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ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Scientific reproducibility is critical for biomedical research as it enables us to advance science by building on previous results, helps ensure the success of increasingly expensive drug trials, and allows funding agencies to make informed decisions...
United States Knowledge Bases National Institutes of Health (U.S.) Sleep Guidelines as Topic Metadata Semantics Humans Biological Ontologies Algorithms Health Services Research Reproducibility of Results Biomedical Research
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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...
United States Adult Models, Statistical Proportional Hazards Models Male Area Under Curve Humans Calibration United States Department of Veterans Affairs Hospital Mortality Neural Networks, Computer Risk Logistic Models Machine Learning Hospitals, Veterans Female
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Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.

Journal of medical systems Apr 10, 2018
Diabetes mellitus is a group of metabolic diseases in which blood sugar levels are too high. About 8.8% of the world was diabetic in 2017. It is projected that this will reach nearly 10% by 2045. The major challenge is that when machine learning-base...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Male Middle Aged Blood Glucose United States Diabetes Mellitus Decision Support Techniques Female Reproducibility of Results Adult Body Weights and Measures Indians, North American Age Distribution Blood Pressure Sex Distribution Data Interpretation, Statistical Bayes Theorem
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Reimagining Clinical Documentation With Artificial Intelligence.

Mayo Clinic proceedings Apr 7, 2018
Artificial Intelligence Electronic Health Records Attitude of Health Personnel United States Humans Natural Language Processing Patient-Centered Care Practice Patterns, Physicians'
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Word embeddings quantify 100 years of gender and ethnic stereotypes.

Proceedings of the National Academy of Sciences of the United States of America Apr 3, 2018
Word embeddings are a powerful machine-learning framework that represents each English word by a vector. The geometric relationship between these vectors captures meaningful semantic relationships between the corresponding words. In this paper, we de...
Internet Ethnicity Minority Groups History, 21st Century Language Culture Humans Newspapers as Topic Female History, 20th Century Machine Learning Social Change Male Religion Occupations United States Stereotyping Racism Sexism
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Prediction of influenza-like illness based on the improved artificial tree algorithm and artificial neural network.

Scientific reports Mar 20, 2018
Because influenza is a contagious respiratory illness that seriously threatens public health, accurate real-time prediction of influenza outbreaks may help save lives. In this paper, we use the Twitter data set and the United States Centers for Disea...
Prevalence Computational Biology United States Influenza, Human Datasets as Topic Centers for Disease Control and Prevention, U.S. Humans Algorithms Neural Networks, Computer Computer Simulation Public Health Disease Outbreaks
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Predictors of firearm violence in urban communities: A machine-learning approach.

Health & place Mar 14, 2018
Interpersonal firearm violence is a leading cause of death and injuries in the United States. Identifying community characteristics associated with firearm violence is important to improve confounder selection and control in health research, to bette...
Age Distribution Poverty Areas Cause of Death Sex Distribution Ethnicity Male Humans Firearms Adolescent Machine Learning Violence Female United States Urban Population
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Robust Machine Learning Variable Importance Analyses of Medical Conditions for Health Care Spending.

Health services research Mar 11, 2018
OBJECTIVE: To propose nonparametric double robust machine learning in variable importance analyses of medical conditions for health spending.
Chronic Disease Health Expenditures Risk Adjustment Demography Humans Female Male United States Machine Learning Databases, Factual
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Is Treatment Readiness Associated With Substance Use Treatment Engagement? An Exploratory Study.

Journal of drug education Feb 27, 2018
With nearly 8.2% of Americans experiencing substance use disorders (SUDs), a need exists for effective SUD treatment and for strategies to assist treatment participants to complete treatment programs (Chandler, Fletcher, & Volkow, 2009). The purpose ...
Patient Acceptance of Health Care United States Substance-Related Disorders Patient Compliance Knowledge Bases Humans Male Female Middle Aged Young Adult Adolescent Adult Child
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Development and Validation of a Natural Language Processing Tool to Identify Patients Treated for Pneumonia across VA Emergency Departments.

Applied clinical informatics Feb 21, 2018
BACKGROUND: Identifying pneumonia using diagnosis codes alone may be insufficient for research on clinical decision making. Natural language processing (NLP) may enable the inclusion of cases missed by diagnosis codes.
Humans Reproducibility of Results Cohort Studies Pneumonia ROC Curve Signal Processing, Computer-Assisted Natural Language Processing United States Department of Veterans Affairs United States Emergency Service, Hospital
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