• Hands-on healthcare data : taming the complexity of real-world data
  • 紀錄類型: 書目-語言資料,印刷品 : 單行本
    副題名: taming the complexity of real-world data
    作者: NguyenAndrew,
    出版地: Sebastopol, CA
    出版者: O'Reilly Media;
    出版年: c2022
    版本: 1st ed.
    面頁冊數: xv, 225 p.ill. : 24 cm.;
    標題: Medical informatics -
    標題: Medical informatics - Research -
    標題: Medicine - Data processing -
    標題: Machine learning -
    標題: Medical Informatics -
    標題: Biomedical Technology -
    標題: Research Design -
    標題: Machine Learning -
    摘要註: Healthcare is the next frontier for data science. Using the latest in machine learning, deep learning, and natural language processing, you'll be able to solve healthcare's most pressing problems: reducing cost of care, ensuring patients get the best treatment, and increasing accessibility for the underserved - once you learn how to access and make sense of all that data. This book provides pragmatic and hands-on solutions for working with healthcare data, from data extraction to cleaning and normalizing to feature engineering. Author Andrew Nguyen covers specific ML and deep learning examples with a focus on producing high-quality data. You'll discover how graph technologies help you connect disparate data sources so you can solve healthcare's most challenging problems using advanced analytics
    ISBN: 9781098112929
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