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Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.

Annals of the American Thoracic Society Jul 1, 2018
RATIONALE: Patients transferred from the intensive care unit to the wards who are later readmitted to the intensive care unit have increased length of stay, healthcare expenditure, and mortality compared with those who are never readmitted. Improving...
Humans Machine Learning Retrospective Studies Critical Illness Intensive Care Units Illinois Risk Assessment Time Factors ROC Curve Follow-Up Studies Patient Readmission Electronic Health Records Female Male Middle Aged
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Deep-learning Classifier With an Ultrawide-field Scanning Laser Ophthalmoscope Detects Glaucoma Visual Field Severity.

Journal of glaucoma Jul 1, 2018
PURPOSE: To evaluate the accuracy of detecting glaucoma visual field defect severity using deep-learning (DL) classifier with an ultrawide-field scanning laser ophthalmoscope.
Image Interpretation, Computer-Assisted Visual Fields Visual Field Tests Ophthalmoscopes Severity of Illness Index Deep Learning Microscopy, Confocal Vision Disorders Cross-Sectional Studies Intraocular Pressure Male Middle Aged Humans Female Glaucoma Reproducibility of Results Retrospective Studies Aged Adult Sensitivity and Specificity
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Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization.

Medical image analysis Jul 1, 2018
fMRI data decomposition techniques have advanced significantly from shallow models such as Independent Component Analysis (ICA) and Sparse Coding and Dictionary Learning (SCDL) to deep learning models such Deep Belief Networks (DBN) and Convolutional...
Child, Preschool Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Adult Male Middle Aged Adolescent Autistic Disorder Humans Neural Networks, Computer Software Algorithms Female
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Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay.

Critical care medicine Jul 1, 2018
OBJECTIVES: Early prediction of undesired outcomes among newly hospitalized patients could improve patient triage and prompt conversations about patients' goals of care. We evaluated the performance of logistic regression, gradient boosting machine, ...
Retrospective Studies Intensive Care Units Female Aged Male Humans Machine Learning Decision Support Techniques Patient Care Planning Middle Aged Length of Stay Hospital Mortality Natural Language Processing
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The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

Critical care medicine Jul 1, 2018
OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record data for longitudinal use in hospitalized patients.
Area Under Curve Renal Replacement Therapy Humans Creatinine Acute Kidney Injury Machine Learning Electronic Health Records Algorithms Female Reproducibility of Results Male Middle Aged ROC Curve Models, Statistical
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Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

JAMA neurology Jul 1, 2018
IMPORTANCE: Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived rating score exists to assess motor symptom severity in real-world settings.
Female Aged Male Middle Aged Severity of Illness Index Humans Machine Learning Reaction Time Gait Gait Analysis Voice Dopamine Agents Smartphone Mobile Applications Parkinson Disease Postural Balance
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False-positive Troponin I Assay elevation due to occult Mixed Cryoglobulinemic Vasculitis.

Reviews in cardiovascular medicine Jun 30, 2018
A 53-year-old man with active hepatitis C and cirrhosis presented with a vasculitic rash, myalgias, and fatigue, and was found to have an elevated cardiac troponin I up to 15.7 ng/mL with normal electrocardiogram, echocardiogram, and coronary angiogr...
Heart Diseases Troponin I Cryoglobulinemia False Positive Reactions Liver Cirrhosis, Alcoholic Humans Middle Aged Rheumatoid Factor Predictive Value of Tests Biomarkers Up-Regulation Diagnostic Errors Immunoassay Vasculitis Male Hepatitis C
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Deep learning enhancement of infrared face images using generative adversarial networks.

Applied optics Jun 20, 2018
This work presents a deep learning framework based on the use of deep convolutional generative adversarial networks (DCGAN) for infrared face image super-resolution. We use DCGAN for upscaling the images by a factor of 4×4, starting at a size of 16×1...
Male Image Processing, Computer-Assisted Databases as Topic Face Humans Neural Networks, Computer Infrared Rays Signal-To-Noise Ratio Machine Learning Algorithms Female
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[Prediction of three-dimensional dose distribution in intensity-modulated radiation therapy based on neural network learning].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jun 20, 2018
OBJECTIVE: To establish the association between the geometric anatomical characteristics of the patients and the corresponding three-dimensional (3D) dose distribution of radiotherapy plan via feed-forward back-propagation neural network for clinical...
Prostatic Neoplasms Humans Neural Networks, Computer Radiotherapy Planning, Computer-Assisted Male Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiosurgery
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Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion.

Spine Jun 15, 2018
STUDY DESIGN: A cross-sectional database study.
Middle Aged Postoperative Complications Spinal Fusion Lumbar Vertebrae Prognosis Female Cross-Sectional Studies Male Humans Neural Networks, Computer Machine Learning Databases, Factual
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