| 期刊全稱(chēng) | Advanced Data Analytics in Health | | 影響因子2023 | Philippe J. Giabbanelli,Vijay K. Mago,Elpiniki I. | | 視頻video | http://file.papertrans.cn/146/145471/145471.mp4 | | 發(fā)行地址 | Focuses on the use of recently developed computational techniques in the context of health, including healthcare and public health.Demonstrates how data can be transformed into valuable insights for v | | 學(xué)科分類(lèi) | Smart Innovation, Systems and Technologies | | 圖書(shū)封面 |  | | 影響因子 | .This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.. | | Pindex | Book 2018 |
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