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A distant supervision based approach to medical persona classification.

Identifying medical persona from a social media post is critical for drug marketing, pharmacovigilan...

Effects of combining modern recovery techniques with neurotrophic medication and standard treatment in stroke patients.

Stroke is the main cause of disability after age 65, leaving survivors with sequels that require car...

An adverse drug effect mentions extraction method based on weighted online recurrent extreme learning machine.

BACKGROUND AND OBJECTIVE: Automatic extraction of adverse drug effect (ADE) mentions from biomedical...

Prediction of binding property of RNA-binding proteins using multi-sized filters and multi-modal deep convolutional neural network.

RNA-binding proteins (RBPs) are important in gene expression regulations by post-transcriptional con...

Refining humane endpoints in mouse models of disease by systematic review and machine learning-based endpoint definition.

Ideally, humane endpoints allow for early termination of experiments by minimizing an animal's disco...

Differences in muscle activity and fatigue of the upper limb between Task-Specific training and robot assisted training among individuals post stroke.

OBJECTIVE: To compare the activity and fatigue of upper extremity muscles, pain levels, subject sati...

Influence of New Technologies on Post-Stroke Rehabilitation: A Comparison of Armeo Spring to the Kinect System.

BACKGROUND: New technologies to improve post-stroke rehabilitation outcomes are of great interest an...

Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data.

Currently available risk prediction methods are limited in their ability to deal with complex, heter...

Latent Phase Detection of Hypoxic-Ischemic Spike Transients in the EEG of Preterm Fetal Sheep Using Reverse Biorthogonal Wavelets & Fuzzy Classifier.

Hypoxic-ischemic (HI) studies in preterms lack reliable prognostic biomarkers for diagnostic tests o...

Machine Learning for the Prediction of Cervical Spondylotic Myelopathy: A Post Hoc Pilot Study of 28 Participants.

BACKGROUND: Cervical spondylotic myelopathy (CSM) severity and presence of symptoms are often diffic...

Machine learning on adverse drug reactions for pharmacovigilance.

Machine learning, especially deep learning, has the predictive power to predict adverse drug reactio...

MCN: A comprehensive corpus for medical concept normalization.

Normalization of clinical text involves linking different ways of talking about the same clinical co...

Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients.

Currently in patients with bladder cancer, various clinical evaluations (imaging, operative findings...

Artificial Neural Network for in-Bed Posture Classification Using Bed-Sheet Pressure Sensors.

Pressure ulcer prevention is a vital procedure for patients undergoing long-term hospitalization. A ...

Detecting Potential Adverse Drug Reactions Using a Deep Neural Network Model.

BACKGROUND: Adverse drug reactions (ADRs) are common and are the underlying cause of over a million ...

Automatic real-time gait event detection in children using deep neural networks.

Annotation of foot-contact and foot-off events is the initial step in post-processing for most quant...

A deep learning method to more accurately recall known lysine acetylation sites.

BACKGROUND: Lysine acetylation in protein is one of the most important post-translational modificati...

The onset and post-onset auditory responses of cochlear nucleus neurons are modulated differently by cortical activation.

Auditory cortex exhibit a capacity of modulating the functions of subcortical auditory nuclei and ev...

Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy.

PURPOSE: The purpose of this study was to compare the effectiveness of ensemble methods (e.g., rando...

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