A machine learning algorithm for peripheral artery disease prognosis using biomarker data

A machine learning algorithm for peripheral artery disease prognosis using biomarker data

Summary: Peripheral artery disease (PAD) biomarkers have been studied in isolation; however, an algorithm that considers a protein panel to inform PAD prognosis may improve predictive accuracy. Biomarker-based prediction models were developed and evaluated using a model development (n = 270) and pro...

Full description

Bibliographic Details
Main Authors: Ben Li, Farah Shaikh, Abdelrahman Zamzam, Muzammil H. Syed, Rawand Abdin, Mohammad Qadura
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:iScience
Subjects:
Artificial intelligence
Cardiovascular medicine
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S258900422400302X

Internet

http://www.sciencedirect.com/science/article/pii/S258900422400302X

Similar Items