Data Analytics in Biomedical Engineering and Healthcare

This book PDF is perfect for those who love Science genre, written by Kun Chang Lee and published by Academic Press which was released on 18 October 2020 with total hardcover pages 298. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Data Analytics in Biomedical Engineering and Healthcare books below.

Data Analytics in Biomedical Engineering and Healthcare
Data Analytics in Biomedical Engineering and Healthcare
Author : Kun Chang Lee
File Size : 45,9 Mb
Publisher : Academic Press
Language : English
Release Date : 18 October 2020
ISBN : 9780128193150
Pages : 298 pages
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Data Analytics in Biomedical Engineering and Healthcare by Kun Chang Lee Book PDF Summary

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks. Examines the development and application of data analytics applications in biomedical data Presents innovative classification and regression models for predicting various diseases Discusses genome structure prediction using predictive modeling Shows readers how to develop clinical decision support systems Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks

Data Analytics in Biomedical Engineering and Healthcare

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Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data

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Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and

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