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Machine Learning, Big Data, and IoT for Medical Informatics focuses
on the latest techniques adopted in the field of medical
informatics. In medical informatics, machine learning, big data,
and IOT-based techniques play a significant role in disease
diagnosis and its prediction. In the medical field, the structure
of data is equally important for accurate predictive analytics due
to heterogeneity of data such as ECG data, X-ray data, and image
data. Thus, this book focuses on the usability of machine learning,
big data, and IOT-based techniques in handling structured and
unstructured data. It also emphasizes on the privacy preservation
techniques of medical data. This volume can be used as a reference
book for scientists, researchers, practitioners, and academicians
working in the field of intelligent medical informatics. In
addition, it can also be used as a reference book for both
undergraduate and graduate courses such as medical informatics,
machine learning, big data, and IoT.
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