Applications of Big Data in Healthcare : Theory and Practice /
Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems...
| मुख्य लेखकों: | , , , |
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| स्वरूप: | software, multimedia |
| भाषा: | eng |
| प्रकाशित: |
Amsterdam : Academic Press,
2021
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| विषय: | |
| ऑनलाइन पहुंच: | https://www.sciencedirect.com/science/book/9780128202036 |
| _version_ | 1826472394824351744 |
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| author | Khanna, Ashish, editor 636376 Gupta, Deepak, editor 636375 Dey, Nilanjan, 1984-, editor 611303 ScienceDirect (Online service) 7722 |
| author_facet | Khanna, Ashish, editor 636376 Gupta, Deepak, editor 636375 Dey, Nilanjan, 1984-, editor 611303 ScienceDirect (Online service) 7722 |
| author_sort | Khanna, Ashish, editor 636376 |
| collection | OCEAN |
| description | Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data. This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. |
| first_indexed | 2024-03-05T17:17:52Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:605654 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:17:52Z |
| publishDate | 2021 |
| publisher | Amsterdam : Academic Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6056542023-09-13T06:58:54ZApplications of Big Data in Healthcare : Theory and Practice / Khanna, Ashish, editor 636376 Gupta, Deepak, editor 636375 Dey, Nilanjan, 1984-, editor 611303 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 Amsterdam : Academic Press,©20212021engApplications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data. This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians.Includes bibliographical references and index1.Big Data classification: techniques and tools -- 2.Big Data Analytics for healthcare: theory and applications -- 3.Application of tools and techniques of Big data analytics for healthcare system -- 4.Healthcare and medical Big Data analytics -- 5.Big Data analytics in medical imaging -- 6.Big Data analytics and artificial intelligence in mental healthcare -- 7.Big Data based breast cancer prediction using kernel support vector machine with the Gray Wolf Optimization algorithm -- 8.Big Data based medical data classification using oppositional Gray Wolf Optimization with kernel ridge regression -- 9.An analytical hierarchical process evaluation on parameters Apps-based Data Analytics for healthcare services -- 10.Firefly—Binary Cuckoo Search Technique based heart disease prediction in Big Data Analytics -- 11.Hybrid technique for heart diseases diagnosis based on convolution neural network and long short-term memory.Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data. This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians.MedicineBig data.https://www.sciencedirect.com/science/book/9780128202036URN:ISBN:9780128202036Remote access restricted to users with a valid UTM ID via VPN. |
| spellingShingle | Medicine Big data. Khanna, Ashish, editor 636376 Gupta, Deepak, editor 636375 Dey, Nilanjan, 1984-, editor 611303 ScienceDirect (Online service) 7722 Applications of Big Data in Healthcare : Theory and Practice / |
| title | Applications of Big Data in Healthcare : Theory and Practice / |
| title_full | Applications of Big Data in Healthcare : Theory and Practice / |
| title_fullStr | Applications of Big Data in Healthcare : Theory and Practice / |
| title_full_unstemmed | Applications of Big Data in Healthcare : Theory and Practice / |
| title_short | Applications of Big Data in Healthcare : Theory and Practice / |
| title_sort | applications of big data in healthcare theory and practice |
| topic | Medicine Big data. |
| url | https://www.sciencedirect.com/science/book/9780128202036 |
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