Humans

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An expert system feedback tool improves the reliability of clinical gait kinematics for older adults with lower limb osteoarthritis.

Gait & posture Aug 10, 2017
Recently, an expert system was developed to provide feedback to examiners with the aim of improving reliability of marker-based gait analysis. The purpose of the current study was to evaluate the effectiveness of this novel feedback tool in improving...
Humans Female Reproducibility of Results Aged Lower Extremity Gait Expert Systems Osteoarthritis, Knee Osteoarthritis, Hip Feedback, Physiological Time Factors Adult Biomechanical Phenomena Imaging, Three-Dimensional Male Models, Theoretical Middle Aged
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Monitoring stress with a wrist device using context.

Journal of biomedical informatics Aug 10, 2017
Being able to detect stress as it occurs can greatly contribute to dealing with its negative health and economic consequences. However, detecting stress in real life with an unobtrusive wrist device is a challenging task. The objective of this study ...
Life Change Events Monitoring, Physiologic Signal Processing, Computer-Assisted Wrist Humans Machine Learning Stress, Psychological
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Automated Training of Deep Convolutional Neural Networks for Cell Segmentation.

Scientific reports Aug 10, 2017
Deep Convolutional Neural Networks (DCNN) have recently emerged as superior for many image segmentation tasks. The DCNN performance is however heavily dependent on the availability of large amounts of problem-specific training samples. Here we show t...
(1)
Humans Neural Networks, Computer Image Processing, Computer-Assisted Cytological Techniques Intravital Microscopy Machine Learning Automation, Laboratory Cell Line, Tumor
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The ResQu Index: A new instrument to appraise the quality of research on birth place.

PloS one Aug 10, 2017
OBJECTIVE: Place of birth is a known determinant of health care outcomes, interventions and costs. Many studies have examined the maternal and perinatal outcomes when women plan to give birth in hospitals compared with births in birth centres or at h...
Quality of Health Care Infant, Newborn Patient Care Planning Humans Parturition Pilot Projects Pregnancy Birthing Centers Labor, Obstetric Expert Systems Home Childbirth Female
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Prediction of N-linked glycosylation sites using position relative features and statistical moments.

PloS one Aug 10, 2017
Glycosylation is one of the most complex post translation modification in eukaryotic cells. Almost 50% of the human proteome is glycosylated as glycosylation plays a vital role in various biological functions such as antigen's recognition, cell-cell ...
(1)
Computational Biology Glycosylation Support Vector Machine Humans Neural Networks, Computer Algorithms Databases, Protein Amino Acid Sequence Sequence Analysis, Protein
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An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition.

PloS one Aug 10, 2017
Language recognition systems based on bottleneck features have recently become the state-of-the-art in this research field, showing its success in the last Language Recognition Evaluation (LRE 2015) organized by NIST (U.S. National Institute of Stand...
Humans Speech Recognition Software Neural Networks, Computer Phonetics Algorithms
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An efficient method for kidney allocation problem: a credibility-based fuzzy common weights data envelopment analysis approach.

Health care management science Aug 9, 2017
Given the perennial imbalance and chronic scarcity between the demand for and supply of available organs, organ allocation is one of the most critical decisions in the management of organ transplantation networks. Organ allocation systems undergo rap...
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Fuzzy Logic Time Factors Life Expectancy Iran Health Care Rationing Models, Theoretical Humans Tissue and Organ Procurement Age Factors Kidney Transplantation Reproducibility of Results
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Learning and combining image neighborhoods using random forests for neonatal brain disease classification.

Medical image analysis Aug 9, 2017
It is challenging to characterize and classify normal and abnormal brain development during early childhood. To reduce the complexity of heterogeneous data population, manifold learning techniques are increasingly applied, which find a low-dimensiona...
Infant, Newborn, Diseases Cerebral Ventricles Fetal Growth Retardation Supervised Machine Learning Image Interpretation, Computer-Assisted Brain Diseases Humans Infant, Newborn Magnetic Resonance Imaging
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Re: Selective Arterial Clamping Does Not Improve Outcomes in Robot-Assisted Partial Nephrectomy: A Propensity-Score Analysis of Patients without Impaired Renal Function.

The Journal of urology Aug 9, 2017
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Constriction Robotics Propensity Score Nephrectomy Humans
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Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis.

Circulation research Aug 9, 2017
RATIONALE: Machine learning may be useful to characterize cardiovascular risk, predict outcomes, and identify biomarkers in population studies.
Aged, 80 and over Survival Rate Male Machine Learning Female Aged Follow-Up Studies Predictive Value of Tests Atherosclerosis Ethnicity Cardiovascular Diseases Middle Aged Cohort Studies Humans
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