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1921por Abedi, Vida, Lambert, Clare, Chaudhary, Durgesh, Rieder, Emily, Avula, Venkatesh, Hwang, Wenke, Li, Jiang, Zand, Ramin“…In this study, we leveraged electronic health records (EHRs) and data science techniques to estimate an optimal cut-point for defining the age of young IS. …”
Publicado 2023
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1922por Iapaolo, Fabio“…Working at the intersection of data science and social research, this paper aims to counter this trend by exploring the reverse perspective: how do cities affect the development, and expose the present limits, of SDCs? …”
Publicado 2023
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1923“…BACKGROUND AND PURPOSE: In recent years, data science approaches have entered health-care systems such as radiology, pathology, and radiation oncology. …”
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1924“…Artificial intelligence and emerging data science techniques are being leveraged to interpret medical image scans. …”
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1925“…Opportunities for focused research and development are additional commercialization and standardization, methods to improve the precision and accuracy of indigestible fiber fraction, data science applications, and statistical analyses of results, especially for IS data. …”
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1926Machine Learning Approaches for Predicting Fatty Acid Classes in Popular US Snacks Using NHANES Datapor Tachie, Christabel Y. E., Obiri-Ananey, Daniel, Tawiah, Nii Adjetey, Attoh-Okine, Nii, Aryee, Alberta N. A.“…The complexity of the NHANES data necessitates using machine learning (ML) methods, a branch of data science that uses algorithms to collect large, unstructured, and structured data sets and identify correlations between the data variables. …”
Publicado 2023
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1927“…With the advances in technology and data science, machine learning (ML) is being rapidly adopted by the health care sector. …”
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1928por Khan, Danyal Z, Hanrahan, John G, Baldeweg, Stephanie E, Dorward, Neil L, Stoyanov, Danail, Marcus, Hani J“…Intraoperative support to surgical team members will benefit from a data science approach, utilizing machine learning analysis of operative videos to improve patient safety and orientate team members to a common workflow. …”
Publicado 2023
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1929por Bunning, Bryan J., Hedlin, Haley, Chen, Jonathan H., Ciolino, Jody D., Ferstad, Johannes Opsahl, Fox, Emily, Garcia, Ariadna, Go, Alan, Johari, Ramesh, Lee, Justin, Maahs, David M., Mahaffey, Kenneth W., Opsahl-Ong, Krista, Perez, Marco, Rochford, Kaylin, Scheinker, David, Spratt, Heidi, Turakhia, Mintu P., Desai, Manisha“…The data, however, present a level of informatic complexity that relies heavily on a robust data science infrastructure. The nature of monitoring the data and safety must evolve to adapt to new trial scenarios to protect the rigor of clinical trials.…”
Publicado 2023
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1930por Asghar, Adeel, Abdul Hussain Ratlamwala, Tahir, Kamal, Khurram, Alkahtani, Mohammed, Mohammad, Emad, Mathavan, Senthan“…It can be summarized from this research work that predictive models do have accuracy and such data science techniques can be used as a substitute for extensive thermodynamic calculations.…”
Publicado 2023
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1931“…In essence, our pipeline emphasizes the importance of harmonizing AutoML and XAI, facilitating both simplified ML application and improved interpretability in metabolomics data science. AVAILABILITY: https://github.com/obifarin/automl-xai-metabolomics…”
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1932por Lawrence, Travis J., Kauffman, Kyle T., Amrine, Katherine C. H., Carper, Dana L., Lee, Raymond S., Becich, Peter J., Canales, Claudia J., Ardell, David H.“…Compact combinatorial encoding of data workflows with FAST commands can simplify the documentation and reproducibility of bioinformatic protocols, supporting better transparency in biological data science. Interface self-consistency and conformity with conventions of GNU, Matlab, Perl, BioPerl, R, and GenBank help make FAST easy and rewarding to learn. …”
Publicado 2015
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1933por Bedenkov, Alexander, Shpinev, Vitaly, Suvorov, Nikolay, Sokolov, Evgeny, Riabenko, Evgeniy“…The paper describes an effort to fight it undertaken at the verge of two industries—healthcare and Data Science. One of the major difficulties in monitoring antibiotic resistance is low availability of comprehensive research data. …”
Publicado 2016
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1934“…Mobile phone technology combined with data science has the potential to offer medicine a wealth of additional information on disease phenotypes, but the large majority of existing smartphone apps are not intended for use as biomedical research platforms and, as such, do not generate research-quality data. …”
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1935por McMurry, Julie A., Juty, Nick, Blomberg, Niklas, Burdett, Tony, Conlin, Tom, Conte, Nathalie, Courtot, Mélanie, Deck, John, Dumontier, Michel, Fellows, Donal K., Gonzalez-Beltran, Alejandra, Gormanns, Philipp, Grethe, Jeffrey, Hastings, Janna, Hériché, Jean-Karim, Hermjakob, Henning, Ison, Jon C., Jimenez, Rafael C., Jupp, Simon, Kunze, John, Laibe, Camille, Le Novère, Nicolas, Malone, James, Martin, Maria Jesus, McEntyre, Johanna R., Morris, Chris, Muilu, Juha, Müller, Wolfgang, Rocca-Serra, Philippe, Sansone, Susanna-Assunta, Sariyar, Murat, Snoep, Jacky L., Soiland-Reyes, Stian, Stanford, Natalie J., Swainston, Neil, Washington, Nicole, Williams, Alan R., Wimalaratne, Sarala M., Winfree, Lilly M., Wolstencroft, Katherine, Goble, Carole, Mungall, Christopher J., Haendel, Melissa A., Parkinson, Helen“…Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; identifiers are a core component of this integration infrastructure. …”
Publicado 2017
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1936por Stathias, Vasileios, Koleti, Amar, Vidović, Dušica, Cooper, Daniel J., Jagodnik, Kathleen M., Terryn, Raymond, Forlin, Michele, Chung, Caty, Torre, Denis, Ayad, Nagi, Medvedovic, Mario, Ma'ayan, Avi, Pillai, Ajay, Schürer, Stephan C.“…Our data management and stewardship solutions enable a functioning Consortium and make LINCS a valuable scientific resource that aligns with big data initiatives such as the BD2K NIH Program and concords with emerging data science best practices including the findable, accessible, interoperable, and reusable (FAIR) principles.…”
Publicado 2018
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1937por Meinert, Edward, Alturkistani, Abrar, Brindley, David, Carter, Alison, Wells, Glenn, Car, Josip“…This protocol aims to describe the design of a study evaluating learners knowledge, skills and attitudes in a MOOCs about data science for healthcare. METHODS AND ANALYSIS: Study participants will be recruited from learners who have registered for the MOOC. …”
Publicado 2018
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1938por Novella, Jon Ander, Emami Khoonsari, Payam, Herman, Stephanie, Whitenack, Daniel, Capuccini, Marco, Burman, Joachim, Kultima, Kim, Spjuth, Ola“…The benefits of Pachyderm are illustrated via a large metabolomics workflow, demonstrating that Pachyderm enables efficient and sustainable data science workflows while maintaining reproducibility and scalability. …”
Publicado 2019
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1939“…This study provides a representative example for clarifying the contribution of the environment to population dynamics through an innovative viewpoint of employing modern data science within traditional microbiology to obtain novel findings.…”
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1940“…Then, a literature review was conducted using databases including CNKI, SinoMed, VIP, Wanfang Data, ScienceDirect, ProQuest, OVID and PubMed. In addition to our case, 54 other rabies cases, with abnormal sexual behaviors as the presenting manifestations, have been reported since 1970. …”
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