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Machine-learning algorithms to identify key biosecurity practices and factors associated with breeding herds reporting PRRS outbreak.
Preventive veterinary medicine
Aug 20, 2019
Investments in biosecurity practices are made by producers to reduce the likelihood of introducing pathogens such as porcine reproductive and respiratory syndrome virus (PRRSv). The assessment of biosecurity practices in breeding herds is usually don...
Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses.
Transboundary and emerging diseases
Aug 19, 2019
Influenza A viruses are one of the most significant viral groups globally with substantial impacts on human, domestic animal and wildlife health. Wild birds are the natural reservoirs for these viruses, and active surveillance within wild bird popula...
Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome.
The American journal of cardiology
Aug 8, 2019
This study investigated the impact of coronary CT angiography (cCTA)-derived plaque markers and machine-learning-based CT-derived fractional flow reserve (CT-FFR) to identify adverse cardiac outcome. Data of 82 patients (60 ± 11 years, 62% men) who u...
Follow-Up Studies
Coronary Angiography
Coronary Vessels
Multidetector Computed Tomography
Plaque, Atherosclerotic
Middle Aged
Severity of Illness Index
ROC Curve
United States
Computed Tomography Angiography
Coronary Stenosis
Fractional Flow Reserve, Myocardial
Humans
Machine Learning
Prognosis
Retrospective Studies
Female
Survival Rate
Male
Trends in Alzheimer's Disease Research Based upon Machine Learning Analysis of PubMed Abstracts.
International journal of biological sciences
Aug 6, 2019
About 29.8 million people worldwide had been diagnosed with Alzheimer's disease (AD) in 2015, and the number is projected to triple by 2050. In 2018, AD was the fifth leading cause of death in Americans with 65 years of age or older, but the progress...
Psychological reactions to human versus robotic job replacement.
Nature human behaviour
Aug 5, 2019
Advances in robotics and artificial intelligence are increasingly enabling organizations to replace humans with intelligent machines and algorithms. Forecasts predict that, in the coming years, these new technologies will affect millions of workers i...
Prevalence of Financial Considerations Documented in Primary Care Encounters as Identified by Natural Language Processing Methods.
JAMA network open
Aug 2, 2019
IMPORTANCE: Quantifying patient-physician cost conversations is challenging but important as out-of-pocket spending by US patients increases and patients are increasingly interested in discussing costs with their physicians.
Development and validation of 15-month mortality prediction models: a retrospective observational comparison of machine-learning techniques in a national sample of Medicare recipients.
BMJ open
Jul 16, 2019
OBJECTIVE: The objective is to develop and validate a predictive model for 15-month mortality using a random sample of community-dwelling Medicare beneficiaries.
Decomposition feature selection with applications in detecting correlated biomarkers of bipolar disorders.
Statistics in medicine
Jul 15, 2019
Feature selection is an important initial step of exploratory analysis in biomedical studies. Its main objective is to eliminate the covariates that are uncorrelated with the outcome. For highly correlated covariates, traditional feature selection me...
Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.
Journal of the American Academy of Dermatology
Jul 12, 2019
BACKGROUND: Computer vision has promise in image-based cutaneous melanoma diagnosis but clinical utility is uncertain.
Demographic, psychological, behavioral, and cognitive correlates of BMI in youth: Findings from the Adolescent Brain Cognitive Development (ABCD) study.
Psychological medicine
Jul 10, 2019
BACKGROUND: Previous research has implicated demographic, psychological, behavioral, and cognitive variables in the onset and maintenance of pediatric overweight/obesity. No adequately-powered study has simultaneously modeled these variables to asses...
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