Sentence examples for mining of clinical from inspiring English sources
Data mining of clinical data has been well studied since the emergence of the field.
SM and WL contributed to the mining of clinical databases and infrastructure for text mining focused on mTOR.
Electronic health records; surveillance; pandemic influenza We describe the development of a web based application PyConTextKit to support text mining of clinical reports for public health surveillance.
The Extended Syndromic Surveillance Ontology (ESSO) is an open source terminological ontology designed to facilitate the text mining of clinical reports in English (1, 2).
Examples of computational approaches to drug repurposing include side effect-based approaches, in which similarity between drug effects is used to suggest drug targets and drug indications (Campillos et al., 2008), data mining of clinical records (Tatonetti et al., 2012) and approaches based on analysis of GWAS data (Sanseau et al., 2012).
The book is a gold mine of clinical advice based on obtaining a detailed history and performing a thorough physical examination.
Machine learning techniques for the text mining of cancer-related clinical documents have not been sufficiently explored.
When the data mining of the CCIH clinical dataset was conducted, any adjuvant chemotherapy regimen that contained both doxorubicin (A) and a taxane (T) (either paclitaxel or docetaxel) was compared with any regimen containing A without T.
Our study is the first extensive data mining and phylogenetic construction of clinical isolates of Leishmania and Leptomonas which is based on annotation of Rabs obtained from our whole genome sequencing [ 1].
Recently, we have also presented a systematically target network analysis framework by integrating bioinformatics databases, and used this model to explore the mechanism of anti-Alzheimer's disease (AD) herb ingredients searched by a large-scale text mining of PubMed and the clinical trial database.
The Commission explains that the Human Brain Project will "collect the masses of clinical data available, mining for biological patterns, leading to new ways of diagnosing and classifying brain diseases".
