AI Medical Compendium Topic

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Predicting drug side effects by multi-label learning and ensemble learning.

BMC bioinformatics
BACKGROUND: Predicting drug side effects is an important topic in the drug discovery. Although several machine learning methods have been proposed to predict side effects, there is still space for improvements. Firstly, the side effect prediction is ...

Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System.

PloS one
This study presents a 2-stage heartbeat classifier of supraventricular (SVB) and ventricular (VB) beats. Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a ...

Semantic biomedical resource discovery: a Natural Language Processing framework.

BMC medical informatics and decision making
BACKGROUND: A plethora of publicly available biomedical resources do currently exist and are constantly increasing at a fast rate. In parallel, specialized repositories are been developed, indexing numerous clinical and biomedical tools. The main dra...

Prediction of hydrogen and carbon chemical shifts from RNA using database mining and support vector regression.

Journal of biomolecular NMR
The Biological Magnetic Resonance Data Bank (BMRB) contains NMR chemical shift depositions for over 200 RNAs and RNA-containing complexes. We have analyzed the (1)H NMR and (13)C chemical shifts reported for non-exchangeable protons of 187 of these R...

RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To develop and evaluate RobotReviewer, a machine learning (ML) system that automatically assesses bias in clinical trials. From a (PDF-formatted) trial report, the system should determine risks of bias for the domains defined by the Cochra...

Installing a Local Copy of the Reactome Web Site and Knowledgebase.

Current protocols in bioinformatics
The Reactome project builds, maintains, and publishes a knowledgebase of biological pathways. The information in the knowledgebase is gathered from the experts in the field, peer reviewed and edited by Reactome editorial staff, and then published to ...

Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset.

PloS one
For years, we have relied on population surveys to keep track of regional public health statistics, including the prevalence of non-communicable diseases. Because of the cost and limitations of such surveys, we often do not have the up-to-date data o...

Integrating ontologies of rare diseases and radiological diagnosis.

Journal of the American Medical Informatics Association : JAMIA
PURPOSE: The author sought to integrate an ontology of rare diseases with a large ontological model of radiological diagnosis.

Enabling the curation of your pharmacogenetic study.

Clinical pharmacology and therapeutics
As pharmacogenomics becomes integrated into clinical practice, curation of published studies becomes increasingly important. At the Pharmacogenomics Knowledgebase (PharmGKB; www.pharmgkb.org), pharmacogenetic associations reported in published articl...

Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The trade-off between the speed and simplicity of dictionary-based term recognition and the richer linguistic information provided by more advanced natural language processing (NLP) is an area of active discussion in clinical informatics. ...