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Improving child health through Big Data and data science
AbstractChild health is defined by a complex, dynamic network of genetic, cultural, nutritional, infectious, and environmental determinants at...
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Challenges and Opportunities in Big Data Science to Address Health Inequities and Focus the HIV Response
Purpose of ReviewBig Data Science can be used to pragmatically guide the allocation of resources within the context of national HIV programs and...
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Big Data und künstliche Intelligenz in der Anästhesie
Big data and artificial intelligence are buzzwords that everyone is talking about and yet always provide a touch of science fiction to the scenery....
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Zwischen fachlichen Standards und wilder Innovation: Zur Begutachtung von Big Data- und KI-Projekten in Forschungs-Ethikkommissionen
Definition of the problemIn medicine, as well as in other disciplines, computer science expertise is becoming increasingly important. This requires...
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Big Data in cardiac surgery: real world and perspectives
Big Data, and the derived analysis techniques, such as artificial intelligence and machine learning, have been considered a revolution in the modern...
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Utilizing big data from electronic health records in pediatric clinical care
AbstractBig data has the capacity to transform both pediatric healthcare delivery and research, but its potential has yet to be fully realized....
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The role of big data management, data registries, and machine learning algorithms for optimizing safe definitive surgery in trauma: a review
Digital data processing has revolutionized medical documentation and enabled the aggregation of patient data across hospitals. Initiatives such as...
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Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion
Randomized controlled trials (RCTs) have traditionally been considered the gold standard for medical evidence. However, in light of emerging...
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Correlation Aware Relevance-Based Semantic Index for Clinical Big Data Repository
In this paper, we focus on indexing mechanisms for unstructured clinical big integrated data repository systems. Clinical data is unstructured and...
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Epidemiology of idiopathic sudden sensorineural hearing loss in the era of big data
ObjectivesIdiopathic sudden sensorineural hearing loss (ISSNHL) is a medical emergency, and delayed treatment can have permanent sequelae. However,...
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Comorbidity increases the risk of pulmonary tuberculosis: a nested case-control study using multi-source big data
BackgroundSome medical conditions may increase the risk of develo** pulmonary tuberculosis (PTB); however, no systematic study on PTB-associated...
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The path from big data analytics capabilities to value in hospitals: a sco** review
BackgroundAs the uptake of health information technologies increased, most healthcare organizations have become producers of big data. A growing...
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Human resource management research in healthcare: a big data bibliometric study
Human resource management (HRM) in healthcare is an important component in relation to the quality and efficiency of healthcare delivery. However, a...
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Digital medicine: the next big leap advancing cardiovascular science
Solid clinical and academic leadership remains necessary to ensure that healthcare based on digital technologies is relevant, meaningful, and stands...
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Big Data in Nephrology
A huge array of data in nephrology is collected through patient registries, large epidemiological studies, electronic health records, administrative...
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Constructing synthetic populations in the age of big data
BackgroundTo develop public health intervention models using micro-simulations, extensive personal information about inhabitants is needed, such as...
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Food, Big Data, and Decision-making: a Sco** Review—the 3-D Commission
Food is an important determinant of health, featuring prominently in the Sustainable Development Goals. The term “big data” is seldom used in...
