Biomedical literature retrieval

Information on protein-protein interactions affected by mutations is very useful for understanding the biological effect of mutations and for developing treatments targeting the interactions. In this study, we developed a natural language processing (NLP) based machine learning approach for extracting such information from literature.

10p vijeeni2711 30-06-2021 8 1   Download

A popular query from scientists reading a biomedical abstract is to search for topic-related documents in bibliographic databases. Such a query is challenging because the amount of information attached to a single abstract is little, whereas classification-based retrieval algorithms are optimally trained with large sets of relevant documents.

12p viwyoming2711 16-12-2020 13 1   Download

The proliferation of the scientific literature in the field of biomedicine makes it difficult to keep abreast of current knowledge, even for domain experts. While general Web search engines and specialized information retrieval (IR) systems have made important strides in recent decades, the problem of accurate knowledge extraction from the biomedical literature is far from solved.

14p vikentucky2711 26-11-2020 14 1   Download

The rapid pace of bioscience research makes it very challenging to track relevant articles in one’s area of interest. MEDLINE, a primary source for biomedical literature, offers access to more than 20 million citations with three-quarters of a million new ones added each year.

11p vikentucky2711 24-11-2020 10 1   Download

Identification of associations between marketed drugs and adverse events from the biomedical literature assists drug safety monitoring efforts. Assessing the significance of such literature-derived associations and determining the granularity at which they should be captured remains a challenge.

17p vioklahoma2711 19-11-2020 16 1   Download

Biomedical literature retrieval is becoming increasingly complex, and there is a fundamental need for advanced information retrieval systems. Information Retrieval (IR) programs scour unstructured materials such as text documents in large reserves of data that are usually stored on computers.

12p vioklahoma2711 19-11-2020 15 2   Download

The biomedical literature continues to grow at a rapid pace, making the challenge of knowledge retrieval and extraction ever greater. Tools that provide a means to search and mine the full text of literature thus represent an important way by which the efficiency of these processes can be improved.

16p viconnecticut2711 28-10-2020 9 1   Download

In this paper, we demonstrate three NLP applications of the BioLexicon, which is a lexical resource tailored to the biology domain. The applications consist of a dictionary-based POS tagger, a syntactic parser, and query processing for biomedical information retrieval. Biological terminology is a major barrier to the accurate processing of literature within biology domain. In order to address this problem, we have constructed the BioLexicon using both manual and semiautomatic methods. We demonstrate the utility of the biology-oriented lexicon within three separate NLP applications. ...

4p bunthai_1 06-05-2013 48 3   Download

Content-Based Image Retrieval (CBIR) technology has been proposed to benefit not only the management of increasingly large medical image collections, but also to aid clinical care, biomedical research, and education. Based on a literature review, we conclude that there is widespread enthusiasm for CBIR in the engineering research community, but the application of this technology to solve practical medical problems is a goal yet to be realized.

473p hotmoingay 03-01-2013 31 3   Download