Kun Chang Lee,
Sanjiban Sekhar Roy,
Pijush Samui,
Vijay Kumar
e.a.
Elsevier Science
e druk, 2020
9780128193143
Data Analytics in Biomedical Engineering and Healthcare
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
2020
ISBN13: 9780128193143
Rubricering
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
Inhoudsopgave
<p>1. Data analytics applications in biomedical data<br>2. Predictive Health Analysis<br>3. Exploration of EHR (Electronic Health Records) using data science<br>4. Machine Learning and Deep Learning application on medical image analysis<br>5. Developing Clinical Decision Support System<br>6. Innovative Classification, Regression Model for predicting various diseases<br>7. Computational Drug Discovery using State of the Art Unsupervised learning<br>8. Genome Structure prediction using Predictive modelling<br>9. Hybrid learning for better medical diagnosis<br>10. Big data application in healthcare under MapReduce and Hadoop frameworks</p>