Data Analytics in Biomedical Engineering and Healthcareexplores 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 dataPresents innovative classification and regression models for predicting various diseasesDiscusses genome structure prediction using predictive modelingShows readers how to develop clinical decision support systemsShows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks | Data Analytics In Biomedical Engineering And Healthcare by Kun Chang Lee, Paperback | Indigo Chapters