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

• DOI: 10.2196/49411
• Publication Date: 2024-03-05T14:15:25Z
• Authors: Alaa Abd-alrazaq; Abdulqadir J Nashwan; Zubair Shah; Ahmad Abujaber; Dari Alhuwail; Jens Schneider; Rawan AlSaad; Hazrat Ali; Waleed Alomoush; Arfan Ahmed; Sarah Aziz
• Keywords: Relevance; Scientific literature

Research gaps refer to unanswered questions in the existing body of knowledge, either due a lack studies or inconclusive results. are essential starting points and motivation scientific research. Traditional methods for identifying research gaps, such as literature reviews expert opinions, can be time consuming, labor intensive, prone bias. They may also fall short when dealing with rapidly evolving time-sensitive subjects. Thus, innovative scalable approaches needed identify systematically assess literature, prioritize areas further study topic interest.