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Editorial
. 2022 Oct 28;1(4):100129.
doi: 10.1016/j.jacadv.2022.100129. eCollection 2022 Oct.

Untangling Heterogeneity in Cardiogenic Shock

Patrick R Lawler, Candice K Silversides
Editorial

Untangling Heterogeneity in Cardiogenic Shock

Patrick R Lawler et al. JACC Adv. .
No abstract available

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References

    1. Toma A., Diller G.P., Lawler P.R. Deep learning in medicine. JACC: Adv. 2022;1(1)
    1. Zweck E., Thayer K.L., Helgestad O.K.L., et al. Phenotyping cardiogenic shock. J Am Heart Assoc. 2021;10 - PMC - PubMed
    1. Kosyakovsky L.B., Somerset E., Rogers A.J., et al. Machine learning approaches to the human metabolome in sepsis identify metabolic links with survival. Intensive Care Med Exp. 2022;10(1):24. doi: 10.1186/s40635-022-00445-8. - DOI - PMC - PubMed
    1. Jentzer J.C., Rayfield C., Soussi S., et al. Advances in the staging and phenotyping of cardiogenic shock: part 1 of 2. JACC Adv. 2022;1(4)
    1. Jentzer J.C., Rayfield C., Soussi S., et al. Machine learning approaches for phenotyping in cardiogenic shock and critical illness: part 2 of 2. JACC Adv. 2022;1(4)

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