Work

Use of Deep Learning to Identify Peripheral Arterial Disease Cases From Narrative Clinical Notes

Year: 2024

Type: article

Source: Journal of Surgical Research

DOI: 10.1016/j.jss.2024.09.062

Authors: Shantanu Dev, Andrew Zolensky, Hanaa Dakour Aridi, Catherine Kelty, Mackenzie K. Madison, Anush Motaganahalli, Benjamin S. Brooke, Brian Dixon, Malaz Boustani, Zina Ben Miled, Ping Zhang, Andrew A. Gonzalez

Institutions: Regenstrief Institute, The Ohio State University, University of Pennsylvania, Indiana University Indianapolis, Indiana University School of Medicine, University of Utah, Lamar University, Indiana University – Purdue University Indianapolis

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

Funders: Doris Duke Charitable Foundation, Ralph W. and Grace M. Showalter Research Trust Fund, National Academies of Sciences, Engineering, and Medicine, Agency for Healthcare Research and Quality

Award: G1303487128

OpenAlex ID: W4403706238

FWCI: 0.442

Cites: 43

Cited by: 3

Related to: 10