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Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Social media are important platforms for risk communication during public health crises. Effective dissemination of accurate, relevant, and up-to-date health information is important for the public to raise awareness and develop risk management strat...
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Disease Outbreaks Zika Virus Infection Social Media Risk Information Dissemination Public Health Practice Humans Consumer Health Information Zika Virus Machine Learning Communication
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Inferring Clinical Correlations from EEG Reports with Deep Neural Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Successful diagnosis and management of neurological dysfunction relies on proper communication between the neurologist and the primary physician (or other specialists). Because this communication is documented within medical records, the ability to a...
Electroencephalography Nervous System Diseases Neurology Humans Female Male Deep Learning Models, Neurological Natural Language Processing
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Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Social networks, such as Twitter, have become important sources for active monitoring of user-reported adverse drug reactions (ADRs). Automatic extraction of ADR information can be crucial for healthcare providers, drug manufacturers, and consumers. ...
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Crowdsourcing Natural Language Processing Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Information Storage and Retrieval Semantics Terminology as Topic Unified Medical Language System Humans Software Algorithms Social Media
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Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Over 15% of young people with autism spectrum disorders (ASD) will contemplate or attempt suicide during adolescence. Yet, there is limited evidence concerning risk factors for suicidality in childhood ASD. Electronic health records (EHRs) can be use...
Autism Spectrum Disorder Electronic Health Records Risk Factors Adolescent Humans Data Analysis Information Storage and Retrieval London Suicidal Ideation Natural Language Processing Datasets as Topic
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Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Advanced regression and machine learning models can provide personalized risk predictions to support clinical decision-making. We aimed to understand whether modeling methods impact the tendency of calibration to deteriorate as patient populations sh...
Hospital Mortality Area Under Curve Humans Logistic Models Calibration United States Department of Veterans Affairs Female Proportional Hazards Models Neural Networks, Computer United States Risk Adult Machine Learning Models, Statistical Hospitals, Veterans Male
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Predicting Inpatient Acute Kidney Injury over Different Time Horizons: How Early and Accurate?

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Incidence of Acute Kidney Injury (AKI) has increased dramatically over the past two decades due to rising prevalence of comorbidities and broadening repertoire of nephrotoxic medications. Hospitalized patients with AKI are at higher risk for complica...
Adult Male Middle Aged Models, Theoretical Academic Medical Centers Female Risk Factors Hospitalization Young Adult Humans Machine Learning Acute Kidney Injury Electronic Health Records
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Deep Learning Solutions for Classifying Patients on Opioid Use.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Opioid analgesics, as commonly prescribed medications used for relieving pain in patients, are especially prevalent in US these years. However, an increasing amount of opioid misuse and abuse have caused lots of consequences. Researchers and clinicia...
Humans Neural Networks, Computer Deep Learning Young Adult Adolescent Adult Electronic Health Records Opioid-Related Disorders Analgesics, Opioid Male Female Middle Aged Datasets as Topic Aged Practice Patterns, Physicians' Drug Prescriptions
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Detecting Evidence of Intra-abdominal Surgical Site Infections from Radiology Reports Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Free-text reports in electronic health records (EHRs) contain medically significant information - signs, symptoms, findings, diagnoses - recorded by clinicians during patient encounters. These reports contain rich clinical information which can be le...
Humans Machine Learning Radiology Information Systems Vocabulary, Controlled Electronic Health Records Radiography Abdomen Surgical Wound Infection Natural Language Processing Datasets as Topic Reference Standards
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Creating Clinical Fuzzy Automata with Fuzzy Arden Syntax.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Formal constructs for fuzzy sets and fuzzy logic are incorporated into Arden Syntax version 2.9 (Fuzzy Arden Syntax). With fuzzy sets, the relationships between measured or observed data and linguistic terms are expressed as degrees of compatibility ...
Respiratory Distress Syndrome Programming Languages Linguistics Software Design Humans Software Fuzzy Logic
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Intelligent Word Embeddings of Free-Text Radiology Reports.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Radiology reports are a rich resource for advancing deep learning applications in medicine by leveraging the large volume of data continuously being updated, integrated, and shared. However, there are significant challenges as well, largely due to th...
Datasets as Topic Semantics Intracranial Hemorrhages Radiology Information Systems Humans Machine Learning Electronic Health Records Natural Language Processing
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