Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study

Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study

<h3>Background</h3><p dir="ltr">Research gaps refer to unanswered questions in the existing body of knowledge, either due to a lack of studies or inconclusive results. Research gaps are essential starting points and motivation in scientific research. Traditional methods f...

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Bibliographic Details
Main Author: Alaa Abd-alrazaq (17058018) (author)
Other Authors: Abdulqadir J Nashwan (17991280) (author), Zubair Shah (231886) (author), Ahmad Abujaber (9100064) (author), Dari Alhuwail (6497858) (author), Jens Schneider (16885948) (author), Rawan AlSaad (14159019) (author), Hazrat Ali (421019) (author), Waleed Alomoush (19325926) (author), Arfan Ahmed (17541309) (author), Sarah Aziz (17541312) (author)
Published: 2024
Subjects:
Health sciences
Epidemiology
Public health
Information and computing sciences
Machine learning
research gap
research topic
research topics
scientific literature
literature review
machine learning
COVID-19
BERTopic
topic clustering
text analysis
BERT
NLP
natural language processing
review methods
review methodology
SARS-CoV-2
coronavirus
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