Biomedical research yields vast information, much of which is only accessible through the
literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent …

Objectives A major obstacle in deployment of models for automated quality assessment is
their reliability. To analyze their calibration and selective classification performance. Study …

This study addresses the gap in machine learning tools for positive results classification by
evaluating the performance of SciBERT, a transformer model pretrained on scientific text …

Synthesizing clinical evidence largely relies on systematic reviews of clinical trials and
retrospective analyses from medical literature. However, the rapid expansion of publications …

Biomedical Systematic Literature Reviews (SLRs) play a fundamental role in evidence-
informed healthcare and can serve as actionable insights for researchers and policy-making …

Ulcerative colitis (UC) is a gastrointestinal disease with an unknown etiology that severely
affects patients' quality of life. Acupuncture and moxibustion therapies are effective in the …

Automatically rating the quality of published research is a critical step in medical evidence
synthesis. While several methods have been proposed, their algorithmic fairness has been …

The aim of this research is to analyze personality prediction from resumes using XG-boost
algorithm and comparison with the novel Random forest model to increase the accuracy …

The field of educational technology (EdTech) has witnessed a substantial increase in
evidence synthesis efforts, particularly in response to the COVID-19 pandemic and the rapid …

Objective: A major obstacle in deployment of models for automated quality assessment is
their reliability. To analyse their calibration and selective classification performance. Study …