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Classification of gait patterns between patients with Parkinson's disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks.

Neural networks : the official journal of the International Neural Network Society Jan 6, 2019
Parkinson's disease (PD) is a common neurodegenerative disorder that affects human's quality of life, especially leading to locomotor deficits such as postural instability and gait disturbances. Gait signal is one of the best features to characterize...
Aged Humans Male Neural Networks, Computer Middle Aged Quality of Life Female Parkinson Disease Gait Healthy Volunteers Empirical Research
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A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery.

Journal of medical systems Jan 5, 2019
Robot-assisted surgery (RAS) requires a large capital investment by healthcare organizations. The cost of a robotic unit is fixed, so institutions must maximize use of each unit by utilizing all available operating room block time. One way to increas...
Comorbidity Severity of Illness Index Age Factors Operative Time Robotic Surgical Procedures Sex Factors Efficiency, Organizational Linear Models Operating Rooms Neural Networks, Computer Machine Learning Female Aged Male Humans
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Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide.

Molecular psychiatry Jan 4, 2019
Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts rising. Family studies have estimated substantial heritability of suicidal behavior; however, collecting the sample sizes necessary for successful ge...
Health Surveys Humans Biological Specimen Banks Machine Learning Probability Tennessee Phenotype White People Mental Health Electronic Health Records Male United Kingdom Female Suicide, Attempted Risk Factors Suicidal Ideation Genome-Wide Association Study
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Accuracy of robot-assisted versus optical frameless navigated stereoelectroencephalography electrode placement in children.

Journal of neurosurgery. Pediatrics Jan 4, 2019
OBJECTIVE The aim of this study was to compare the accuracy of optical frameless neuronavigation (ON) and robot-assisted (RA) stereoelectroencephalography (SEEG) electrode placement in children, and to identify factors that might increase the risk of...
Child, Preschool Child Imaging, Three-Dimensional Magnetic Resonance Imaging Robotics Brain Retrospective Studies Female Male Optical Devices Neuronavigation Tomography Scanners, X-Ray Computed Electroencephalography Brain Waves Stereotaxic Techniques Drug Resistant Epilepsy Electrodes, Implanted Humans
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Fully automated detection of retinal disorders by image-based deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 4, 2019
PURPOSE: With the aging population and the global diabetes epidemic, the prevalence of age-related macular degeneration (AMD) and diabetic macular edema (DME) diseases which are the leading causes of blindness is further increasing. Intravitreal inje...
Humans Neural Networks, Computer Follow-Up Studies Male Algorithms Tomography, Optical Coherence Middle Aged Retrospective Studies Retina Female Retinal Diseases Reproducibility of Results Deep Learning ROC Curve Image Processing, Computer-Assisted
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Artificial intelligence for sex determination of skeletal remains: Application of a deep learning artificial neural network to human skulls.

Journal of forensic and legal medicine Jan 4, 2019
A deep learning artificial neural network was adapted to the task of sex determination of skeletal remains. The neural network was trained on images of 900 skulls virtually reconstructed from hospital CT scans. When tested on previously unseen images...
Humans Neural Networks, Computer Software Tomography, X-Ray Computed Female Adult Male Deep Learning Forensic Anthropology Imaging, Three-Dimensional Australia Sex Determination by Skeleton Skull
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Automatically Evaluating Balance: A Machine Learning Approach.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 4, 2019
Compared to in-clinic balance training, in-home training is not as effective. This is, in part, due to the lack of feedback from physical therapists (PTs). In this paper, we analyze the feasibility of using trunk sway data and machine learning (ML) t...
Self-Assessment Torso Aged Vestibular Diseases Male Humans Middle Aged Machine Learning Pilot Projects Models, Statistical Female Support Vector Machine Postural Balance Reproducibility of Results Exercise Therapy Physical Therapy Modalities Physical Education and Training
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Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.

JAMA network open Jan 4, 2019
IMPORTANCE: While machine learning approaches may enhance prediction ability, little is known about their utility in emergency department (ED) triage.
Models, Educational Child, Hospitalized Prognosis Triage Female Emergency Service, Hospital Hospitalization Child, Preschool Critical Care Male Child Quality Improvement Adolescent United States Critical Care Outcomes Humans Predictive Value of Tests Machine Learning
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A Deep Learning-Based Approach to Reduce Rescan and Recall Rates in Clinical MRI Examinations.

AJNR. American journal of neuroradiology Jan 3, 2019
BACKGROUND AND PURPOSE: MR imaging rescans and recalls can create large hospital revenue loss. The purpose of this study was to develop a fast, automated method for assessing rescan need in motion-corrupted brain series.
Deep Learning Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Brain Artifacts Female Neuroimaging Male
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Pain-Related Fear-Dissociable Neural Sources of Different Fear Constructs.

eNeuro Jan 3, 2019
Fear of pain demonstrates significant prognostic value regarding the development of persistent musculoskeletal pain and disability. Its assessment often relies on self-report measures of pain-related fear by a variety of questionnaires. However, base...
Humans Fear Psychiatric Status Rating Scales Young Adult Brain Mapping Surveys and Questionnaires Adult Machine Learning Oxygen Adolescent Male Brain Pain Image Processing, Computer-Assisted Magnetic Resonance Imaging Middle Aged Self Report Female Anxiety Correlation of Data
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