Decoding Clinical Biomarker Space of COVID-19: Exploring Matrix Factorization-based Feature Selection Methods

Mostrar otras versiones (1)

One of the most critical challenges in managing complex diseases like COVID-19 is to establish an intelligent triage system that can optimize the clinical decision-making at the time of a global pandemic. The clinical presentation and patients’ characteristics are usually utilized to identify those...

Descripción completa

Detalles Bibliográficos
Autores principales: Saberi-Movahed, Farshad, Mohammadifard, Mahyar, Mehrpooya, Adel, Rezaei-Ravari, Mohammad, Berahmand, Kamal, Rostami, Mehrdad, Karami, Saeed, Najafzadeh, Mohammad, Hajinezhad, Davood, Jamshidi, Mina, Abedi, Farshid, Mohammadifard, Mahtab, Farbod, Elnaz, Safavi, Farinaz, Dorvash, Mohammadreza, Vahedi, Shahrzad, Eftekhari, Mahdi, Saberi-Movahed, Farid, Tavassoly, Iman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282111/
https://www.ncbi.nlm.nih.gov/pubmed/34268522
http://dx.doi.org/10.1101/2021.07.07.21259699

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282111/
https://www.ncbi.nlm.nih.gov/pubmed/34268522
http://dx.doi.org/10.1101/2021.07.07.21259699

Ejemplares similares