Data Analytics in Biomedical Engineering and Healthcare
Editat de Kun Chang Lee, Sanjiban Sekhar Roy, Pijush Samui, Vijay Kumaren Limba Engleză Paperback – 15 oct 2020
- 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
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Specificații
ISBN-13: 9780128193143
ISBN-10: 012819314X
Pagini: 292
Dimensiuni: 191 x 235 mm
Greutate: 0.52 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 012819314X
Pagini: 292
Dimensiuni: 191 x 235 mm
Greutate: 0.52 kg
Editura: ELSEVIER SCIENCE
Cuprins
1. Data analytics applications in biomedical data 2. Predictive Health Analysis 3. Exploration of EHR (Electronic Health Records) using data science 4. Machine Learning and Deep Learning application on medical image analysis 5. Developing Clinical Decision Support System 6. Innovative Classification, Regression Model for predicting various diseases 7. Computational Drug Discovery using State of the Art Unsupervised learning 8. Genome Structure prediction using Predictive modelling 9. Hybrid learning for better medical diagnosis 10. Big data application in healthcare under MapReduce and Hadoop frameworks