Artificial intelligence universal biomarker prediction tool.
J Thromb Thrombolysis
; 57(2): 341-343, 2024 Feb.
Article
em En
| MEDLINE
| ID: mdl-38117437
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.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Insuficiência Cardíaca
Limite:
Humans
Idioma:
En
Revista:
J Thromb Thrombolysis
Assunto da revista:
ANGIOLOGIA
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Japão