Application of machine learning-based phenotyping in individualized fluid management in critically ill patients with heart failure

Chengjian Guan; Bing Xiao

doi:10.1002/ctd2.70020

Clinical and Translational Discovery ›› 2024, Vol. 4 ›› Issue (6) : e70020 DOI: 10.1002/ctd2.70020

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Application of machine learning-based phenotyping in individualized fluid management in critically ill patients with heart failure

Chengjian Guan
, Bing Xiao ^†

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Chengjian Guan, Bing Xiao. Application of machine learning-based phenotyping in individualized fluid management in critically ill patients with heart failure. Clinical and Translational Discovery, 2024, 4(6): e70020 DOI:10.1002/ctd2.70020

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References

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[1]	VincentJL. Fluid management in the critically ill. Kidney Int. 2019;96(1):52-57.

[2]	De BackerD, Aissaoui N, CecconiM, et al. How can assessing hemodynamics help to assess volume status? Intensive Care Med. 2022;48(10):1482-1494.

[3]	BamanJR, AhmadFS. Heart failure. JAMA. 2020;324(10):1015.

[4]	Colin-RamirezE, ArcandJ, SaldarriagaC, et al. The current state of evidence for sodium and fluid restriction in heart failure. Prog Cardiovasc Dis. 2024;82:43-54.

[5]	MullensW, DammanK, DhontS, et al. Dietary sodium and fluid intake in heart failure. A clinical consensus statement of the Heart Failure Association of the ESC. Eur J Heart Fail. 2024;26(4):730-741.

[6]	GuanC, GongA, ZhaoY, et al. Unsupervised learning-derived phenotypes for personalized fluid management in critically ill patients with heart failure: A multicenter study. Clin Transl Med. 2024;14(11):e70081.

[7]	JiJ, PangW, ZhouC, et al. A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data. Knowl Based Syst. 2012;30:129-135.

[8]	KeilAP, Edwards JK, RichardsonDB, et al. The parametric g-formula for time-to-event data: intuition and a worked example. Epidemiology. 2014;25(6):889-897.

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2024 The Author(s). Clinical and Translational Discovery published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.