Work

An Explainable AI Data Pipeline for Multi-Level Survival Prediction of Breast Cancer Patients Using Electronic Medical Records and Social Determinants of Health Data

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10825044

Authors: Soheil Hashtarkhani, Shelley White-Means, Sam Li, Rezaur Rashid, Fekede Kumsa, Cindy Lemon, Lluvia Chipman, Jill Dapremont, Brianna White, Arash Shaban-Nejad

Institutions: University of Tennessee Health Science Center, University of Memphis

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Reduced inequalities, Good health and well-being

Open Access status: closed

Funder: National Institute on Minority Health and Health Disparities

OpenAlex ID: W4406460399

FWCI: 1.178

Cites: 14

Cited by: 4

Related to: 10