Smart Healthcare Systems, 1st edition
The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This bo...
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Routledge
2020
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/93477 https://doi.org/10.1201/9780429020575 |
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oai:scholar.dlu.edu.vn:DLU123456789-934772023-11-11T07:01:59Z Smart Healthcare Systems, 1st edition Sinha, Adwitiya Rathi, Megha Computer science Finance Economics Engineering & Technology The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions. 2020-05-21T01:43:19Z 2020-05-21T01:43:19Z 2019 Book 9780429020575 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/93477 https://doi.org/10.1201/9780429020575 en application/pdf Routledge New York |
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Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
| language |
English |
| topic |
Computer science Finance Economics Engineering & Technology |
| spellingShingle |
Computer science Finance Economics Engineering & Technology Sinha, Adwitiya Rathi, Megha Smart Healthcare Systems, 1st edition |
| description |
The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing.
Salient Features of the Book
Exhaustive coverage of Data Analysis using R
Real-life healthcare models for:
Visually Impaired
Disease Diagnosis and Treatment options
Applications of Big Data and Deep Learning in Healthcare
Drug Discovery
Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications
Compare and analyze recent healthcare technologies and trends
Target Audience
This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions. |
| format |
Book |
| author |
Sinha, Adwitiya Rathi, Megha |
| author_facet |
Sinha, Adwitiya Rathi, Megha |
| author_sort |
Sinha, Adwitiya |
| title |
Smart Healthcare Systems, 1st edition |
| title_short |
Smart Healthcare Systems, 1st edition |
| title_full |
Smart Healthcare Systems, 1st edition |
| title_fullStr |
Smart Healthcare Systems, 1st edition |
| title_full_unstemmed |
Smart Healthcare Systems, 1st edition |
| title_sort |
smart healthcare systems, 1st edition |
| publisher |
Routledge |
| publishDate |
2020 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/93477 https://doi.org/10.1201/9780429020575 |
| _version_ |
1819788248052924416 |