Patra J.P., Rathore Y.K. (eds.) Applications of Artificial Intelligence in the Healthcare Sector

Nova Science Publishers, 2023. — 188 p. — ( Computer Science, Technology and Applications). — ISBN: 979-8-88697-541-3.This book was constructed with the syllabus of many countries’ universities in mind, so that undergraduate students, postgraduate students, and university researchers can utilize it for their studies. Chapter 1 of the book mainly focuses on the background of Artificial Intelligence and its applications in various fields. Chapter 2 presents the applications of Artificial Intelligence to save lives in rural areas. In Chapter 3, applications of Artificial Intelligence in pharmacies are explored. Chapter 4 is about the use of machine learning algorithms to extract and optimize features from the imaging of a diseased patient. Chapter 5 provides details about the machine-learning techniques used to detect lung cancer and pneumonia. Chapter 6 examines applications of deep learning techniques to fight the COVID-19 Pandemic. In Chapter 7, the use of deep autoencoders in the field of bio-medicine is described with its implementation, and Chapter 8 covers chronic disease diagnosis using Artificial Intelligence and the Internet of Things. The last two chapters, Chapters 9 and 10 focus on currently available health monitoring devices and possible improvements of their design along with the applications of IoRT (Internet of Robotics Things) in healthcare.Artificial neural networks are used in Deep Learning to identify patterns and make choices based on what they have discovered. Deep Learning is a type of Machine Learning that tries to mimic the way the human brain works by using artificial neural networks. It uses Deep Learning techniques like regression, classification, and clustering to process large sets of data and identify relationships between variables. It has become very popular because it is so good at learning from large amounts of data and finding patterns. It has been discovered that deep learning approaches can be used to analyze large amounts of data well. Virtual assistants like Siri and Google now use deep learning to help predict what you will want to know before you even think of it. The purpose of this work is to provide an overview of several commonly used Deep Learning methods as well as their design and implementation in the actual world.Artificial Intelligence: Healthcare’s Future, Not a Mere Technology.
Applications of Artificial Intelligence in Rural Areas.
An Artificial Intelligence-Based Pharmacy in Rural Areas.
FW-MCDM: Feature Weighted Multi-Criteria Decision-Making Techniques for Multi-Label Feature Selections.
Lung Cancer and Pneumonia Detection Using Image Processing and Machine Learning.
Deep Learning Algorithms in Healthcare.
Applying Topic Models for Finding N-Gram Entities in Biomedical Literature.
A Chronic Disease Diagnosis Model for Smart Healthcare Systems Enabled by Artificial Intelligence and the Internet of Things.
IoT-Based E-Health Monitoring System for Pre-Schoolers.
Internet of Robotics Things (IORT) in Healthcare Systems.