“…Educating the next generation of medical professionals with the right ML techniques will enable them to become part of this emerging data science revolution.…”
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“…Though, the current massive data-exchange, high efficiency and strong competitiveness landscape, boosted by Industry 4.0 and IIoT (Industrial Internet of Things) paradigms, does not accommodate such a data misuse and demands more incisive approaches when analyzing industrial data. Advances in Data Science and Big Data (or more precisely, Industrial Big Data) have been enabling novel approaches in data analysis which can be great allies in extracting hitherto hidden information from plant operation data. …”
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“…With rapid advances in technology, it is now possible to collect digital metrics to assess, monitor and detect chronic disease indicators, much earlier in the disease course, potentially redefining what was previously considered asymptomatic to pre-symptomatic. Data science and artificial intelligence can drive the discovery of digital biomarkers before the emergence of overt clinical symptoms, thereby transforming the current healthcare approach from one centered on precision medicine to a more comprehensive focus on precision health, and by doing so enable the possibility of preventing disease altogether. …”
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“…Industry 4.0 is a synonym for the confluence of technologies that allows the integration of information technology, data science, and automated equipment, to produce smart industrial systems. …”
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“…As such, bioinformatics and data science skills have become essential to leverage microbiome sequencing data for discovery. …”
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“…If we want epidemiological models to be a useful tool in combating the epidemic, we need to engage experts from epidemiology, data science and statistics.…”
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“…Pattern classification represents a challenging problem in machine learning and data science research domains, especially when there is a limited availability of training samples. …”
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“…Additionally, a focus on the utilization of data science and behavioral economics related to palliative care, as well as a focus on the application of technology to improve assessments and interventions complete the scope of research endeavors.…”
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“…This raises the prospect that incidence of COVID-19 may be tracked online by search queries and social media posts analyzed by advanced methods in data science, such as Artificial Intelligence. Online queries can provide early warning of an impending epidemic, which is valuable information needed to support planning timely interventions. …”
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“…In this paper, we report our top-performing method in the 2019 DII National Data Science Challenge to predict onset of sepsis 4 h before its diagnosis on electronic health records of over 100,000 unique patients in emergency departments. …”
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“…In this study, we present the top-performing algorithm for Sepsis II prediction in the DII National Data Science Challenge using the Cerner Health Facts data involving more than 100,000 adult patients. …”
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“…Moreover, amidst the explosion of data science, engineering, and medicine, machine learning (ML) integrated with MSM is poised to enhance the capabilities of standard MSM approaches significantly, particularly in the face of increasing problem complexity. …”
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“…In this paper, we briefly review non-interpretive and interpretive data science, with emphasis on potential avenues for advancement in pediatric body MRI based on similar work in adults. …”
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“…This article is part of the theme issue ‘Data science approach to infectious disease surveillance’.…”
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“…While previous papers have focused on describing ideal best practices for data and code, we focus on common-sense ideas for sharing tabular data for a target audience of academics working in data science adjacent fields who are about to submit for publication.…”
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“…We also discuss the opportunities provided by conventional and advanced recycling/upgrading routes to petrochemical and bio-based materials and feedstocks, along with overviews of chemistry-related (experimental, computational, data science, and materials traceability) approaches to the valorization of polymers toward a closed-loop environment.…”
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“…As it is explored in detail, the current literature is a dichotomy with studies originating from the contrasting fields of study of either philosophy and sociology or data science and programming. It is suggested that there is a need instead for an integration of both academic approaches, and needs to be machine-centric rather than human-centric applied with a deep understanding of societal and individual prejudices. …”
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“…The main ethical challenges that arise for Information Sciences (with the daily use in different areas of Big Data applications) are not about the reliability of its professionals to carry out tasks in the organization area in an impartial way or about the obligation to train themselves technologically in the area of Data Science. The most important problems are related to the concept of moral responsibility, especially from a metaethical perspective, in line with the reflection of the implementation of technology with respect to human autonomy. …”
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“…With the emergence of big data and more personalized approaches to spine care and predictive modeling, data science and deep analytics are taking center-stage. …”
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