AIMC Topic:
Predictive Value of Tests

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Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research.

BMC medical informatics and decision making Dec 12, 2018
BACKGROUND: Accurate predictive modeling in clinical research enables effective early intervention that patients are most likely to benefit from. However, due to the complex biological nature of disease progression, capturing the highly non-linear in...
Neural Networks, Computer Machine Learning Prognosis Breast Neoplasms Risk Assessment Humans Hypertension Predictive Value of Tests
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Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture.

G3 (Bethesda, Md.) Dec 10, 2018
Genomic selection is revolutionizing plant breeding and therefore methods that improve prediction accuracy are useful. For this reason, active research is being conducted to build and test methods from other areas and adapt them to the context of gen...
Predictive Value of Tests Zea mays Triticum Quantitative Trait, Heritable Gene-Environment Interaction Machine Learning Models, Genetic Sequence Analysis, DNA
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A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Acute Respiratory Distress Syndrome (ARDS) is a syndrome of respiratory failure that may be identified using text from radiology reports. The objective of this study was to determine whether natural language processing (NLP) with machine learning per...
Radiography, Thoracic Diagnosis, Computer-Assisted Humans Aged Predictive Value of Tests Length of Stay Electronic Health Records Adult Natural Language Processing Female Cohort Studies Male Area Under Curve Respiratory Distress Syndrome Risk Factors Middle Aged Supervised Machine Learning Unified Medical Language System
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Predicting posterior urethral obstruction in boys with lower urinary tract symptoms using deep artificial neural network.

World journal of urology Dec 4, 2018
PURPOSE: To assess the prediction model for late-presenting posterior urethral valve (PUV) in boys with lower urinary tract symptoms (LUTS) using artificial neural network (ANN).
Adolescent Child, Preschool Child Predictive Value of Tests Lower Urinary Tract Symptoms Humans Neural Networks, Computer Retrospective Studies Male Urethral Obstruction
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Defining Massive Transfusion in Civilian Pediatric Trauma With Traumatic Brain Injury.

The Journal of surgical research Dec 4, 2018
The purpose of this study was to identify an optimal definition of massive transfusion in civilian pediatric trauma with severe traumatic brain injury (TBI) METHODS: Severely injured children (age ≤18 y) with severe TBI in the Trauma Quality Improvem...
Injury Severity Score Sensitivity and Specificity Male Predictive Value of Tests Humans Risk Assessment Child, Preschool Registries Retrospective Studies Child Adolescent Patient Selection Female Blood Transfusion Time Factors Survival Analysis Brain Injuries, Traumatic Hemorrhage
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Deep learning for predicting in-hospital mortality among heart disease patients based on echocardiography.

Echocardiography (Mount Kisco, N.Y.) Dec 4, 2018
BACKGROUND: Heart disease (HD) is the leading cause of global death; there are several mortality prediction models of HD for identifying critically-ill patients and for guiding decision making. The existing models, however, cannot be used during init...
Echocardiography Middle Aged Female Cohort Studies Risk Assessment Humans Reproducibility of Results Deep Learning Hospital Mortality Retrospective Studies Risk Factors Predictive Value of Tests Aged Heart Male Heart Diseases
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Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.

European radiology Nov 30, 2018
OBJECTIVE: To investigate the value of machine learning (ML)-based high-dimensional quantitative texture analysis (qTA) on T2-weighted magnetic resonance imaging (MRI) in predicting response to somatostatin analogues (SA) in acromegaly patients with ...
Male Middle Aged ROC Curve Magnetic Resonance Imaging Pituitary Neoplasms Adenoma Predictive Value of Tests Retrospective Studies Acromegaly Female Somatostatin Humans Reproducibility of Results Machine Learning Young Adult Algorithms Adult
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Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.

PLoS medicine Nov 30, 2018
BACKGROUND: Non-small-cell lung cancer (NSCLC) patients often demonstrate varying clinical courses and outcomes, even within the same tumor stage. This study explores deep learning applications in medical imaging allowing for the automated quantifica...
Neoplasm Staging Adult Radiographic Image Interpretation, Computer-Assisted Male Preliminary Data Humans Female Diagnosis, Computer-Assisted Middle Aged Retrospective Studies Reproducibility of Results Deep Learning Risk Assessment Tomography, X-Ray Computed Risk Factors Lung Neoplasms Clinical Decision-Making Aged Carcinoma, Non-Small-Cell Lung Aged, 80 and over Predictive Value of Tests
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Deep learning and artificial intelligence in radiology: Current applications and future directions.

PLoS medicine Nov 30, 2018
Radiographic Image Interpretation, Computer-Assisted Diffusion of Innovation Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Predictive Value of Tests Humans Radiology
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Impact of a Pharmacist-Led Intervention on 30-Day Readmission and Assessment of Factors Predictive of Readmission in African American Men With Heart Failure.

American journal of men's health Nov 28, 2018
Heart failure (HF) is responsible for more 30-day readmissions than any other condition. Minorities, particularly African American males (AAM), are at much higher risk for readmission than the general population. In this study, demographic, social, a...
Incidence Predictive Value of Tests Heart Failure Patient Readmission Academic Medical Centers Male Middle Aged Risk Assessment Case-Control Studies Black or African American Georgia Pharmacists Humans Machine Learning Prognosis Electronic Health Records Hospitalization Aged Adult
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