AIMC Topic: Humans
Showing 67061 to 67070 of 95995 articles
A machine learning ensemble to predict treatment outcomes following an Internet intervention for depression.
Psychological medicine
Nov 5, 2018
BACKGROUND: Some Internet interventions are regarded as effective treatments for adult depression, but less is known about who responds to this form of treatment.
Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data.
IEEE transactions on bio-medical engineering
Nov 5, 2018
As the collection of mobile health data becomes pervasive, missing data can make large portions of datasets inaccessible for analysis. Missing data has shown particularly problematic for remotely diagnosing and monitoring Parkinson's disease (PD) usi...
Dangers of Machine Translation: The Need for Professionally Translated Anticipatory Guidance Resources for Limited English Proficiency Caregivers.
Clinical pediatrics
Nov 5, 2018
Predicting conversion from clinically isolated syndrome to multiple sclerosis-An imaging-based machine learning approach.
NeuroImage. Clinical
Nov 5, 2018
Magnetic resonance imaging (MRI) scans play a pivotal role in the evaluation of patients presenting with a clinically isolated syndrome (CIS), as these may depict brain lesions suggestive of an inflammatory cause. We hypothesized that it is possible ...
Efficient automated detection of mitotic cells from breast histological images using deep convolution neutral network with wavelet decomposed patches.
Computers in biology and medicine
Nov 5, 2018
In medical practice, the mitotic cell count from histological images acts as a proliferative marker for cancer diagnosis. Therefore, an accurate method for detecting mitotic cells in histological images is essential for cancer screening. Manual evalu...
A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data.
Nature genetics
Nov 5, 2018
Cancer genomic analysis requires accurate identification of somatic variants in sequencing data. Manual review to refine somatic variant calls is required as a final step after automated processing. However, manual variant refinement is time-consumin...
Introduction to Machine Learning in Digital Healthcare Epidemiology.
Infection control and hospital epidemiology
Nov 5, 2018
To exploit the full potential of big routine data in healthcare and to efficiently communicate and collaborate with information technology specialists and data analysts, healthcare epidemiologists should have some knowledge of large-scale analysis te...
Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things.
Journal of medical systems
Nov 5, 2018
Electrocardiography (ECG) sensors play a vital role in the Internet of Medical Things, and these sensors help in monitoring the electrical activity of the heart. ECG signal analysis can improve human life in many ways, from diagnosing diseases among ...
Machine Learning Reveals Protein Signatures in CSF and Plasma Fluids of Clinical Value for ALS.
Scientific reports
Nov 5, 2018
We use shotgun proteomics to identify biomarkers of diagnostic and prognostic value in individuals diagnosed with amyotrophic lateral sclerosis. Matched cerebrospinal and plasma fluids were subjected to abundant protein depletion and analyzed by nano...
A Randomized Control Trial Of Anti-Inflammatory Regional Hypothermia On Urinary Continence During Robot-Assisted Radical Prostatectomy.
Scientific reports
Nov 5, 2018
The present study seeks to present a single-blind, randomized control trial of a hypothermic anti-inflammatory device, the endorectal cooling balloon (ECB), to assess whether regional hypothermia could improve 90-day and time to pad-free continence f...
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