AIMC Topic: California

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Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.

PloS one Feb 22, 2019
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures requiring patients to self-report limitations are time-consuming and may be considered intrusive by some. This makes widespread classification of patie...
Female Male Diabetes Mellitus Natural Language Processing Humans Machine Learning Computer Security Demography Health Literacy Electronic Mail Physician-Patient Relations Data Mining Physicians, Primary Care California
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A machine learning approach to investigate potential risk factors for gastroschisis in California.

Birth defects research Dec 26, 2018
BACKGROUND: To generate new leads about risk factors for gastroschisis, a birth defect that has been increasing in prevalence over time, we performed an untargeted data mining statistical approach.
Pregnancy Gastroschisis Female Infant, Newborn Risk Factors Adult Humans Logistic Models Machine Learning California Databases, Factual Retrospective Studies
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Identifying Cases of Metastatic Prostate Cancer Using Machine Learning on Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Cancer stage is rarely captured in structured form in the electronic health record (EHR). We evaluate the performance of a classifier, trained on structured EHR data, in identifying prostate cancer patients with metastatic disease. Using EHR data for...
Neoplasm Metastasis Male Information Storage and Retrieval Cohort Studies Medical Informatics Humans California Prostatic Neoplasms Machine Learning International Classification of Diseases Neoplasm Staging Electronic Health Records Proof of Concept Study
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Space-time trends of PM constituents in the conterminous United States estimated by a machine learning approach, 2005-2015.

Environment international Nov 7, 2018
Particulate matter with aerodynamic diameter less than 2.5 μm (PM) is a complex mixture of chemical constituents emitted from various emission sources or through secondary reactions/processes; however, PM is regulated mostly based on its total mass c...
Humans Machine Learning Carbon Air Pollutants Particulate Matter New York Cities United States Environmental Monitoring California Nitrogen Oxides Transportation
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Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women.

Annals of epidemiology Aug 24, 2018
PURPOSE: Spontaneous preterm birth is a leading cause of perinatal mortality in the United States, occurring disproportionately among non-Hispanic black women compared to other race-ethnicities. Clinicians lack tools to identify first-time mothers at...
Black or African American Birth Certificates White People Gestational Age California Retrospective Studies Pregnancy Female Premature Birth Parity ROC Curve Predictive Value of Tests Humans Machine Learning
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Earthquake prediction model using support vector regressor and hybrid neural networks.

PloS one Jul 5, 2018
Earthquake prediction has been a challenging research area, where a future occurrence of the devastating catastrophe is predicted. In this work, sixty seismic features are computed through employing seismological concepts, such as Gutenberg-Richter l...
Humans Neural Networks, Computer Algorithms Computer Simulation Support Vector Machine California Chile Earthquakes
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Using machine learning to evaluate treatment effects in multiple-group interrupted time series analysis.

Journal of evaluation in clinical practice Jun 11, 2018
RATIONALE, AIMS, AND OBJECTIVES: Interrupted time series analysis (ITSA) is a popular evaluation methodology in which a single treatment unit's outcome is studied over time, and the intervention is expected to "interrupt" the level and/or trend of th...
Interrupted Time Series Analysis Smoking Prevention Humans Propensity Score Machine Learning Program Evaluation Research Design Commerce Treatment Outcome Evaluation Studies as Topic Discriminant Analysis California
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Modeling when and where a secondary accident occurs.

Accident; analysis and prevention Feb 2, 2018
The occurrence of secondary accidents leads to traffic congestion and road safety issues. Secondary accident prevention has become a major consideration in traffic incident management. This paper investigates the location and time of a potential seco...
Neural Networks, Computer Humans Support Vector Machine Accidents, Traffic California
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Relationship of femoral artery ultrasound measures of atherosclerosis with chronic kidney disease.

Journal of vascular surgery Dec 22, 2017
BACKGROUND: Chronic kidney disease (CKD) is strongly associated with peripheral artery disease (PAD). Detection of subclinical PAD may allow early interventions for or prevention of PAD in persons with CKD. Whether the presence of atherosclerotic pla...
Cross-Sectional Studies Male Prevalence Renal Insufficiency, Chronic Humans Prospective Studies Glomerular Filtration Rate California Atherosclerosis Plaque, Atherosclerotic Female Ultrasonography, Doppler Femoral Artery Aged
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Critical dynamics in population vaccinating behavior.

Proceedings of the National Academy of Sciences of the United States of America Dec 11, 2017
Vaccine refusal can lead to renewed outbreaks of previously eliminated diseases and even delay global eradication. Vaccinating decisions exemplify a complex, coupled system where vaccinating behavior and disease dynamics influence one another. Such s...
Measles-Mumps-Rubella Vaccine Male Social Media California Mass Vaccination Machine Learning Databases, Factual Female Humans
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