DeepAI AI Chat
Log In Sign Up

Learning for Biomedical Information Extraction: Methodological Review of Recent Advances

by   Feifan Liu, et al.

Biomedical information extraction (BioIE) is important to many applications, including clinical decision support, integrative biology, and pharmacovigilance, and therefore it has been an active research. Unlike existing reviews covering a holistic view on BioIE, this review focuses on mainly recent advances in learning based approaches, by systematically summarizing them into different aspects of methodological development. In addition, we dive into open information extraction and deep learning, two emerging and influential techniques and envision next generation of BioIE.


page 1

page 2

page 3

page 4


Development of Clinical Concept Extraction Applications: A Methodology Review

Our study provided a review of the development of clinical concept extra...

A Survey on Biomedical Text Summarization with Pre-trained Language Model

The exponential growth of biomedical texts such as biomedical literature...

Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges

The deep learning, which is a dominating technique in artificial intelli...

A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances

The deluge of digital information in our daily life – from user-generate...

Recent Advances in Imaging Around Corners

Seeing around corners, also known as non-line-of-sight (NLOS) imaging is...

On recent advances in 2D Constrained Delaunay triangulation algorithms

In this article, recent works on 2D Constrained Delaunay triangulation(C...