Humans

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Detecting Opioid-Related Aberrant Behavior using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
The United States is in the midst of a prescription opioid epidemic, with the number of yearly opioid-related overdose deaths increasing almost fourfold since 2000. To more effectively prevent unintentional opioid overdoses, the medical profession re...
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Analgesics, Opioid Opioid-Related Disorders Datasets as Topic False Positive Reactions Electronic Health Records Support Vector Machine Population Surveillance Natural Language Processing Humans
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Representation of Social History Factors Across Age Groups: A Topic Analysis of Free-Text Social Documentation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
As individuals age, there is potential for dramatic changes in the social and behavioral determinants that affect health status and outcomes. The importance of these determinants has been increasingly recognized in clinical decision-making. We sought...
Documentation Social Determinants of Health Health Status Age Factors Natural Language Processing Electronic Health Records Humans Aging
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A hybrid Neural Network Model for Joint Prediction of Presence and Period Assertions of Medical Events in Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
In this paper, we propose a novel neural network architecture for clinical text mining. We formulate this hybrid neural network model (HNN), composed of recurrent neural network and deep residual network, to jointly predict the presence and period as...
Neural Networks, Computer Electronic Health Records Neoplasms Data Mining Deep Learning Natural Language Processing Humans
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A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Gleason grading of histological images is important in risk assessment and treatment planning for prostate cancer patients. Much research has been done in classifying small homogeneous cancer regions within histological images. However, semi-supervis...
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Diagnosis, Computer-Assisted Deep Learning Support Vector Machine Prostatic Neoplasms Machine Learning Male Risk Assessment Prostatectomy Neoplasm Grading Prostate Semantics Humans
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Leveraging existing corpora for de-identification of psychiatric notes using domain adaptation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
De-identification of clinical notes is a special case of named entity recognition. Supervised machine-learning (ML) algorithms have achieved promising results for this task. However, ML-based de-identification systems often require annotating a large...
Humans Natural Language Processing Outpatients Psychiatry Data Anonymization Patient Discharge Summaries Electronic Health Records Machine Learning Datasets as Topic Diabetes Mellitus Algorithms
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Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Classifying relations between pairs of medical concepts in clinical texts is a crucial task to acquire empirical evidence relevant to patient care. Due to limited labeled data and extremely unbalanced class distributions, medical relation classificat...
Humans Algorithms Electronic Health Records Information Storage and Retrieval Cluster Analysis Vocabulary, Controlled Natural Language Processing Supervised Machine Learning
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Differential Data Augmentation Techniques for Medical Imaging Classification Tasks.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Data augmentation is an essential part of training discriminative Convolutional Neural Networks (CNNs). A variety of augmentation strategies, including horizontal flips, random crops, and principal component analysis (PCA), have been proposed and sho...
Deep Learning Mammography Diagnostic Imaging Humans Radiology Information Systems Neural Networks, Computer Data Visualization Datasets as Topic Image Enhancement
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Classifying Acute Ischemic Stroke Onset Time using Deep Imaging Features.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Models have been developed to predict stroke outcomes (e.g., mortality) in attempt to provide better guidance for stroke treatment. However, there is little work in developing classification models for the problem of unknown time-since-stroke (TSS), ...
Sensitivity and Specificity Male Middle Aged Deep Learning Prognosis Female Aged Humans Regression Analysis Machine Learning Area Under Curve ROC Curve Stroke Support Vector Machine Brain Ischemia Magnetic Resonance Imaging
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The Dependence of Machine Learning on Electronic Medical Record Quality.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
There is growing interest in applying machine learning methods to Electronic Medical Records (EMR). Across different institutions, however, EMR quality can vary widely. This work investigated the impact of this disparity on the performance of three a...
Child, Preschool Child Hospital Mortality Hospitals, Pediatric Los Angeles Electronic Health Records Intensive Care Units, Pediatric Humans Infant Logistic Models Machine Learning Adolescent Data Accuracy Algorithms Coronary Care Units
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Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
The clinical, granular data in electronic health record (EHR) systems provide opportunities to improve patient care using informatics retrieval methods. However, it is well known that many methodological obstacles exist in accessing data within EHRs....
Aged Male Middle Aged Postoperative Complications Humans Algorithms Electronic Health Records Patient Outcome Assessment Medical Records Systems, Computerized Erectile Dysfunction Urinary Incontinence Natural Language Processing Prostatic Neoplasms Data Mining
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