COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model

Sergio Ortiz; Juan Carlos Morales; Fernando Rojas; Olga Valenzuela; Luis Javier Herrera; Ignacio Rojas

doi:10.1007/978-3-031-07704-3_36

ScienceGate Book Chapters

BOOK-CHAPTER

COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model

Sergio Ortiz Juan Carlos Morales Fernando Rojas Olga Valenzuela Luis Javier Herrera Ignacio Rojas

Year: 2022 Lecture notes in computer science Pages: 442-452 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-07704-3_36

Get Full-Text PDF Get Analytical Report

Keywords:

Coronavirus disease 2019 (COVID-19) Artificial intelligence Pneumonia Computer science Machine learning Disease Stage (stratigraphy) Histogram Deep learning Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Pattern recognition (psychology) Medicine Pathology Infectious disease (medical specialty) Internal medicine

Metrics

Cited By

0.53

FWCI (Field Weighted Citation Impact)

Refs

0.62

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Digital Imaging for Blood Diseases

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model

Metrics

Citation History

Topics

Related Documents

Deep learning based classification of COVID-19 severity using hierarchical deep maxout model

COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal

Covid-19 Classification and Detection Model using Deep Learning

Covid-19 Severity Classification Using Supervised Learning Approach

Deep Learning Models For Classification of Covid-19 Severity Levels