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1261“…Senior researcher Vanessa Lage-Rupprecht and two collaborators talk about what data science means to them and illustrate how they managed to create a data and lab coexistence in their drug-repurposing project, which was recently published in Patterns. …”
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1262por Amaro, Edson“…Together with the enormous opportunities, we also face challenges related to data quality, ethics and intrinsic difficulties related to the application of data science in healthcare. In this article we will describe the main advances in the field of artificial intelligence and Big Data applied to neurology with a focus on neurosciences based on medical images. …”
Publicado 2022
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1263por Spratt, Heidi“…DISCUSSION/SIGNIFICANCE: This internship program is significant because developing a workforce knowledgeable in biostatistics and data science has been increasingly in demand to improve the efficiency and reliability of biomedical innovation. …”
Publicado 2023
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1264“…Artificial Intelligence (AI) technologies and data science models may hold potential for enabling an understanding of global health inequities and support decision-making related toward possible interventions. …”
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1265“…Conclusions: These methods show that it is possible to make PPPM costs easily available without data science, clinical, or programming knowledge with interactive, visual analytics. …”
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1266por Varzandian, Ali, Razo, Miguel Angel Sanchez, Sanders, Michael Richard, Atmakuru, Akhila, Di Fatta, Giuseppe“…This work investigates an appropriate combination of data science techniques and linear models to provide, at the same time, high accuracy and good descriptiveness. …”
Publicado 2021
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1267por Yao, Song, Campbell, Peter T., Ugai, Tomotaka, Gierach, Gretchen, Abubakar, Mustapha, Adalsteinsson, Viktor, Almeida, Jonas, Brennan, Paul, Chanock, Stephen, Golub, Todd, Hanash, Samir, Harris, Curtis, Hathaway, Cassandra A., Kelsey, Karl, Landi, Maria Teresa, Mahmood, Faisal, Newton, Christina, Quackenbush, John, Rodig, Scott, Schultz, Nikolaus, Tearney, Guillermo, Tworoger, Shelley S., Wang, Molin, Zhang, Xuehong, Garcia-Closas, Montserrat, Rebbeck, Timothy R., Ambrosone, Christine B., Ogino, Shuji“…The meeting consisted of 21 presentations organized into the three main themes, which were recent integrative MPE studies, novel cancer profiling technologies, and new statistical and data science approaches. Looking forward to the near future, the meeting attendees anticipated continuous expansion and fruition of MPE research in many research fronts, particularly immune-epidemiology, mutational signatures, liquid biopsy, and health disparities.…”
Publicado 2022
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1268“…This indicates that FL has value in scaling data science methods to data collected in computational modeling contexts when data sharing is not convenient, practical or permissible.…”
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1269por Mayer, Benedikt, Meuschke, Monique, Chen, Jimmy, Müller-Stich, Beat P., Wagner, Martin, Preim, Bernhard, Engelhardt, Sandy“…PURPOSE: Integrated operating rooms provide rich sources of temporal information about surgical procedures, which has led to the emergence of surgical data science. However, little emphasis has been put on interactive visualization of such temporal datasets to gain further insights. …”
Publicado 2022
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1270por Kornblith, Aaron E., Singh, Chandan, Devlin, Gabriel, Addo, Newton, Streck, Christian J., Holmes, James F., Kuppermann, Nathan, Grupp-Phelan, Jacqueline, Fineman, Jeffrey, Butte, Atul J., Yu, Bin“…We sought to vet the PECARN CDI with the Predictability Computability Stability (PCS) data science framework, potentially increasing its chance of a successful external validation. …”
Publicado 2022
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1271“…This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering, and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. …”
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1273por Boche, Holger, Caire, Giuseppe, Calderbank, Robert, Kutyniok, Gitta, Mathar, Rudolf, Petersen, Philipp“…In addition to methods in compressed sensing, chapters provide insights into cutting edge applications of deep learning in data science, highlighting the overlapping ideas and methods that connect the fields of compressed sensing and deep learning. …”
Publicado 2019
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1274“…Random matrix theory has many roots and many branches in mathematics, statistics, physics, computer science, data science, numerical analysis, biology, ecology, engineering, and operations research. …”
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1275por Sundnes, Joakim“…These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. …”
Publicado 2020
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1276“…The platform is designed in a way that non-expert users without data science knowledge can explore it. For this, the data has to be specifically crafted in a form of a schema. …”
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1277“…Here, they talk about their view of data science, their experience with interdisciplinary research, and the potential applications of their tool.…”
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1278por König, Inke R.“…These cover the areas of reproducibility, statistical significance, chance findings, precision medicine and related fields such as bioinformatics and data science. Possible hints at responses are presented to foster our further discussion of these topics.…”
Publicado 2019
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1279por Aszalós, László“…One of the tasks of data science is the decomposition of large matrices in order to understand their structures. …”
Publicado 2021
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