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Handling Temporality of Clinical Events for Drug Safety Surveillance.

Using longitudinal data in electronic health records (EHRs) for post-marketing adverse drug event (A...

Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language.

To incorporate ontological concepts in natural language processing (NLP) it is often necessary to co...

Gait speed using powered robotic exoskeletons after spinal cord injury: a systematic review and correlational study.

Powered robotic exoskeletons are an emerging technology of wearable orthoses that can be used as an ...

Two Different Points of View through Artificial Intelligence and Vector Autoregressive Models for Ex Post and Ex Ante Forecasting.

The ANN method has been applied by means of multilayered feedforward neural networks (MLFNs) by usin...

Text mining for pharmacovigilance: Using machine learning for drug name recognition and drug-drug interaction extraction and classification.

Pharmacovigilance (PV) is defined by the World Health Organization as the science and activities rel...

The association between cardiorespiratory fitness and abdominal adiposity in postmenopausal, physically inactive South Asian women.

In South Asians, a unique obesity phenotype of high abdominal fat is associated with increased cardi...

The modified tower vertical filler technique for the treatment of post-acne scarring.

BACKGROUND: Acne scarring remains a difficult problem for patients and physicians. Often it is treat...

Extracting Biomedical Event with Dual Decomposition Integrating Word Embeddings.

Extracting biomedical event from literatures has attracted much attention recently. By now, most of ...

Individual prediction of chronic motor outcome in the acute post-stroke stage: Behavioral parameters versus functional imaging.

Several neurobiological factors have been found to correlate with functional recovery after brain le...

Uroflow Stop Test and Potency Recovery: A Surrogate for Pelvic Floor Integrity Post Robotic-Assisted Radical Prostatectomy?

OBJECTIVE: To study the relation between uroflow Stop Test and early recovery of potency following r...

On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions.

The advances achieved in Natural Language Processing make it possible to automatically mine informat...

Machine Learning Approach to Optimizing Combined Stimulation and Medication Therapies for Parkinson's Disease.

BACKGROUND: Deep brain stimulation (DBS) of the subthalamic region is an established therapy for adv...

Systems analysis of gene ontology and biological pathways involved in post-myocardial infarction responses.

BACKGROUND: Pathway analysis has been widely used to gain insight into essential mechanisms of the r...

Using swing resistance and assistance to improve gait symmetry in individuals post-stroke.

A major characteristic of hemiplegic gait observed in individuals post-stroke is spatial and tempora...

Toward a complete dataset of drug-drug interaction information from publicly available sources.

Although potential drug-drug interactions (PDDIs) are a significant source of preventable drug-relat...

Volumetric MRI analysis pre- and post-Transoral robotic surgery for obstructive sleep apnea.

OBJECTIVES/HYPOTHESIS: To quantitatively measure volumetric changes in upper airway soft tissue stru...

Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG.

Automatic seizure detection technology is of great significance for long-term electroencephalogram (...

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