Ankündigung Erscheint vsl. Juli 2021 Abbildung von Kumar / Tawhid | Machine Learning, Big Data, and IoT for Medical Informatics | 1. Auflage | 2021 | beck-shop.de

Kumar / Tawhid

Machine Learning, Big Data, and IoT for Medical Informatics

Jetzt vorbestellen! Wir liefern bei Erscheinen (Erscheint vsl. Juli 2021)

Buch. Softcover

2021

320 S.

In englischer Sprache

William Andrew Publishing. ISBN 978-0-12-821777-1

Format (B x L): 19,1 x 23,5 cm

Produktbeschreibung

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics. The book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. In addition, it also emphasizes 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 in medical informatics, machine learning, big data and IoT.

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.



- 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

Autoren

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