Cargando…
Prognosis of COVID‐19 patients using lab tests: A data mining approach
BACKGROUND: The rapid prevalence of coronavirus disease 2019 (COVID‐19) has caused a pandemic worldwide and affected the lives of millions. The potential fatality of the disease has led to global public health concerns. Apart from clinical practice, artificial intelligence (AI) has provided a new mo...
Autores principales: | Khounraz, Fariba, Khodadoost, Mahmood, Gholamzadeh, Saeid, Pourhamidi, Rashed, Baniasadi, Tayebeh, Jafarbigloo, Aida, Mohammadi, Gohar, Ahmadi, Mahnaz, Ayyoubzadeh, Seyed Mohammad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826741/ https://www.ncbi.nlm.nih.gov/pubmed/36628109 http://dx.doi.org/10.1002/hsr2.1049 |
Ejemplares similares
-
Challenges and Practical Considerations in Applying Virtual Reality in Medical Education and Treatment
por: Baniasadi, Tayebeh, et al.
Publicado: (2020) -
Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study
por: Ayyoubzadeh, Seyed Mohammad, et al.
Publicado: (2020) -
Baseline Characteristics and Associated Factors of Mortality in COVID-19 Patients; an Analysis of 16000 Cases in Tehran, Iran
por: Zali, Alireza, et al.
Publicado: (2020) -
Mortality among hospitalized COVID-19 patients during surges of SARS-CoV-2 alpha (B.1.1.7) and delta (B.1.617.2) variants
por: Zali, Alireza, et al.
Publicado: (2022) -
Mobile Health Technology and Healthcare Providers: Systemic Barriers to Adoption
por: Zakerabasali, Somayyeh, et al.
Publicado: (2021)