Cargando…
Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer
To realize a machine learning (ML) model to estimate the dose of low molecular weight heparin to be administered, preventing thromboembolism events in COVID-19 patients with active cancer. Methods: We used a dataset comprising 131 patients with active cancer and COVID-19. We considered five ML model...
Autores principales: | Imbalzano, Egidio, Orlando, Luana, Sciacqua, Angela, Nato, Giuseppe, Dentali, Francesco, Nassisi, Veronica, Russo, Vincenzo, Camporese, Giuseppe, Bagnato, Gianluca, Cicero, Arrigo F. G., Dattilo, Giuseppe, Vatrano, Marco, Versace, Antonio Giovanni, Squadrito, Giovanni, Di Micco, Pierpaolo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746167/ https://www.ncbi.nlm.nih.gov/pubmed/35011959 http://dx.doi.org/10.3390/jcm11010219 |
Ejemplares similares
-
Sex-Specific Impact of Different Obesity/Metabolic Phenotypes on Long-Term Cardiovascular Outcomes in Acute Coronary Syndrome Patients
por: Imbalzano, Egidio, et al.
Publicado: (2022) -
Natural Course of COVID-19 and Independent Predictors of Mortality
por: Orlando, Luana, et al.
Publicado: (2023) -
Prevalence of Pulmonary Hypertension in an Unselected Community-Based Population: A Retrospective Echocardiographic Study—RES-PH Study
por: Imbalzano, Egidio, et al.
Publicado: (2021) -
Heparin and SARS-CoV-2: Multiple Pathophysiological Links
por: Di Micco, Pierpaolo, et al.
Publicado: (2021) -
Special Issue “COVID-19 and Thrombosis”
por: Di Micco, Pierpaolo, et al.
Publicado: (2022)