager

^*Corresponding author for this work

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

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Original language	English
Pages (from-to)	1170-1171
Number of pages	2
Journal	Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
Volume	28
Issue number	8
Early online date	29 Mar 2022
DOIs	https://doi.org/10.1016/j.cmi.2022.03.029
Publication status	Published - Aug 2022

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10.1016/j.cmi.2022.03.029Licence: CC BY

1-s2.0-S1198743X22001689-mainFinal published version, 186 KBLicence: CC BY

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de Hond, T. A. P., Niemantsverdriet, M. S. A., van Solinge, W. W., Oosterheert, J. J., Haitjema, S., & Kaasjager, K. A. H. (2022). Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms. Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 28(8), 1170-1171. https://doi.org/10.1016/j.cmi.2022.03.029

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title = "Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms",

author = "{de Hond}, {Titus A.P.} and Niemantsverdriet, {Michael S.A.} and {van Solinge}, {Wouter W.} and Oosterheert, {Jan Jelrik} and Saskia Haitjema and Kaasjager, {Karin A.H.}",

note = "Funding Information: MSAN is supported by a PhD fellowship from SkylineDx, Rotterdam; and SH is supported by a fellowship from Abbott Diagnostics. This research received no external funding. ",

year = "2022",

month = aug,

doi = "10.1016/j.cmi.2022.03.029",

language = "English",

volume = "28",

pages = "1170--1171",

journal = "Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases",

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de Hond, TAP, Niemantsverdriet, MSA, van Solinge, WW , Oosterheert, JJ , Haitjema, S & Kaasjager, KAH 2022, 'Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms', Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, vol. 28, no. 8, pp. 1170-1171. https://doi.org/10.1016/j.cmi.2022.03.029

Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms. / de Hond, Titus A.P.; Niemantsverdriet, Michael S.A.; van Solinge, Wouter W. et al.
In: Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, Vol. 28, No. 8, 08.2022, p. 1170-1171.

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

TY - JOUR

T1 - Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms

AU - de Hond, Titus A.P.

AU - Niemantsverdriet, Michael S.A.

AU - van Solinge, Wouter W.

AU - Oosterheert, Jan Jelrik

AU - Haitjema, Saskia

AU - Kaasjager, Karin A.H.

N1 - Funding Information: MSAN is supported by a PhD fellowship from SkylineDx, Rotterdam; and SH is supported by a fellowship from Abbott Diagnostics. This research received no external funding.

PY - 2022/8

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U2 - 10.1016/j.cmi.2022.03.029

DO - 10.1016/j.cmi.2022.03.029

M3 - Comment/Letter to the editor

C2 - 35364274

SN - 1198-743X

VL - 28

SP - 1170

EP - 1171

JO - Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases

JF - Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases

IS - 8

ER -

de Hond TAP, Niemantsverdriet MSA, van Solinge WW , Oosterheert JJ , Haitjema S , Kaasjager KAH. Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms. Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases. 2022 Aug;28(8):1170-1171. Epub 2022 Mar 29. doi: 10.1016/j.cmi.2022.03.029

Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms

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