@article{1442352,
      note = {Includes author index.},
      author = {Pattnaik, Prasant Kumar, and Vaidya, Ashlesha, and  Mohanty, Suneeta, and Mohanty, Satarupa, and Hol, Ana,},
      url = {http://library.usi.edu/record/1442352},
      title = {Smart healthcare analytics : state of the art /},
      publisher = {Springer,},
      abstract = {This edited book helps researchers and practitioners to  understand e-health, m-healthcare architecture through IoT  and the state of the art in IoT counter measures. This book  provides a comprehensive discussion on a functional  framework for IoT-based healthcare systems, intelligent  medicine box, RFID technology, HMI, cognitive  interpretation, BCI, remote health monitoring systems,  wearable sensors, WBAN, healthcare analytics, machine  learning (ML) techniques for IoT-enabled healthcare  services, security and privacy issues in IoT-based  healthcare monitoring systems. The book discusses  integration of IoT with big data and cloud computing for  solving several real-time problems by the use of smart  healthcare applications. In these applications, the cloud  computing provides a common workplace for IoT and big data,  big data provides data analytics technology and IoT  provides the source of data. It serves as a reference  resource for researchers and practitioners in academia and  industry.},
      doi = {https://doi.org/10.1007/978-981-16-5304-9},
      recid = {1442352},
      pages = {1 online resource},
      address = {Singapore :},
      year = {2022},
}