Data Analytics in Biomedical Engineering and Healthcare (ePub)
(Sprache: Englisch)
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...
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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 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
Bibliographische Angaben
- 2020, 292 Seiten, Englisch
- Herausgegeben: Kun Chang Lee, Sanjiban Sekhar Roy, Pijush Samui, Vijay Kumar
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0128193158
- ISBN-13: 9780128193150
- Erscheinungsdatum: 18.10.2020
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Grösse: 21 MB
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- Vorlesefunktion
Sprache:
Englisch
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