AIMC Topic: Data Mining

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Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning.

Database : the journal of biological databases and curation
Medicinal chemistry patents contain rich information about chemical compounds. Although much effort has been devoted to extracting chemical entities from scientific literature, limited numbers of patent mining systems are publically available, probab...

Initial investigation into computer scoring of candidate essays for personnel selection.

The Journal of applied psychology
[Correction Notice: An Erratum for this article was reported in Vol 101(7) of Journal of Applied Psychology (see record 2016-32115-001). In the article the affiliations for Emily D. Campion and Matthew H. Reider were originally incorrect. All version...

Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
OBJECTIVE: Delayed diagnosis of Kawasaki disease (KD) may lead to serious cardiac complications. We sought to create and test the performance of a natural language processing (NLP) tool, the KD-NLP, in the identification of emergency department (ED) ...

DiMeX: A Text Mining System for Mutation-Disease Association Extraction.

PloS one
The number of published articles describing associations between mutations and diseases is increasing at a fast pace. There is a pressing need to gather such mutation-disease associations into public knowledge bases, but manual curation slows down th...

Predicting drug target interactions using meta-path-based semantic network analysis.

BMC bioinformatics
BACKGROUND: In the context of drug discovery, drug target interactions (DTIs) can be predicted based on observed topological features of a semantic network across the chemical and biological space. In a semantic network, the types of the nodes and li...

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Health care generated data have become an important source for clinical and genomic research. Often, investigators create and iteratively refine phenotype algorithms to achieve high positive predictive values (PPVs) or sensitivity, thereby...

Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.gov.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Clinical trials investigating drugs that target specific genetic alterations in tumors are important for promoting personalized cancer therapy. The goal of this project is to create a knowledge base of cancer treatment trials with annotati...

Linking rare and common disease: mapping clinical disease-phenotypes to ontologies in therapeutic target validation.

Journal of biomedical semantics
BACKGROUND: The Centre for Therapeutic Target Validation (CTTV - https://www.targetvalidation.org/) was established to generate therapeutic target evidence from genome-scale experiments and analyses. CTTV aims to support the validity of therapeutic t...

Application of an automated natural language processing (NLP) workflow to enable federated search of external biomedical content in drug discovery and development.

Drug discovery today
External content sources such as MEDLINE(®), National Institutes of Health (NIH) grants and conference websites provide access to the latest breaking biomedical information, which can inform pharmaceutical and biotechnology company pipeline decisions...