AIMC Topic: Humans

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A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
We propose a scalable computerized approach for large-scale inference of Liver Imaging Reporting and Data System (LI-RADS) final assessment categories in narrative ultrasound (US) reports. Although our model was trained on reports created using a LI-...
Carcinoma, Hepatocellular Diagnosis, Computer-Assisted Ultrasonography Liver Data Systems Liver Neoplasms Humans Radiology Information Systems Machine Learning Algorithms
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Generalized Extraction and Classification of Span-Level Clinical Phrases.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Much of the critical information in a patient's electronic health record (EHR) is hidden in unstructured text. As such, there is an increasing role for automated text extraction and summarization to make this information available in a way that can b...
Humans Electronic Health Records Natural Language Processing Information Storage and Retrieval
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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...
Male Middle Aged Diagnosis, Computer-Assisted Risk Factors Unified Medical Language System Aged Radiography, Thoracic Adult Electronic Health Records Predictive Value of Tests Humans Female Length of Stay Natural Language Processing Cohort Studies Respiratory Distress Syndrome Area Under Curve Supervised Machine Learning
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Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severity. While some electronic health record (EHR) systems capture PHQ-9 scores in a structured format, unstructured clinical notes remain the only source ...
Information Storage and Retrieval Depressive Disorder Patient Health Questionnaire Adult Severity of Illness Index Natural Language Processing Humans Electronic Health Records
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Improving the calling of non-invasive prenatal testing on 13-/18-/21-trisomy by support vector machine discrimination.

PloS one Dec 5, 2018
With the advance of next-generation sequencing (NGS) technologies, non-invasive prenatal testing (NIPT) has been developed and employed in fetal aneuploidy screening on 13-/18-/21-trisomies through detecting cell-free fetal DNA (cffDNA) in maternal b...
Diagnosis, Differential Genetic Testing High-Throughput Nucleotide Sequencing Diagnosis, Computer-Assisted Support Vector Machine Sequence Analysis, DNA Prenatal Diagnosis Trisomy 13 Syndrome Trisomy 18 Syndrome Down Syndrome False Negative Reactions False Positive Reactions Humans Machine Learning Retrospective Studies Young Adult Adult Pregnancy Female
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Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition.

PloS one Dec 5, 2018
Pneumonia is one of the major causes of child mortality, yet with a timely diagnosis, it is usually curable with antibiotic therapy. In many developing regions, diagnosing pneumonia remains a challenge, due to shortages of medical resources. Lung ult...
Humans Ultrasonography Image Processing, Computer-Assisted Pneumonia Lung Neural Networks, Computer Child, Preschool Male Child Infant
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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).
Humans Neural Networks, Computer Retrospective Studies Child Predictive Value of Tests Lower Urinary Tract Symptoms Male Urethral Obstruction Adolescent Child, Preschool
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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...
Male Risk Assessment Adolescent Retrospective Studies Child Injury Severity Score Humans Female Patient Selection Sensitivity and Specificity Time Factors Survival Analysis Child, Preschool Brain Injuries, Traumatic Blood Transfusion Hemorrhage Predictive Value of Tests Registries
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A comparison of deep networks with ReLU activation function and linear spline-type methods.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2018
Deep neural networks (DNNs) generate much richer function spaces than shallow networks. Since the function spaces induced by shallow networks have several approximation theoretic drawbacks, this explains, however, not necessarily the success of deep ...
Machine Learning Humans Biometry Neural Networks, Computer
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What Can We Learn from the RSNA Pediatric Bone Age Machine Learning Challenge?

Radiology Dec 4, 2018
Child Humans Neural Networks, Computer Machine Learning
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