The amount of biomedical literature is vast and growing quickly, and accurate text mining
techniques could help researchers to efficiently extract useful information from the literature …

Multi-label classification algorithms based on supervised learning use all the labeled data to
train classifiers. However, in real life, many of the data are unlabeled, and it is costly to label …

Objectives Question answering (QA) systems have the potential to improve the quality of
clinical care by providing health professionals with the latest and most relevant evidence …

Deciphering information of RNA sequences reveals their diverse roles in living organisms,
including gene regulation and protein synthesis. Aberrations in RNA sequence such as …

Effective software defect prediction (SDP) is important for software quality assurance.
Numerous advanced SDP methods have been proposed recently. However, how to …

Exponential growth of electronic data requires advanced multi-label classification
approaches for the development of natural language processing (NLP) applications such as …

The field of text mining which deals with the providing of answers to the questions of the
users is also one of the hot topics for researchers. The difficulty seen in the proper …

The widespread growth of internet services has led to a substantial increase in traffic across
multifarious online applications such as shop**, transportation, e-commerce, and banking …

Biomedical question answering (QA) represents a growing concern among industry and
academia due to the crucial impact of biomedical information. When map** and ranking …

Background In medical education, enhancing thinking skills is vital. The Virtual Diagnosis
and Treatment Platform (VP) refines medical students' diagnostic abilities through interactive …