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A data-driven artificial intelligence model for remote triage in the prehospital environment.

PloS one Oct 23, 2018
In a mass casualty incident, the factors that determine the survival rate of injured patients are diverse, but one of the key factors is the time for triage. Additionally, the main factor that determines the time of triage is the number of medical pe...
ROC Curve Triage Data Analysis Survival Analysis Algorithms Consciousness Middle Aged Hospitals Humans Neural Networks, Computer Artificial Intelligence Machine Learning False Positive Reactions Glasgow Coma Scale
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Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data.

IEEE transactions on medical imaging Oct 22, 2018
The identification and quantification of markers in medical images is critical for diagnosis, prognosis, and disease management. Supervised machine learning enables the detection and exploitation of findings that are known a priori after annotation o...
Humans Algorithms Biomarkers ROC Curve Unsupervised Machine Learning Tomography, Optical Coherence Retina Macular Degeneration Image Interpretation, Computer-Assisted
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Machine learning for diagnostic ultrasound of triple-negative breast cancer.

Breast cancer research and treatment Oct 20, 2018
PURPOSE: Early diagnosis of triple-negative (TN) breast cancer is important due to its aggressive biological characteristics, poor clinical outcomes, and limited options for therapy. The goal of this study is to evaluate the potential of machine lear...
Ultrasonography, Mammary Breast Ultrasonography, Doppler, Color Machine Learning Middle Aged Retrospective Studies Humans ROC Curve Female Image Processing, Computer-Assisted Adult Triple Negative Breast Neoplasms Early Detection of Cancer
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Diagnostic accuracy of content-based dermatoscopic image retrieval with deep classification features.

The British journal of dermatology Oct 17, 2018
BACKGROUND: Automated classification of medical images through neural networks can reach high accuracy rates but lacks interpretability.
ROC Curve Image Processing, Computer-Assisted Skin Skin Diseases Datasets as Topic Humans Retrospective Studies Dermoscopy Deep Learning
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Drug Repurposing Prediction for Immune-Mediated Cutaneous Diseases using a Word-Embedding-Based Machine Learning Approach.

The Journal of investigative dermatology Oct 17, 2018
Immune-mediated diseases affect more than 20% of the population, and many autoimmune diseases affect the skin. Drug repurposing (or repositioning) is a cost-effective approach for finding drugs that can be used to treat diseases for which they are cu...
Computational Biology Drug Repositioning Skin Skin Diseases PubMed Immune System Diseases Machine Learning Algorithms Transcriptome Cohort Studies ROC Curve Humans
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Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set.

Breast cancer research and treatment Oct 16, 2018
PURPOSE: To determine whether a multivariate machine learning-based model using computer-extracted features of pre-treatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict pathologic complete response (pCR) to neoadjuvant ...
ROC Curve Image Processing, Computer-Assisted Triple Negative Breast Neoplasms Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Female Aged Adult Middle Aged Feasibility Studies Receptor, ErbB-2 Mastectomy, Segmental Neoadjuvant Therapy Magnetic Resonance Imaging Neoplasm Staging Breast Humans Machine Learning Retrospective Studies
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Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes.

Computers in biology and medicine Oct 16, 2018
OBJECTIVE: Metformin is the preferred first-line medication for management of type 2 diabetes and prediabetes. However, over a third of patients experience primary or secondary therapeutic failure. We developed machine learning models to predict whic...
Humans Adolescent Blood Glucose Aged Diabetes Mellitus, Type 2 ROC Curve Young Adult Machine Learning Hypoglycemic Agents Decision Support Systems, Clinical Adult Precision Medicine Models, Statistical Male Retrospective Studies Middle Aged Metformin Female
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Validation of deep-learning-based triage and acuity score using a large national dataset.

PloS one Oct 15, 2018
AIM: Triage is important in identifying high-risk patients amongst many less urgent patients as emergency department (ED) overcrowding has become a national crisis recently. This study aims to validate that a Deep-learning-based Triage and Acuity Sco...
Adult Male Area Under Curve Middle Aged Humans Republic of Korea Cohort Studies Severity of Illness Index Emergency Service, Hospital Databases, Factual Hospital Mortality Deep Learning Female Risk ROC Curve Retrospective Studies Reproducibility of Results Emergency Medicine Triage Aged
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Multi-Channel Convolutional Neural Networks Architecture Feeding for Effective EEG Mental Tasks Classification.

Sensors (Basel, Switzerland) Oct 14, 2018
Mental tasks classification is increasingly recognized as a major challenge in the field of EEG signal processing and analysis. State-of-the-art approaches face the issue of spatially unstable structure of highly noised EEG signals. To address this p...
Humans Neural Networks, Computer Brain-Computer Interfaces Algorithms ROC Curve Electroencephalography Signal Processing, Computer-Assisted
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Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images.

American journal of ophthalmology Oct 12, 2018
PURPOSE: We sought to construct and evaluate a deep learning (DL) model to diagnose early glaucoma from spectral-domain optical coherence tomography (OCT) images.
Visual Fields Visual Field Tests Transfer, Psychology Glaucoma, Open-Angle Gonioscopy Tomography, Optical Coherence Datasets as Topic Nerve Fibers Retinal Ganglion Cells Aged Humans Adult Male Glaucoma Sensitivity and Specificity Middle Aged Female Intraocular Pressure Deep Learning Reproducibility of Results ROC Curve Area Under Curve
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