Humans

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Machine learning improves classification of preclinical models of pancreatic cancer with chemical exchange saturation transfer MRI.

Magnetic resonance in medicine Sep 17, 2018
PURPOSE: We sought to assess whether machine learning-based classification approaches can improve the classification of pancreatic tumor models relative to more simplistic analysis methods, using T relaxation, CEST, and DCE MRI.
Normal Distribution Mice Magnetic Resonance Imaging Pancreatic Neoplasms Animals Cell Line, Tumor Image Processing, Computer-Assisted Principal Component Analysis Humans Area Under Curve Machine Learning Female Hypoxia Algorithms Reproducibility of Results Image Interpretation, Computer-Assisted Sensitivity and Specificity Mice, SCID Image Enhancement
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Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups.

Urologic oncology Sep 17, 2018
BACKGROUND: The advantages of Robot-assisted laparoscopic prostatectomy (RARP) over open radical prostatectomy (ORP) in Prostate cancer perioperatively are well-established, but quality of life is more contentious. Increasingly, patients are utilisin...
Laparoscopy Robotic Surgical Procedures Patient Reported Outcome Measures Prostatectomy Quality of Life Follow-Up Studies Prostatic Neoplasms Adult Male Middle Aged Humans Retrospective Studies Aged Machine Learning Prognosis
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Identifying Latent Subgroups of High-Risk Patients Using Risk Score Trajectories.

Journal of general internal medicine Sep 17, 2018
OBJECTIVE: Many healthcare systems employ population-based risk scores to prospectively identify patients at high risk of poor outcomes, but it is unclear whether single point-in-time scores adequately represent future risk. We sought to identify and...
Hospitalization Aged Male Prospective Studies Female Risk Factors United States Department of Veterans Affairs Hospitals, Veterans Middle Aged United States Follow-Up Studies Humans Machine Learning
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A robust data-driven approach identifies four personality types across four large data sets.

Nature human behaviour Sep 17, 2018
Understanding human personality has been a focus for philosophers and scientists for millennia. It is now widely accepted that there are about five major personality domains that describe the personality profile of an individual. In contrast to perso...
Data Interpretation, Statistical Humans Human Characteristics Personality Individuality Cluster Analysis
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Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20.

BMC genetics Sep 17, 2018
BACKGROUND: Multiple layers of genetic and epigenetic variability are being simultaneously explored in an increasing number of health studies. We summarize here different approaches applied in the Data Mining and Machine Learning group at the GAW20 t...
Cluster Analysis Data Mining CpG Islands Phenotype Genome-Wide Association Study Humans DNA Methylation Machine Learning
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Using recursive feature elimination in random forest to account for correlated variables in high dimensional data.

BMC genetics Sep 17, 2018
BACKGROUND: Random forest (RF) is a machine-learning method that generally works well with high-dimensional problems and allows for nonlinear relationships between predictors; however, the presence of correlated predictors has been shown to impact it...
Humans Machine Learning Genome-Wide Association Study Triglycerides Hypertriglyceridemia Hypoglycemic Agents Polymorphism, Single Nucleotide DNA Methylation Genotype CpG Islands Epigenomics
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Memetic Search Optimization Along with Genetic Scale Recurrent Neural Network for Predictive Rate of Implant Treatment.

Journal of medical systems Sep 17, 2018
Implant treatment is one of the most important surgical processes in teeth which reduces the difficulties in teeth by providing the interface between bone and jaw. The established implant treatment used to support the denture, bridge and teeth crown....
Humans Neural Networks, Computer Dental Implants Dental Prosthesis, Implant-Supported
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Dual-task training of children with neuromotor disorders during robot-assisted gait therapy: prerequisites of patients and influence on leg muscle activity.

Journal of neuroengineering and rehabilitation Sep 17, 2018
BACKGROUND: Walking in daily life is complex entailing various prerequisites such as leg strength, trunk stability or cognitive and motor dual task (DT) activities. Conventional physiotherapy can be complemented with robot-assisted gait therapy (RAGT...
Gait Disorders, Neurologic Gait Female Child Exercise Therapy Male Humans Muscle, Skeletal Video Games Adolescent Robotics
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A document level neural model integrated domain knowledge for chemical-induced disease relations.

BMC bioinformatics Sep 17, 2018
BACKGROUND: The effective combination of texts and knowledge may improve performances of natural language processing tasks. For the recognition of chemical-induced disease (CID) relations which may span sentence boundaries in an article, although exi...
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Machine Learning Databases, Factual Data Mining Humans Neural Networks, Computer Disease
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An unsupervised convolutional neural network-based algorithm for deformable image registration.

Physics in medicine and biology Sep 17, 2018
The purpose of the work is to develop a deep unsupervised learning strategy for cone-beam CT (CBCT) to CT deformable image registration (DIR). This technique uses a deep convolutional inverse graphics network (DCIGN) based DIR algorithm implemented o...
Algorithms Cone-Beam Computed Tomography Image Processing, Computer-Assisted Head and Neck Neoplasms Humans Neural Networks, Computer
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