AIMC Topic: Big Data

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Predicting of anaphylaxis in big data EMR by exploring machine learning approaches.

Journal of biomedical informatics Sep 25, 2018
Anaphylaxis is a life-threatening allergic reaction that occurs suddenly after contact with an allergen. Epidemiological studies about anaphylaxis are very important in planning and evaluating new strategies that prevent this reaction, but also in pr...
Medical Informatics Linear Models Anaphylaxis Cluster Analysis Decision Making Regression Analysis Neural Networks, Computer Machine Learning Algorithms Electronic Health Records Language Big Data Humans
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Digital diabetes: Perspectives for diabetes prevention, management and research.

Diabetes & metabolism Sep 19, 2018
Digital medicine, digital research and artificial intelligence (AI) have the power to transform the field of diabetes with continuous and no-burden remote monitoring of patients' symptoms, physiological data, behaviours, and social and environmental ...
Big Data Diabetes Mellitus Monitoring, Physiologic Humans Artificial Intelligence Biomedical Research Telemedicine Data Interpretation, Statistical Inventions Internet
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Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris.

Journal of diabetes science and technology Sep 5, 2018
In the future artificial intelligence (AI) will have the potential to improve outcomes diabetes care. With the creation of new sensors for physiological monitoring sensors and the introduction of smart insulin pens, novel data relationships based on ...
Genotype Computational Biology Artificial Intelligence Diabetes Mellitus, Type 1 Phenotype Precision Medicine Big Data Language Ethnicity Decision Support Systems, Clinical Decision Making Humans Reproducibility of Results Data Collection Healthcare Disparities Public Health Diabetes Mellitus, Type 2 Racial Groups Access to Information
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Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review.

Computers in biology and medicine Aug 20, 2018
PURPOSE OF REVIEW: Atherosclerosis is the leading cause of cardiovascular disease (CVD) and stroke. Typically, atherosclerotic calcium is found during the mature stage of the atherosclerosis disease. It is therefore often a challenge to identify and ...
Carotid Arteries Plaque, Atherosclerotic Carotid Artery Diseases Calcium Image Interpretation, Computer-Assisted Big Data Multimodal Imaging Humans Ultrasonography, Interventional Machine Learning Risk Assessment
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GPU-DAEMON: GPU algorithm design, data management & optimization template for array based big omics data.

Computers in biology and medicine Aug 16, 2018
In the age of ever increasing data, faster and more efficient data processing algorithms are needed. Graphics Processing Units (GPU) are emerging as a cost-effective alternative architecture for high-end computing. The optimal design of GPU algorithm...
Machine Learning Big Data Models, Theoretical Electronic Data Processing
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Uncertainty, imprecision, and many-valued logics in protein bioinformatics.

Mathematical biosciences Aug 14, 2018
Understanding proteins, their structures, functions, mutual interactions, activity in cellular reactions, interactions with drugs, and expression in body cells is a key to efficient medical diagnosis, drug production, and treatment of patients. Machi...
Big Data Computational Biology Fuzzy Logic Proteins Uncertainty
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Omics, big data and machine learning as tools to propel understanding of biological mechanisms and to discover novel diagnostics and therapeutics.

Metabolism: clinical and experimental Aug 8, 2018
Big Data Humans Computational Biology Machine Learning Biomedical Research
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Subject Matter Knowledge in the Age of Big Data and Machine Learning.

JAMA network open Aug 3, 2018
Big Data Adult Humans Obesity Prevalence Machine Learning Built Environment Deep Learning
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Big data and machine learning in critical care: Opportunities for collaborative research.

Medicina intensiva Aug 2, 2018
The introduction of clinical information systems (CIS) in Intensive Care Units (ICUs) offers the possibility of storing a huge amount of machine-ready clinical data that can be used to improve patient outcomes and the allocation of resources, as well...
Spain Interdisciplinary Research Big Data Critical Care Humans Machine Learning Databases, Factual Critical Illness
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Current trends of digital solutions for diabetes management.

Diabetes & metabolic syndrome Jul 29, 2018
Industry 4.0 is an updated concept of smart production, which is identified with the fourth industrial revolution and the emergence of cyber-physical systems. Industry 4.0 is the next stage in the digitization of productions and industries, where suc...
Diabetes Mellitus Humans Internet Artificial Intelligence Disease Management Delivery of Health Care Machine Learning Big Data
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