AIMC Topic: Humans

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Determination of appropriate urine volume cutoff values for voided urine specimens to assess adequacy.

Journal of the American Society of Cytopathology Nov 7, 2018
INTRODUCTION: Incorporating urine volume into adequacy assessment was recommended by The Paris System for Reporting Urinary Cytology. The concept was relatively new, however, and supportive studies were sparse. We accordingly aimed to determine the r...
Urine Specimen Collection Cytodiagnosis False Negative Reactions Urine Logistic Models Humans Urologic Neoplasms Female Retrospective Studies Aged Male
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Machine Learning in Neurooncology Imaging: From Study Request to Diagnosis and Treatment.

AJR. American journal of roentgenology Nov 7, 2018
OBJECTIVE: Machine learning has potential to play a key role across a variety of medical imaging applications. This review seeks to elucidate the ways in which machine learning can aid and enhance diagnosis, treatment, and follow-up in neurooncology.
Algorithms Brain Neoplasms Neuroimaging Humans Machine Learning
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Space-time trends of PM constituents in the conterminous United States estimated by a machine learning approach, 2005-2015.

Environment international Nov 7, 2018
Particulate matter with aerodynamic diameter less than 2.5 μm (PM) is a complex mixture of chemical constituents emitted from various emission sources or through secondary reactions/processes; however, PM is regulated mostly based on its total mass c...
California Nitrogen Oxides Transportation Air Pollutants Particulate Matter Machine Learning New York Cities Environmental Monitoring United States Humans Carbon
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Predicting drug-resistant epilepsy - A machine learning approach based on administrative claims data.

Epilepsy & behavior : E&B Nov 7, 2018
Patients with drug-resistant epilepsy (DRE) are at high risk of morbidity and mortality, yet their referral to specialist care is frequently delayed. The ability to identify patients at high risk of DRE at the time of treatment initiation, and to sub...
Humans Machine Learning Algorithms Regression Analysis Male Drug Resistant Epilepsy Female Anticonvulsants Middle Aged Insurance Claim Reporting Feasibility Studies Adult ROC Curve
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What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images.

AJR. American journal of roentgenology Nov 7, 2018
OBJECTIVE: Deep learning has shown great promise for improving medical image classification tasks. However, knowing what aspects of an image the deep learning system uses or, in a manner of speaking, sees to make its prediction is difficult.
Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Humans Algorithms Image Processing, Computer-Assisted
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Modeling and Predicting the Activities of Trans-Acting Splicing Factors with Machine Learning.

Cell systems Nov 7, 2018
Alternative splicing (AS) is generally regulated by trans-splicing factors that specifically bind to cis-elements in pre-mRNAs. The human genome encodes ∼1,500 RNA binding proteins (RBPs) that potentially regulate AS, yet their functions remain large...
Machine Learning Computational Biology Models, Genetic Humans RNA Splicing RNA Splicing Factors
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Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks.

Scientific reports Nov 7, 2018
Magnetic resonance imaging (MRI) has been proposed as a complimentary method to measure bone quality and assess fracture risk. However, manual segmentation of MR images of bone is time-consuming, limiting the use of MRI measurements in the clinical p...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Mammography Femur Algorithms Reproducibility of Results ROC Curve Neural Networks, Computer Machine Learning Humans
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A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data Classification.

Scientific reports Nov 7, 2018
In predictive model development, gene expression data is associated with the unique challenge that the number of samples (n) is much smaller than the amount of features (p). This "n ≪ p" property has prevented classification of gene expression data f...
Deep Learning ROC Curve Computational Biology Neural Networks, Computer Algorithms Gene Expression Regulation Humans
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Could artificial intelligence make doctors obsolete?

BMJ (Clinical research ed.) Nov 7, 2018
Physicians Diagnosis, Computer-Assisted Therapy, Computer-Assisted Humans Artificial Intelligence Physician's Role Professional-Patient Relations
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Automated Extraction of Diagnostic Criteria From Electronic Health Records for Autism Spectrum Disorders: Development, Evaluation, and Application.

Journal of medical Internet research Nov 7, 2018
BACKGROUND: Electronic health records (EHRs) bring many opportunities for information utilization. One such use is the surveillance conducted by the Centers for Disease Control and Prevention to track cases of autism spectrum disorder (ASD). This pro...
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Female Child, Preschool Male Humans Child Prevalence Autism Spectrum Disorder Natural Language Processing Electronic Health Records
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