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Abstract WP312: Identifying Acute Ischemic Stroke by Analyzing Icd-10 Claims Data Using Machine Learning Models

Year: 2017

Type: conference-abstract

Source: Stroke

DOI: 10.1161/str.48.suppl_1.wp312

Authors: Charles Esenwa, Jorge Luna, Benjamin Kummer, Hojjat Salmasian, David Vawdrey, Hooman Kamel, Mitchell Elkind

Institutions: Columbia University Irving Medical Center, Columbia University, Weill Cornell Medicine, Weill Cornell Medical Center

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2779476356

Cites:

Cited by: 1

Related to: 10