Machine Learning, Big Data, and Iot for Medical Informatics
暫譯: 醫療資訊學中的機器學習、大數據與物聯網
Kumar, Pardeep, Kumar, Yugal, Tawhid, Mohamed A.
- 出版商: Academic Press
- 出版日期: 2021-06-16
- 售價: $4,780
- 貴賓價: 9.5 折 $4,541
- 語言: 英文
- 頁數: 458
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0128217774
- ISBN-13: 9780128217771
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相關分類:
大數據 Big-data、Machine Learning、物聯網 IoT
海外代購書籍(需單獨結帳)
相關主題
商品描述
Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics.
In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data.
This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT.
商品描述(中文翻譯)
《機器學習、大數據與物聯網在醫療資訊學中的應用》專注於醫療資訊學領域中採用的最新技術。
在醫療資訊學中,機器學習、大數據和基於物聯網的技術在疾病診斷及預測中扮演著重要角色。在醫療領域中,數據的結構對於準確的預測分析同樣重要,因為數據的異質性,例如心電圖(ECG)數據、X光數據和影像數據。因此,本書專注於機器學習、大數據和基於物聯網的技術在處理結構化和非結構化數據中的可用性。它還強調醫療數據的隱私保護技術。
本書可作為在智能醫療資訊學領域工作的科學家、研究人員、實務工作者和學者的參考書。此外,它也可以作為本科和研究生課程的參考書,例如醫療資訊學、機器學習、大數據和物聯網。