AIMC Topic: Predictive Value of Tests

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Prediction and evaluation of the severity of acute respiratory distress syndrome following severe acute pancreatitis using an artificial neural network algorithm model.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 24, 2018
BACKGROUND: To predict the risk and severity of acute respiratory distress syndrome (ARDS) following severe acute pancreatitis (SAP) by artificial neural networks (ANNs) model.
Female Reproducibility of Results Risk Factors Adult Male Middle Aged Risk Assessment Humans Severity of Illness Index Neural Networks, Computer Decision Support Techniques Prognosis Respiratory Distress Syndrome Predictive Value of Tests Pancreatitis
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PASNet: pathway-associated sparse deep neural network for prognosis prediction from high-throughput data.

BMC bioinformatics Dec 17, 2018
BACKGROUND: Predicting prognosis in patients from large-scale genomic data is a fundamentally challenging problem in genomic medicine. However, the prognosis still remains poor in many diseases. The poor prognosis may be caused by high complexity of ...
Predictive Value of Tests Glioblastoma Area Under Curve High-Throughput Nucleotide Sequencing Neural Networks, Computer Software Prognosis Biomarkers, Tumor Humans
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Predicting instructed simulation and dissimulation when screening for depressive symptoms.

European archives of psychiatry and clinical neuroscience Dec 12, 2018
The intentional distortion of test results presents a fundamental problem to self-report-based psychiatric assessment, such as screening for depressive symptoms. The first objective of the study was to clarify whether depressed patients like healthy ...
Supervised Machine Learning Young Adult Malingering Adult Depression Male Psychometrics Humans Deception Female Predictive Value of Tests
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Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study.

AJR. American journal of roentgenology Dec 12, 2018
OBJECTIVE: The purpose of this study is to determine whether a convolutional neural network (CNN) can predict the maximum standardized uptake value (SUV) of lymph nodes in patients with cancer using the unenhanced CT images from a PET/CT examination,...
Radiopharmaceuticals Fluorodeoxyglucose F18 Proof of Concept Study Imaging, Three-Dimensional Lymphatic Metastasis Predictive Value of Tests Positron Emission Tomography Computed Tomography Retrospective Studies Tomography, X-Ray Computed Aged Aged, 80 and over Young Adult Adult Middle Aged Neoplasms Humans Neural Networks, Computer
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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...
Humans Risk Assessment Hypertension Predictive Value of Tests Neural Networks, Computer Machine Learning Prognosis Breast Neoplasms
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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...
Diagnosis, Computer-Assisted Predictive Value of Tests Aged Length of Stay Humans Adult Unified Medical Language System Natural Language Processing Electronic Health Records Male Cohort Studies Area Under Curve Radiography, Thoracic Female Middle Aged Respiratory Distress Syndrome Supervised Machine Learning Risk Factors
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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).
Child, Preschool Child Predictive Value of Tests Lower Urinary Tract Symptoms Neural Networks, Computer Retrospective Studies Male Adolescent Urethral Obstruction Humans
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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...
Patient Selection Survival Analysis Hemorrhage Female Injury Severity Score Sensitivity and Specificity Male Risk Assessment Blood Transfusion Adolescent Humans Retrospective Studies Brain Injuries, Traumatic Time Factors Child, Preschool Predictive Value of Tests Child Registries
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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...
Humans Risk Assessment Deep Learning Cohort Studies Aged Hospital Mortality Male Predictive Value of Tests Echocardiography Heart Middle Aged Heart Diseases Retrospective Studies Female Reproducibility of Results Risk Factors
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