An AI-enabled research support tool for the classification system of COVID-19

Title

An AI-enabled research support tool for the classification system of COVID-19

Creator

Tiwari A.; Bhattacharjee K.; Pant M.; Srivastava S.; Snasel V.

Description

The outbreak of COVID-19, a little more than 2 years ago, drastically affected all segments of society throughout the world. While at one end, the microbiologists, virologists, and medical practitioners were trying to find the cure for the infection; the Governments were laying emphasis on precautionary measures like lockdowns to lower the spread of the virus. This pandemic is perhaps also the first one of its kind in history that has research articles in all possible areas as like: medicine, sociology, psychology, supply chain management, mathematical modeling, etc. A lot of work is still continuing in this area, which is very important also for better preparedness if such a situation arises in future. The objective of the present study is to build a research support tool that will help the researchers swiftly identify the relevant literature on a specific field or topic regarding COVID-19 through a hierarchical classification system. The three main tasks done during this study are data preparation, data annotation and text data classification through bi-directional long short-term memory (bi-LSTM). Copyright 2023 Tiwari, Bhattacharjee, Pant, Srivastava and Snasel.

Source

Frontiers in Public Health, Vol-11

Date

2023-01-01

Publisher

Frontiers Media S.A.

Subject

Artificial Intelligence; bi-directional LSTM; classification; COVID-19; long short-term memory

Coverage

Tiwari A., Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India; Bhattacharjee K., Machine Intelligence in Medicine and Imaging (MI-2) Lab, Mayo Clinic, Phoenix, AZ, United States; Pant M., Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India, Mehta Family School for Data Science and Artificial Intelligence, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, India; Srivastava S., CHRIST (Deemed to be University) Delhi NCR, Ghaziabad, India; Snasel V., Department of Computer Science, VB-Technical University of Ostrava, Ostrava, Czech Republic

Rights

All Open Access; Gold Open Access; Green Open Access

Relation

ISSN: 22962565; PubMed ID: 36935722

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.3389/fpubh.2023.1124998

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150412927&doi=10.3389%2ffpubh.2023.1124998&partnerID=40&md5=370dd930f2cec5ca466ebede35b44a5f