“…The persistent and pervasive gender gap in health care is a fact backed by data, science, and evidence. This editorial aims to describe some of the challenges that continue to persist. …”
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“…In this data article, we present to the data science, natural language processing and public heath communities an unlabeled corpus and a set of language models. …”
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“…Different components of the newly defined field of surgical data science have been under research at our groups for more than a decade now. …”
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“…(Nat Commun 9:4418, 2018, https://doi.org/10.1038/s41467-018-06735-8) made an impact on her by highlighting the importance of data science methods to understand virus-host interactions.…”
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“…These datasets can attract the attention from communities such as data science, social science, natural language processing, tourism, infodemiology, and public health.…”
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“…The dataset can be used in data mining, machine learning, and other analytical field problems in the scope of data science. Due to its unit of analysis, it is a dataset especially suitable for building customer segmentation models, including clustering and RFM (Recency, Frequency, and Monetary value) models, but also be used in classification and regression problems.…”
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“…Research examining rehabilitation outcomes related to health care reform including the Improving Medicare Post-Acute Care Transformation (IMPACT) Act, and using Medicare files, will be described. The role of Data Science and Discovery, as defined by the NIH and related to rehabilitation in older adults, will also be presented.…”
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“…This processed data in the form of images can be potentially used in deep learning or data science methodologies to perform finite element simulations.…”
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“…These terms, as used in data science and particularly in public discourse, are vague. …”
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“…The strategy implemented in Timesias is the first-place solution in the crowd-sourcing DII (discover, innovate, impact) National Data Science Challenge involving more than 100,000 patients, achieving 0.85 as evaluated by AUROC (area under receiver operator characteristic curve) in predicting the early onset of sepsis status. …”
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“…In this fast-growing field, we focus on reviewing advances at the intersection of data science with mechanical deformation simulations and experiments, with a particular focus on studies of metals and alloys. …”
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“…In addition, we investigate challenges in the integration of components to realize e-textile systems, and highlight opportunities enabled by innovations in materials science, engineering, and data science.…”
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“…Arnaud is a senior manager of statistics and data science at Pharmalex, Mont-St-Guibert, Belgium, working on innovative clinical trials, disease modelling and Bayesian statistics.…”
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“…In an effort to capitalise on large national health datasets and big data now available in Thailand, several of the programme’s postdoctoral fellows began projects that use data science methods to mine this asset. The investigators involved in these ground-breaking projects form the core of a network of research hubs that will be able to capitalise on the availability of lifespan health data from across Thailand and provide a robust working foundation for expansion of research using data science approaches. …”
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“…SIMPLE SUMMARY: Recent years have seen major advances in the analysis of carnivore modifications to bone during feeding, based on the integration of 3D modeling and data science techniques, and with special attention being paid to tooth marks. …”
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“…Our objective was to develop a data science approach to identify and analyze all publications linked to COVID-19 clinical studies and generate a prioritized list of publications for efficient understanding of the state of COVID-19 clinical research. …”
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“…In the era of "big data," science is increasingly information driven, and the potential for computers to store, manage, and integrate massive amounts of data has given rise to such new disciplinary fields as biomedical informatics. …”
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“…The book is recommended for both students and practitioners working in computer science, electrical engineering, data science, system design, pattern recognition, image analysis, neural computing, social network analysis, big data analytics, computational biology and soft computing.…”
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“…In this paper we present an integration of hardware-accelerated workloads into the Grid through the declaration of dedicated queues with access to hardware accelerators and the use of linux container images holding a modern data science software stack. A frequent use-case of in the development of machine learning algorithms is the optimization of neural networks through the tuning of their hyper parameters. …”
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