Название: Computational Intelligence Aided Systems for Healthcare Domain
Автор: Akshansh Gupta, Hanuman Verma, Mukesh Prasad
Издательство: CRC Press
Год: 2023
Страниц: 437
Язык: английский
Формат: pdf (true)
Размер: 79.4 MB

This book covers recent advances in Artificial Intelligence (AI), smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical.

Machine Learning is a learning process by the computing device; that is the study of computer algorithms that improve automatically through experience and by using input data. Thus, the machine learning algorithms are processes that can learn from the data. This is accomplished with the minimum extent of human intervention without explicit programming like in abstraction form. The learning process in machine learning is improved based on the experiences of the machines throughout the execution process. It builds a model or map based on training data that can be used to make predictions or decisions. Machine Learning is different from traditional programming; in Machine Learning, the input data along with the output is passed into the machine during, the learning process. Data or data set (different sets of the data in a specific domain) plays an essential role in the building of a model in Machine Learning algorithms, as computationally intelligent technique is used in the algorithm to learn intrinsic properties of the data set from that data itself. Thus, learning and prediction performance are affected by the quality and quantity of the data set. On the basis of the problem domain and nature of the data set, learning techniques are categorized into three main categories, namely supervised, unsupervised, and reinforcement learning.

This book:

Presents architecture, characteristics, and applications of Artificial Intelligence and smart computing in health care systems.
Highlights privacy issues faced in health care and health informatics using Artificial Intelligence and smart computing technologies.
Discusses nature-inspired computing algorithms for the brain-computer interface.
Covers graph neural network application in the medical domain.
Provides insights into the state-of-the-art artificial intelligence and smart computing enabling and emerging technologies.

This book discusses recent advances and applications of Artificial Intelligence and smart technologies in the field of healthcare. It highlights privacy issues faced in health care and health informatics using Artificial Intelligence and smart computing technologies. It covers nature-inspired computing algorithms such as genetic algorithms, particle swarm optimization algorithms, and common scrambling algorithms to study brain-computer interfaces. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.