Cargando…
Prediction of death status on the course of treatment in SARS-COV-2 patients with deep learning and machine learning methods
BACKGROUND AND OBJECTIVE: The new type of Coronavirus (2019-nCov) epidemic spread rapidly, causing more than 250 thousand deaths worldwide. The virus, which first appeared as a sign of pneumonia, was later called the SARS-COV-2 with Severe Acute Respiratory Syndrome by the World Health Organization....
Autores principales: | Kivrak, Mehmet, Guldogan, Emek, Colak, Cemil |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7826038/ https://www.ncbi.nlm.nih.gov/pubmed/33513487 http://dx.doi.org/10.1016/j.cmpb.2021.105951 |
Ejemplares similares
-
The role of physical activity on mental health and quality of life during COVID-19 outbreak: A cross-sectional study
por: Ozdemir, Filiz, et al.
Publicado: (2020) -
Machine Learning-based Prediction of HBV-related Hepatocellular Carcinoma and Detection of Key Candidate Biomarkers
por: KUCUKAKCALI, Zeynep, et al.
Publicado: (2022) -
Value of fecal calprotectin in prediction of acute appendicitis based on a proposed model of machine learning
por: Küçükakçali, Zeynep, et al.
Publicado: (2023) -
Predicting Duodenal Cancer Risk in Patients with Familial Adenomatous Polyposis Using Machine Learning Model
por: Akbulut, Sami, et al.
Publicado: (2023) -
Prediction of Perforated and Nonperforated Acute Appendicitis Using Machine Learning-Based Explainable Artificial Intelligence
por: Akbulut, Sami, et al.
Publicado: (2023)