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1601“…This proposition stems from the premise that data science can complement clinical acumen to scientifically inform the diagnostics, treatment planning and prognostication of cancer care. …”
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1602“…This review contributes to the emerging body of knowledge in Data Science and social media and informs strategies to combat social media misinformation.…”
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1603“…The superiority of the proposed method has been compared with a few prior segmentation models, namely U-Net, ENet, SegNet, LinkNet, and Mask RCNN on the 2018 Data Science Bowl (DSB) challenge dataset and the multi-organ nucleus segmentation (MoNuSeg) at MICCAI 2018. …”
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1604“…In this paper we explore the value of a multidisciplinary approach in this field: vaccine communication activities can be combined with insights from data science, risk communication, behavior change, design thinking and digital marketing. …”
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1606por Awotunde, Joseph Bamidele, Adeniyi, Emmanuel Abidemi, Kolawole, Paul Oluwatoba, Ogundokun, Roseline OluwaseunEnlace del recurso
Publicado 2022
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1608por Morese, Rosalba, Gruebner, Oliver, Sykora, Martin, Elayan, Suzanne, Fadda, Marta, Albanese, Emiliano“…To date, very few research studies have been conducted that combine different disciplines (epidemiology, health geography, neurosciences, psychology, and social media big data science), to build innovative research directions on this topic. …”
Publicado 2022
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1609por Chew, Elaine“…Taking the view of performance as an act of creative problem solving, ideas in citizen science and data science, optimization, and computational thinking provide means through which to deconstruct the process of music performance in scalable ways. …”
Publicado 2022
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1610por Ates, H. Ceren, Nguyen, Peter Q., Gonzalez-Macia, Laura, Morales-Narváez, Eden, Güder, Firat, Collins, James J., Dincer, Can“…In this Review, we examine the building blocks of such wearable sensors, including the substrate materials, sensing mechanisms, power modules and decision-making units, by reflecting on the recent developments in the materials, engineering and data science of these components. Finally, we synthesize current trends in the field to provide predictions for the future trajectory of wearable sensors.…”
Publicado 2022
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1611por Cui, Yuxia, Eccles, Kristin M., Kwok, Richard K., Joubert, Bonnie R., Messier, Kyle P., Balshaw, David M.“…In June 2021, the National Institute of Environmental Health Sciences (NIEHS) held a workshop bringing together experts in exposure science, geospatial technologies, data science and population health to address the need for integrating multiscale geospatial environmental data into large population health studies. …”
Publicado 2022
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1612por Gu, Hongyi, Yaman, Burhaneddin, Moeller, Steen, Ellermann, Jutta, Ugurbil, Kamil, Akçakaya, Mehmet“…However, in most comparisons, CS is implemented with two or three hand-tuned parameters, while DL methods enjoy a plethora of advanced data science tools. In this work, we revisit [Formula: see text]-wavelet CS reconstruction using these modern tools. …”
Publicado 2022
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1613“…Overall, both from a network science and data science perspective, our work offers a flexible and generalizable procedure for link prediction.…”
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1614“…This commentary aims to encourage conversation and motivate additional research across clinical and data science stakeholders.…”
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1615“…We conclude with how the empirical methods bridged in this protocol have potential to improve evaluation of data stewardship systems and better align them with diverse stakeholder values in genomic data science.…”
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1616“…With the development of data science, virtual reality, artificial intelligence, and digital twin, the introduction of the concept of the metaverse in medicine has brought alternative and complementary strategies in the intervention of cognitive decline. …”
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1617por Mandreoli, Federica, Ferrari, Davide, Guidetti, Veronica, Motta, Federico, Missier, Paolo“…As Big Data Analysis meets healthcare applications, domain-specific challenges and opportunities materialize in all aspects of data science. Advanced statistical methods and Artificial Intelligence (AI) on Electronic Health Records (EHRs) are used both for knowledge discovery purposes and clinical decision support. …”
Publicado 2022
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1618“…However, opportunities are currently not fully utilized, particularly at the intersection of data science and health. Health-related big data and technological advances have the potential to significantly aid the fight against such pandemics, including the current pandemic’s ongoing and long-term impacts. …”
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1619“…We detail feasible directions forward, to achieve greater levels of progress on improving outcomes for mental disorders, by: (a) the discovery of knowledge on the complex etiology of mental disorders with application of Causal Data Science methods; and (b) the encoding of the etiological knowledge that is discovered within a causal diagnostic system for mental disorders.…”
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1620“…At the Functional Genomics Center Zurich (FGCZ), a joint state-of-the-art research and training facility of ETH Zurich and the University of Zurich, we have developed the B-Fabric system, which has served for more than a decade, an entire life sciences community with fundamental data science support. In this paper, we sketch how such a system can be used to glue together data (including metadata), computing infrastructures (clusters and clouds), and visualization software to support instant data exploration and visual analysis. …”
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