Application of machine learning methods on SARS-Cov-2: Mortality prediction by using health and nutritional factors and prediction of recurrent mutations

Tesis doctorals> Departament de Bioquímica i Biotecnologia

Application of machine learning methods on SARS-Cov-2: Mortality prediction by using health and nutritional factors and prediction of recurrent mutations

Identification data

Identifier: TDX:4416

Handle: https://hdl.handle.net/20.500.11797/TDX4416

Authors:
Saldivar Espinoza, Bryan Percy
Others:

Date: 2024-05-20 2024-06-05T10:55:14Z 2024-06-05T10:55:14Z
Departament/Institute: Departament de Bioquímica i Biotecnologia Universitat Rovira i Virgili.
Language: eng
Identifier: http://hdl.handle.net/10803/691362
Source: TDX (Tesis Doctorals en Xarxa)
Author: Saldivar Espinoza, Bryan Percy
Director: Cereto Massagué, Adrián José Garcia Vallve, Santiago Pujadas Anguiano, Gerard
Format: application/pdf 176 p.
Publisher: Universitat Rovira i Virgili
Keywords: mutations Machine learning mutaciones Aprendizaje automático mutacions Aprenentatge automàtic SARS-CoV-2
Title: Application of machine learning methods on SARS-Cov-2: Mortality prediction by using health and nutritional factors and prediction of recurrent mutations
Subject: 578 577 004 Ciències de la Salut mutations Machine learning mutaciones Aprendizaje automático mutacions Aprenentatge automàtic SARS-CoV-2

Keywords:

578
577
004
Ciències de la Salut
mutations
Machine learning
mutaciones
Aprendizaje automático
mutacions
Aprenentatge automàtic
SARS-CoV-2
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