Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics : Techniques and Applications / Sujata Dash, Subhendu Kumar Pani, Joel Jose P. Coelho Rodrigues, Babita Majhi
Publication year: 2022
: 9780367544256
Examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever.
: Artificial intelligence Medical applications, Bioinformatics, Internet of things, Machine learning, Medical informatics, Bioinformatics, Machine Learning - Design, Machine Learning - Bioscience, Systems & Control Engineering, Pattern Recognition, Statistical Genetics, IoT based Healthcare Systems,
