Work

Abstract 1096: Estimating risk factors and predicting various cancer types using integrated real-world data: An AI-based approach

Year: 2025

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2025-1096

Authors: Md Ashad Alam, Nick Duesbery, Daniel Fort

Institution: Ochsner Health System

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: W4409689902

Cites:

Cited by:

Related to: 10