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1641por Naidoo, Meshandren“…The value of the practical approach in this study is that it (1) provides an empirically observable, testable framework that contains predictive value; (2) is derived from a data-science framework that uses semantic information as a marker; (3) relies on a self-referential logic which is fundamental to agency; (4) enables the “grading” or “ranking” of AI systems, which provides an alternative method (as opposed to current risk-tiering approaches) and measure to determine the suitability of an AI system within a specific domain (e.g., such as social domains or emotional domains); (5) presents consistent, coherent, and higher informational content as opposed to other approaches; (6) fits within the conception of what informational content “laws” are to contain and maintain; and (7) presents a viable methodology to obtain “agency”, “agent”, and “personhood”, which is robust to current and future developments in AI technologies and society.…”
Publicado 2023
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1642“…We envision similar implementations of nsearch for other languages commonly used in data science such as Julia to facilitate sequence similarity comparisons. …”
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1643por Muñoz-Almaraz, Francisco Javier, Zamora-Martínez, Francisco, Botella-Rocamora, Paloma, Pardo, Juan“…The proposed solution extends with this novel approach an algorithm that was submitted to win the third prize of an international Data Science challenge promoted by Kaggle contest platform and the American Epilepsy Society, the Epilepsy Foundation, National Institutes of Health (NIH) and Mayo Clinic. …”
Publicado 2017
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1644“…The data-driven approach brings data science into the field and is benefiting immensely from the development of research platforms that allow automatized collection, analysis, and sharing of data. …”
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1645por Ozcan Cetin, Elif Hande, Ozeke, Ozcan, Ilkay, Erdogan, Aras, Dursun, Topaloglu, Serkan, Golbasi, Zehra, Aydogdu, Sinan, Ozer, Can“…Recently, the precision medicine is defined as an evidence-based approach that uses innovative tools and biological and data science to customize disease prevention, detection, and treatment, and improve the effectiveness and quality of patient care. …”
Publicado 2018
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1646“…The objectives of this commentary are to provide an overview of key concepts surrounding the evolving and interdisciplinary field of geoAI including spatial data science, machine learning, deep learning, and data mining; recent geoAI applications in research; and potential future directions for geoAI in environmental epidemiology.…”
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1647“…Two final papers illustrate the importance of fundamental data sources needed to support advanced data science.…”
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1648por Montesinos-López, Abelardo, Montesinos-López, Osval A., Gianola, Daniel, Crossa, José, Hernández-Suárez, Carlos M.“…For this reason, we believe that DL should be added to the data science toolkit of scientists working on animal and plant breeding. …”
Publicado 2018
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1649“…Exemplified for the United States Geological Survey topographic map and the Sanborn fire insurance map archives, we demonstrate how such preliminary analyses can be systematically conducted using traditional analytical and cartographic techniques, as well as visual-analytical data mining tools originating from machine learning and data science.…”
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1650“…Advances in computational and data sciences for data management, integration, mining, classification, filtering, visualization along with engineering innovations in medical devices have prompted demands for more comprehensive and coherent strategies to address the most fundamental questions in health care and medicine. …”
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1651“…Multiple hypothesis testing is an essential component of modern data science. In many settings, in addition to the p-value, additional covariates for each hypothesis are available, e.g., functional annotation of variants in genome-wide association studies. …”
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1652por Long, Feixiao“…Through strictly controlled experiments, the average IOU and precision of U-Net+ predictions are confirmed to outperform other prevalent competing methods with 1.0% to 3.0% gain on the first stage test set of 2018 Kaggle Data Science Bowl cell nuclei segmentation contest with shorter inference time. …”
Publicado 2020
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1653por DePaoli, Damon, Lemoine, Émile, Ember, Katherine, Parent, Martin, Prud’homme, Michel, Cantin, Léo, Petrecca, Kevin, Leblond, Frédéric, Côté, Daniel C.“…Aim: We give a summary of neurosurgical workflows and key translational milestones of RS in clinical use and provide the optics and data science background required to implement such devices. …”
Publicado 2020
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1654“…We also recommend a wide range of applications using big health data and the future of data science for health systems to monitor and evaluate impacts that are not well understood at local levels.…”
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1655por Venkatakrishnan, AJ, Puranik, Arjun, Anand, Akash, Zemmour, David, Yao, Xiang, Wu, Xiaoying, Chilaka, Ramakrishna, Murakowski, Dariusz K, Standish, Kristopher, Raghunathan, Bharathwaj, Wagner, Tyler, Garcia-Rivera, Enrique, Solomon, Hugo, Garg, Abhinav, Barve, Rakesh, Anyanwu-Ofili, Anuli, Khan, Najat, Soundararajan, Venky“…We find the gut as the putative hotspot of COVID-19, where a maturation correlated transcriptional signature is shared in small intestine enterocytes among coronavirus receptors (ACE2, DPP4, ANPEP). A holistic data science platform triangulating insights from structured and unstructured data holds potential for accelerating the generation of impactful biological insights and hypotheses.…”
Publicado 2020
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1656“…This article provides predictions for the spread of the SARS-CoV-2 virus for a number of European countries and the United States of America, drawing from their different profiles, both socioeconomically and in terms of outbreak and response to the 2019–2020 coronavirus pandemic, from an engineering and data science perspective. Each country is separately analysed, due to their differences in populations density, cultural habits, health care systems, protective measures, etc. …”
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1657“…Nowadays, we gain access to large scale patient-derived data by high-throughput technologies, generating a greater need for data science including unsupervised learning and network modeling. …”
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1658por Bedenkov, Alexander, Rajadhyaksha, Viraj, Beekman, Maarten, Moreno, Carmen, Fong, Pei-Chieh, Agustin, Lyra, Odell, Sarah“…In order to secure future success within their roles, medical affairs professionals will have to demonstrate specific capabilities founded on communications and behavioural change, business leadership acumen, knowledge acquisition and self-development, and the ability to generate real-world evidence from insights and expertise within data science and analytics. It will be our responsibility as medical affairs leaders to create this foundation for the leaders of tomorrow.…”
Publicado 2020
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1659“…An R package implementing our method is available at https://gitlab.com/biomerieux-data-science/clustlasso.…”
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1660por Dillon, Erin M., Dunne, Emma M., Womack, Tom M., Kouvari, Miranta, Larina, Ekaterina, Claytor, Jordan Ray, Ivkić, Angelina, Juhn, Mark, Carmona, Pablo S. Milla, Robson, Selina Viktor, Saha, Anwesha, Villafaña, Jaime A., Zill, Michelle E.“…Here, we survey four challenges facing analytical paleobiology from an early-career perspective: (1) accounting for biases when interpreting the fossil record; (2) integrating fossil and modern biodiversity data; (3) building data science skills; and (4) increasing data accessibility and equity. …”
Publicado 2023
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