Humans

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Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models.

Scientific reports Sep 15, 2017
Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fundamental challenge in genomic medicine. Many prediction methods face limitations in learning from the high-dimensional profiles generated ...
(1)
Bayes Theorem Datasets as Topic Survival Neural Networks, Computer Software Prognosis Genomics Treatment Outcome Neoplasms Deep Learning Humans
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A deep learning framework for supporting the classification of breast lesions in ultrasound images.

Physics in medicine and biology Sep 15, 2017
In this research, we exploited the deep learning framework to differentiate the distinctive types of lesions and nodules in breast acquired with ultrasound imaging. A biopsy-proven benchmarking dataset was built from 5151 patients cases containing a ...
Humans Neural Networks, Computer Machine Learning Diagnosis, Computer-Assisted Ultrasonography, Mammary ROC Curve Female Image Interpretation, Computer-Assisted Breast Neoplasms Middle Aged
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Machine-learning phenotypic classification of bicuspid aortopathy.

The Journal of thoracic and cardiovascular surgery Sep 14, 2017
BACKGROUND: Bicuspid aortic valves (BAV) are associated with incompletely characterized aortopathy. Our objectives were to identify distinct patterns of aortopathy using machine-learning methods and characterize their association with valve morpholog...
Reproducibility of Results Aged Adult Heart Valve Diseases Middle Aged Machine Learning Pattern Recognition, Automated Diagnosis, Computer-Assisted Phenotype Cross-Sectional Studies Aorta, Thoracic Humans Female Radiographic Image Interpretation, Computer-Assisted Male Aortography Aortic Valve Stenosis Aortic Valve Insufficiency Computed Tomography Angiography Sinus of Valsalva Aortic Valve Bicuspid Aortic Valve Disease Aortic Aneurysm Predictive Value of Tests
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A deep learning-based multi-model ensemble method for cancer prediction.

Computer methods and programs in biomedicine Sep 14, 2017
BACKGROUND AND OBJECTIVE: Cancer is a complex worldwide health problem associated with high mortality. With the rapid development of the high-throughput sequencing technology and the application of various machine learning methods that have emerged i...
Humans Neural Networks, Computer Machine Learning Neoplasms Models, Theoretical Gene Expression
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The Combined Effects of Adaptive Control and Virtual Reality on Robot-Assisted Fine Hand Motion Rehabilitation in Chronic Stroke Patients: A Case Study.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 14, 2017
Robot-assisted therapy is regarded as an effective and reliable method for the delivery of highly repetitive training that is needed to trigger neuroplasticity following a stroke. However, the lack of fully adaptive assist-as-needed control of the ro...
Time Factors Treatment Outcome Neuronal Plasticity Biomechanical Phenomena Male Middle Aged Robotics Hand Stroke Range of Motion, Articular Muscle Strength Recovery of Function Chronic Disease Female Aged Humans Video Games Stroke Rehabilitation Adaptation, Psychological Virtual Reality Exposure Therapy Motor Activity
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Robust Alternating Low-Rank Representation by joint L- and L-norm minimization.

Neural networks : the official journal of the International Neural Network Society Sep 14, 2017
We propose a robust Alternating Low-Rank Representation (ALRR) model formed by an alternating forward-backward representation process. For forward representation, ALRR first recovers the low-rank PCs and random corruptions by an adaptive local Robust...
Pattern Recognition, Visual Humans Machine Learning Algorithms
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The Artificial Neural Networks Based on Scalarization Method for a Class of Bilevel Biobjective Programming Problem.

Computational intelligence and neuroscience Sep 14, 2017
A two-stage artificial neural network (ANN) based on scalarization method is proposed for bilevel biobjective programming problem (BLBOP). The induced set of the BLBOP is firstly expressed as the set of minimal solutions of a biobjective optimization...
Programming, Linear Computer Simulation Humans Decision Making Neural Networks, Computer Problem Solving Algorithms
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Combining Upper Limb Robotic Rehabilitation with Other Therapeutic Approaches after Stroke: Current Status, Rationale, and Challenges.

BioMed research international Sep 13, 2017
A better understanding of the neural substrates that underlie motor recovery after stroke has led to the development of innovative rehabilitation strategies and tools that incorporate key elements of motor skill relearning, that is, intensive motor t...
Movement Upper Extremity Stroke Rehabilitation Humans Robotics Recovery of Function Stroke Electric Stimulation
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Mitral repair failures are not the robot's fault!

The Journal of thoracic and cardiovascular surgery Sep 12, 2017
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Robotic Surgical Procedures Mitral Valve Heart Valve Diseases Reoperation Humans Robotics
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Re: Advanced Reconstruction of Vesicourethral Support (ARVUS) during Robot-Assisted Radical Prostatectomy: One-Year Functional Outcomes in a Two-Group Randomised Controlled Trial.

The Journal of urology Sep 12, 2017
Prostatectomy Urinary Bladder Humans Male Robotics Prostate
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