| 書目名稱 | Leveraging Data Science for Global Health | | 編輯 | Leo Anthony Celi,Maimuna S. Majumder,Melek Somai | | 視頻video | http://file.papertrans.cn/586/585401/585401.mp4 | | 概述 | Is the first and currently the only book on digital disease surveillance through the application of machine learning to non-traditional data sources.Focuses on combating disease and promoting health, | | 圖書封面 |  | | 描述 | .This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.. | | 出版日期 | Textbook‘‘‘‘‘‘‘‘ 2020 | | 關(guān)鍵詞 | Open Access; Big Data; Machine Learning; Artificial Intelligence; Health Informatics; Digital Disease Sur | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-47994-7 | | isbn_softcover | 978-3-030-47996-1 | | isbn_ebook | 978-3-030-47994-7 | | copyright | The Editor(s) (if applicable) and The Author(s) 2020 |
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