Synopses & Reviews
Data Analytics in Biomedical Engineering and Healthcare covers key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful to people working with big data analytics in biomedical research, medical industries, as well as research scholars and scientists in medical research labs. The editors provide complete coverage of health analytics, data science and machine learning applications on biomedical data, covering topics such as Predictive Health Analysis, Electronic Health Records, machine learning and deep learning applications to medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies will demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks.