Machine learning, big data, and IoT for medical informatics

Machine learning, big data, and IoT for medical informatics

lokal emedia ebook

edited by Pardeep Kumar, Yugal Kumar and Mohamed A. Tawhid

cofz

[Erscheinungsort nicht ermittelbar]

Academic Press

978-0-12-821781-8

0-12-821781-2

2021

2021

1 online resource.

Intelligent data centric systems

1814344454

Erscheint auch als : Druck-Ausgabe

eng

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. Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. Includes several privacy preservation techniques for medical data. Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. Offers case studies and applications relating to machine learning, big data, and health care analysis.

Aggregator

Online-Ressource

Apprentissage automatique

Médecine ; Informatique

Intelligence artificielle en médecine

Artificial intelligence ; Medical applications

Machine learning

Medical informatics

Electronic book

Electronic books