Data Science for Healthcare: Methodologies and Applications
by: Sergio Consoli
ISBN-10: 3030052486
ISBN-13: 9783030052485
Edition 版本: 1st ed. 2019
Publication Date 出版日期: 2019-02-27
Pages: 367 pages
9
Book Description
This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so,the book draws on several interrelated disciplines,including machine learning,big data analytics,statistics,pattern recognition,computer vision,and Semantic Web technologies,and focuses on their direct application to healthcare.
Building on three tutorial-like chapters on data science in healthcare,the following eleven chapters highlight success stories on the application of data science in healthcare,where data science and artificial intelligence technologies have proven to be very promising.
This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book,they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.
Data Science for Healthcare: Methodologies and Applications
相关推荐
- Understanding, Measuring, and Improving 5S for Operations to Support TPM: How to Build the Foundation for Autonomous Maintenance
- Unlocking the Power of the Cloud: Governance, Artificial Intelligence, Risk Management, Value
- Advanced Engineering Calculus: A Collection of Problems with Solutions
- Advances in Computational Methods and Modeling for Science and Engineering
finelybook
