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Using Big Data to Identify Possible External Risk Factors for Poorly Understood Cancers

Worldwide, cancer is the second leading cause of death (Cancer, 2012). There were 17 million new cases and 9.6 million cancer deaths worldwide in 2018, including approximately 1.7 million new U.S. cases and 600,000 U.S. cancer deaths (Cancer Facts & Figures 2018 | American Cancer Society, 2018; Worldwide Cancer Statistics, 2019). The worldwide incidence of cancer is expected to increase

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An Evaluation of Physician Burnout by EMR Use Characterization and Correlation

Burnout disproportionately affects healthcare workers and continues to rise.  This condition potentially contributes to cost, quality and patient safety risk in an already overburdened United States healthcare system.  While the causes of burnout are complex, evidence exists pointing to Electronic Medical Record use (EMR) as one major contributor due to the increased clerical burden that decreases patient

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Elucidate the Genome Evolution of Eusocial Corbiculate Bees Using Parent-progeny Sequencing Approach

Understanding the evolution of eusociality, defined by distinct reproductive and nonreproductive castes, at the molecular level, has always been an essential and highly challenging topic of biology. Eusociality has evolved multiple times independently and involved many incremental steps, resulted in intermediate levels of social complexity. The Apinae (corbiculate bees) consists of 4 tribes with a

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Cancer Surveillance Informatics – Missouri Cancer Registry and Research Center

Cancer surveillance has to be able to monitor trends of cancer cases, subtypes of cancer, and cancer clusters to inform cancer control and policies related to cancer and cancer care. The increasing complexity and depth of cancer care, treatment, and other elements to describe a cancer case require cancer registries to capture data from a

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Artificial Intelligence Driven Framework for the Structurization of Free-Text Diagnostic Reports

Diagnosticians record, share, and store a wealth of data on patients, diseases, and biomedical processes in free-text diagnostic reports. To continue providing advanced biomedical services, healthcare organizations should efficiently and effectively perform complex data management, aggregate data resources, and ensure the interconnectivity and interoperability of biomedical data sets. However, free-text is a poor starting point

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New Algorithmic Strategies to Forecasting Contagions

Abstract Can tweets be really used to track and forecast an epidemic outbreak? Can we monitor a handful of individuals in a city or a social network to forecast virality? The problems we focus on occur in diverse areas: social networks, public health surveillance, and cybersecurity. This talk will comprise two parts. In the first

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Applied AI in CDSS in Medicine: A Systematic Review

Objective: Clinical decision support systems (CDSS) are continuously developing to solve medical problems and try to improve healthcare management, which has shown a significant result in reducing medical errors and improving multiple healthcare processes. These days, artificial intelligence (AI) becomes more influential in healthcare supporting physicians to make a clinical decision.  Materials and Methods: A systematic review

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