Artificial Intelligence Universal Biomarker Prediction Tool

Overview

Journal J Thromb Thrombolysis

Specialty Cardiology & Vascular Diseases

Date 2023 Dec 20

PMID 38117437

Authors

Yoshiyasu Takefuji

Affiliations

Soon will be listed here.

Abstract

Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker prediction tool was developed to help patients understand improvement in the trends of their disease. PyPI tool handles two biomarkers, hbA1c for diabetes and NP-proBNP for heart failure, to predict the next hospital visit. Predicting improvement in disease is a great hope for patients.

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