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Population Surveillance

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Using EHRs and Machine Learning for Heart Failure Survival Analysis.

Studies in health technology and informatics 26262006
"Heart failure (HF) is a frequent health problem with high morbidity and mortality, increasing prevalence and escalating healthcare costs" [1]. By calculating a HF survival risk score based on patient-specific characteristics from Electronic Health R...
Aged Data Mining Death, Sudden, Cardiac Electronic Health Records Female Heart Failure Humans Machine Learning Male Minnesota Natural Language Processing Pattern Recognition, Automated Population Surveillance Prevalence Risk Factors Survival Analysis
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Exploring brand-name drug mentions on Twitter for pharmacovigilance.

Studies in health technology and informatics 25991101
Twitter has been proposed by several studies as a means to track public health trends such as influenza and Ebola outbreaks by analyzing user messages in order to measure different population features and interests. In this work we analyze the number...
Adverse Drug Reaction Reporting Systems Data Mining Natural Language Processing Pattern Recognition, Automated Pharmacovigilance Population Surveillance Prescription Drugs Social Media Terminology as Topic Vocabulary, Controlled
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Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset.

PloS one 25938675
For years, we have relied on population surveys to keep track of regional public health statistics, including the prevalence of non-communicable diseases. Because of the cost and limitations of such surveys, we often do not have the up-to-date data o...
Behavior Databases as Topic Demography Humans Machine Learning Population Surveillance Prevalence Public Health Reproducibility of Results Risk Factors Surveys and Questionnaires United States
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Predictive modeling in pediatric traumatic brain injury using machine learning.

BMC medical research methodology 25886156
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured ch...
Accidents, Traffic Algorithms Brain Injuries Case-Control Studies Child Child, Preschool Databases, Factual Female Humans Injury Severity Score Logistic Models Machine Learning Male Models, Theoretical Multivariate Analysis Population Surveillance Retrospective Studies ROC Curve Skull Fractures Tomography, X-Ray Computed Unconsciousness Vomiting
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Machine learning approaches to analysing textual injury surveillance data: a systematic review.

Accident; analysis and prevention 25795924
OBJECTIVE: To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data.
Adolescent Adult Aged Aged, 80 and over Child Child, Preschool Data Mining Female Humans Infant Infant, Newborn Machine Learning Male Middle Aged Models, Theoretical Population Surveillance Statistics as Topic Wounds and Injuries Young Adult
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Natural Language Processing for Real-Time Catheter-Associated Urinary Tract Infection Surveillance: Results of a Pilot Implementation Trial.

Infection control and hospital epidemiology 26022228
BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark. To streamline conventional detection methods, an electronic surveillance system augmented with natural language processing (NLP), which gathers data ...
Algorithms Catheter-Related Infections Catheters, Indwelling Computer Systems Documentation Electronic Health Records Humans Intensive Care Units Natural Language Processing Pilot Projects Population Surveillance Predictive Value of Tests Tertiary Care Centers Urinary Tract Infections
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Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

PLoS computational biology 26513245
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forecast estimates of influenza activity in the US by leveraging data from multiple data sources including: Google searches, Twitter microblogs, nearly rea...
Data Mining Database Management Systems Databases, Factual Humans Influenza, Human Machine Learning Natural Language Processing Pattern Recognition, Automated Population Surveillance Prevalence Risk Assessment Search Engine Seasons Social Media United States Vocabulary, Controlled
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Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample.

PloS one 27935995
BACKGROUND: Depression is commonly comorbid with many other somatic diseases and symptoms. Identification of individuals in clusters with comorbid symptoms may reveal new pathophysiological mechanisms and treatment targets. The aim of this research w...
Adult Cluster Analysis Community Networks Comorbidity Cross-Sectional Studies Depression Depressive Disorder Female Gastrointestinal Diseases Humans Logistic Models Machine Learning Male Middle Aged Nutrition Surveys Population Surveillance Self Report
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Harnessing information from injury narratives in the 'big data' era: understanding and applying machine learning for injury surveillance.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention 26728004
OBJECTIVE: Vast amounts of injury narratives are collected daily and are available electronically in real time and have great potential for use in injury surveillance and evaluation. Machine learning algorithms have been developed to assist in identi...
Accidents, Occupational Data Mining Databases, Factual Humans Machine Learning Models, Theoretical Occupational Injuries Population Surveillance
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Salmonella infections modelling in Mississippi using neural network and geographical information system (GIS).

BMJ open 26940103
OBJECTIVES: Mississippi (MS) is one of the southern states with high rates of foodborne infections. The objectives of this paper are to determine the extent of Salmonella and Escherichia coli infections in MS, and determine the Salmonella infections ...
Disease Outbreaks Foodborne Diseases Geographic Information Systems Humans Mississippi Models, Statistical Neural Networks, Computer Population Surveillance Regression Analysis Salmonella Infections Social Class Socioeconomic Factors
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