Development of a Machine Learning Based Web Application for Early Diagnosis of COVID-19 Based on Symptoms

Development of a Machine Learning Based Web Application for Early Diagnosis of COVID-19 Based on Symptoms

Detecting the presence of a disease requires laboratory tests, testing kits, and devices; however, these were not always available on hand. This study proposes a new approach in disease detection using machine learning algorithms by analyzing symptoms experienced by a person without requiring labora...

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Bibliographic Details
Main Authors: Charlyn Nayve Villavicencio, Julio Jerison Macrohon, Xavier Alphonse Inbaraj, Jyh-Horng Jeng, Jer-Guang Hsieh
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Diagnostics
Subjects:
COVID-19
COVID-19 symptoms
disease detection
machine learning algorithms
hyperparameter optimization
cross-validation
Online Access:https://www.mdpi.com/2075-4418/12/4/821

Internet

https://www.mdpi.com/2075-4418/12/4/821

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