Humans

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Natural History and Predictors of Parastomal Hernia after Robot-Assisted Radical Cystectomy and Ileal Conduit Urinary Diversion.

The Journal of urology Sep 7, 2017
PURPOSE: We investigated the prevalence of and variables associated with parastomal hernia and its outcomes after robot-assisted radical cystectomy and ileal conduit creation for bladder cancer.
Cystectomy Urinary Diversion Hernia, Ventral Humans Postoperative Complications Prevalence Time Factors Urinary Bladder Neoplasms Robotics United States Follow-Up Studies Aged Male Middle Aged Retrospective Studies Female Risk Factors
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Potential of telepresence robots to enhance social connectedness in older adults with dementia: an integrative review of feasibility.

International psychogeriatrics Sep 7, 2017
BACKGROUND: Socially assistive robots are increasingly used as a therapeutic tool for people with dementia, as a means to improve quality of life through social connection. This paper presents a mixed-method integrative review of telepresence robots ...
Humans Caregivers Communication Self-Help Devices Quality of Life Robotics User-Computer Interface Social Isolation Dementia
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Machine learning and graph analytics in computational biomedicine.

Artificial intelligence in medicine Sep 7, 2017
Computational Biology Humans Data Mining Databases, Genetic Machine Learning Image Interpretation, Computer-Assisted Animals
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A support vector machine classifier for the prediction of osteosarcoma metastasis with high accuracy.

International journal of molecular medicine Sep 7, 2017
In this study, gene expression profiles of osteosarcoma (OS) were analyzed to identify critical genes associated with metastasis. Five gene expression datasets were screened and downloaded from Gene Expression Omnibus (GEO). Following assessment by M...
(1)
Support Vector Machine Osteosarcoma Bone Neoplasms Protein Interaction Mapping Neoplasm Staging Neoplasm Metastasis Protein Interaction Maps Gene Expression Regulation, Neoplastic Signal Transduction Humans Reproducibility of Results Gene Expression Profiling
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Humans, but Not Deep Neural Networks, Often Miss Giant Targets in Scenes.

Current biology : CB Sep 7, 2017
Even with great advances in machine vision, animals are still unmatched in their ability to visually search complex scenes. Animals from bees [1, 2] to birds [3] to humans [4-12] learn about the statistical relations in visual environments to guide a...
Cues Pattern Recognition, Visual Recognition, Psychology Humans Neural Networks, Computer Reaction Time
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Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis.

Scientific reports Sep 7, 2017
Sepsis is a leading cause of death and is the most expensive condition to treat in U.S. hospitals. Despite targeted efforts to automate earlier detection of sepsis, current techniques rely exclusively on using either standard clinical data or novel b...
Humans Machine Learning Decision Support Techniques Biomarkers United States Predictive Value of Tests Electronic Data Processing Electronic Health Records Sepsis ROC Curve
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Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI.

Contrast media & molecular imaging Sep 7, 2017
OBJECTIVE: We aimed to propose an automatic method based on Support Vector Machine (SVM) and Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to segment the tumor lesions of head and neck cancer (HNC).
Support Vector Machine Contrast Media Magnetic Resonance Imaging Humans Male Databases, Factual Image Processing, Computer-Assisted Female Head and Neck Neoplasms
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Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions.

PloS one Sep 7, 2017
BACKGROUND: Assessment of health benefits associated with physical activity depend on the activity duration, intensity and frequency, therefore their correct identification is very valuable and important in epidemiological and clinical studies. The a...
(1)
Automation Accelerometry Jogging Adolescent Humans Models, Theoretical Databases as Topic Machine Learning Algorithms
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Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index.

Annals of emergency medicine Sep 6, 2017
STUDY OBJECTIVE: Standards for emergency department (ED) triage in the United States rely heavily on subjective assessment and are limited in their ability to risk-stratify patients. This study seeks to evaluate an electronic triage system (e-triage)...
Male United States Triage Female Adult Cross-Sectional Studies Area Under Curve Emergency Service, Hospital Vital Signs Algorithms Retrospective Studies Humans Machine Learning
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Analysis of deep learning methods for blind protein contact prediction in CASP12.

Proteins Sep 6, 2017
Here we present the results of protein contact prediction achieved in CASP12 by our RaptorX-Contact server, which is an early implementation of our deep learning method for contact prediction. On a set of 38 free-modeling target domains with a median...
Neural Networks, Computer Software Algorithms Humans Models, Molecular Crystallography, X-Ray Protein Conformation Protein Folding Deep Learning Computational Biology Proteins
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