Cargando…
Prediction of in-hospital adverse clinical outcomes in patients with pulmonary thromboembolism, machine learning based models
BACKGROUND: Pulmonary thromboembolism (PE) is the third leading cause of cardiovascular events. The conventional modeling methods and severity risk scores lack multiple laboratories, paraclinical and imaging data. Data science and machine learning (ML) based prediction models may help better predict...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10043172/ https://www.ncbi.nlm.nih.gov/pubmed/36998977 http://dx.doi.org/10.3389/fcvm.2023.1087702 |