AIMC Topic: Humans

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Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.

BMC bioinformatics Jan 5, 2019
BACKGROUND: To further our understanding of immunopeptidomics, improved tools are needed to identify peptides presented by major histocompatibility complex class I (MHC-I). Many existing tools are limited by their reliance upon chemical affinity data...
Humans Machine Learning Algorithms Databases, Protein Histocompatibility Antigens Class I Gene Expression Regulation Reproducibility of Results Peptides Cell Line, Tumor Proteome
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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...
Humans Machine Learning Mental Health Male Suicide, Attempted Suicidal Ideation Genome-Wide Association Study Phenotype Electronic Health Records Female Risk Factors United Kingdom Tennessee Health Surveys Biological Specimen Banks Probability White People
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Machine learning in suicide science: Applications and ethics.

Behavioral sciences & the law Jan 4, 2019
For decades, our ability to predict suicide has remained at near-chance levels. Machine learning has recently emerged as a promising tool for advancing suicide science, particularly in the domain of suicide prediction. The present review provides an ...
Ethics, Medical Probability Algorithms Decision Support Techniques Research Risk Assessment Humans Longitudinal Studies Machine Learning Suicide Prevention Cluster Analysis Suicide Unsupervised Machine Learning
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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...
Electrodes, Implanted Optical Devices Neuronavigation Tomography Scanners, X-Ray Computed Brain Electroencephalography Retrospective Studies Brain Waves Female Stereotaxic Techniques Humans Male Drug Resistant Epilepsy Imaging, Three-Dimensional Child, Preschool Magnetic Resonance Imaging Child Robotics
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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...
Retina Retinal Diseases ROC Curve Image Processing, Computer-Assisted Follow-Up Studies Tomography, Optical Coherence Humans Neural Networks, Computer Algorithms Retrospective Studies Male Middle Aged Deep Learning Female Reproducibility of Results
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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...
Tomography, X-Ray Computed Female Adult Male Humans Skull Deep Learning Neural Networks, Computer Imaging, Three-Dimensional Forensic Anthropology Software Australia Sex Determination by Skeleton
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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...
Exercise Therapy Physical Therapy Modalities Physical Education and Training Self-Assessment Torso Vestibular Diseases Pilot Projects Support Vector Machine Models, Statistical Postural Balance Reproducibility of Results Humans Aged Machine Learning Male Female Middle Aged
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Simultaneous cosegmentation of tumors in PET-CT images using deep fully convolutional networks.

Medical physics Jan 4, 2019
PURPOSE: To investigate the use and efficiency of 3-D deep learning, fully convolutional networks (DFCN) for simultaneous tumor cosegmentation on dual-modality nonsmall cell lung cancer (NSCLC) and positron emission tomography (PET)-computed tomograp...
Time Factors Image Processing, Computer-Assisted Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Neural Networks, Computer Positron Emission Tomography Computed Tomography Whole Body Imaging
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Deep-learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography.

Medical physics Jan 4, 2019
PURPOSE: We are developing a computerized segmentation tool for the inner and outer bladder wall as a part of an image analysis pipeline for CT urography (CTU).
Deep Learning Image Processing, Computer-Assisted Radiation Dosage Urinary Bladder Urography Humans Tomography, X-Ray Computed
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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.
Child Child, Hospitalized Hospitalization United States Humans Quality Improvement Male Predictive Value of Tests Machine Learning Critical Care Outcomes Adolescent Triage Prognosis Models, Educational Child, Preschool Female Emergency Service, Hospital Critical Care
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