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Abstract Sun507: Artificial Intelligence Driven Subphenotyping of In-Hospital Cardiac Arrest Patients Identifies Subgroups with Different Outcomes and Risk Factors: A Nation-Wide Analysis

Year: 2025

Type: conference-abstract

Source: Circulation

DOI: 10.1161/circ.152.suppl_3.sun507

Authors: Joy Jiang, Wonsuk Oh, David Buckler, Hannah Kittrell, Pushkala Jayaraman, Lili Chan, Akhil Vaid, Faris Gulamali, Michael Redlener, alexis zebrowski, Deepak Bhatt, Girish Nadkarni, Ethan Abbott

Institution: Icahn School of Medicine at Mount Sinai

Language: English

Topic: Cardiac Arrest and Resuscitation

Subfield: Emergency Medicine

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: closed

OpenAlex ID: W4415789592

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