COVID19: A Natural Language Processing and Ontology Oriented Temporal Case-Based Framework for Early Detection and Diagnosis of Novel Coronavirus

Olaide Nathaniel Oyelade; Absalom E. Ezugwu

doi:10.20944/preprints202005.0171.v1

Preprint

Article

COVID19: A Natural Language Processing and Ontology Oriented Temporal Case-Based Framework for Early Detection and Diagnosis of Novel Coronavirus

This version is not peer-reviewed.

Olaide Nathaniel Oyelade^*,

Absalom E. Ezugwu^*

Olaide Nathaniel Oyelade^*,

Absalom E. Ezugwu^*

This version is not peer-reviewed.

Altmetrics

Downloads

2168

Views

1038

Comments

Submitted:

09 May 2020

Posted:

10 May 2020

Read the latest preprint version here

Abstract

Keywords:

Subject:

Computer Science and Mathematics - Artificial Intelligence and Machine Learning

This preprints belongs to the Collection

Preprints on COVID-19 and SARS-CoV-2

Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.

Alerts

MDPI Initiatives

Important Links

Choose an area of interest and we will send you notifications of new preprints at your preferred frequency.

Disclaimer

COVID19: A Natural Language Processing and Ontology Oriented Temporal Case-Based Framework for Early Detection and Diagnosis of Novel Coronavirus

Abstract

Keywords:

Subject:

MDPI Initiatives

Important Links

Subscribe