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Post-operative bleeding risk stratification in cardiac pulmonary bypass patients using artificial neural network.

The prediction of bleeding risk in cardiopulmonary bypass (CPB) patients plays a vital role in their postoperative management. Therefore, an artificial neural network (ANN) to analyze intra-operative laboratory data to predict postoperative bleeding was set up. The JustNN software (Neural Planner Software, Cheshire, England) was used. This ANN was trained using 15 intra-operative laboratory parame...

Jan 1 2015 25887872

Exploring brand-name drug mentions on Twitter for pharmacovigilance.

Twitter has been proposed by several studies as a means to track public health trends such as influenza and Ebola outbreaks by analyzing user messages in order to measure different population features and interests. In this work we analyze the number and features of mentions on Twitter of drug brand names in order to explore the potential usefulness of the automated detection of drug side effects ...

Jan 1 2015 25991101
A Novel Approach to Create a Machine Readable Concept Model for Validating SNOMED CT Concept Post-coordination.

Post-coordination provides the means to achieve an appropriate content coverage, which is critical in successfully adopting clinical reference termino...

Jan 1 2015 26262386
Assessing neuro-motor recovery in a stroke survivor with high-resolution EEG, robotics and Virtual Reality.

One post-stroke patient underwent neuro-motor rehabilitation of one upper limb with a novel system combining a passive robotic device, Virtual Reality...

Jan 1 2015 26737152
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