A survey of current work in biomedical text mining
The volume of published biomedical research, and therefore the underlying biomedical
knowledge base, is expanding at an increasing rate. Among the tools that can aid …
knowledge base, is expanding at an increasing rate. Among the tools that can aid …
Status of text-mining techniques applied to biomedical text
RAA Erhardt, R Schneider, C Blaschke - Drug discovery today, 2006 - Elsevier
Scientific progress is increasingly based on knowledge and information. Knowledge is now
recognized as the driver of productivity and economic growth, leading to a new focus on the …
recognized as the driver of productivity and economic growth, leading to a new focus on the …
Dynamic network reconstruction from gene expression data applied to immune response during bacterial infection
R Guthke, U Möller, M Hoffmann, F Thies… - …, 2005 - academic.oup.com
Motivation: The immune response to bacterial infection represents a complex network of
dynamic gene and protein interactions. We present an optimized reverse engineering …
dynamic gene and protein interactions. We present an optimized reverse engineering …
[HTML][HTML] Extracting interactions between proteins from the literature
During the last decade, biomedicine has witnessed a tremendous development. Large
amounts of experimental and computational biomedical data have been generated along …
amounts of experimental and computational biomedical data have been generated along …
CoPub Mapper: mining MEDLINE based on search term co-publication
BTF Alako, A Veldhoven, S van Baal, R Jelier… - BMC …, 2005 - Springer
Background High throughput microarray analyses result in many differentially expressed
genes that are potentially responsible for the biological process of interest. In order to …
genes that are potentially responsible for the biological process of interest. In order to …
Message logging in mobile computing
B Yao, KF Ssu, WK Fuchs - Digest of Papers. Twenty-Ninth …, 1999 - ieeexplore.ieee.org
Dependable mobile computing is enhanced by independent recovery, low power
consumption and no dependence on stable storage at the mobile host. Existing recovery …
consumption and no dependence on stable storage at the mobile host. Existing recovery …
Quantitative assessment of dictionary-based protein named entity tagging
Objective: Natural language processing (NLP) approaches have been explored to manage
and mine information recorded in biological literature. A critical step for biological literature …
and mine information recorded in biological literature. A critical step for biological literature …
Disease causality extraction based on lexical semantics and document-clause frequency from biomedical literature
D Lee, H Shin - BMC medical informatics and decision making, 2017 - Springer
Background Recently, research on human disease network has succeeded and has
become an aid in figuring out the relationship between various diseases. In most disease …
become an aid in figuring out the relationship between various diseases. In most disease …
[HTML][HTML] Clinical information behavior of rehabilitation therapists: a review of the research on occupational therapists, physical therapists, and speech-language …
LA Kloda, JC Bartlett - Journal of the Medical Library Association …, 2009 - ncbi.nlm.nih.gov
Objectives: The review sought to synthesize existing research relevant to rehabilitation
therapists' clinical information behavior and to identify gaps in evidence, particularly in …
therapists' clinical information behavior and to identify gaps in evidence, particularly in …
[PDF][PDF] Intex: A syntactic role driven protein-protein interaction extractor for bio-medical text
In this paper, we present a fully automated extraction system, named IntEx, to identify gene
and protein interactions in biomedical text. Our approach is based on first splitting complex …
and protein interactions in biomedical text. Our approach is based on first splitting complex …