Full Description
This book is discussing artificial intelligence-based smart systems for diagnosis and prediction of diseases, artificial intelligence in clinical decision-making, and artificial intelligence tools for clinical and healthcare data. It further highlights the importance of 5G and 6G communication for telemedicine applications and applications of machine learning and deep learning in pandemic epidemiology.
This book:
Discusses artificial intelligence-inspired Internet of Things-based solutions, and machine learning modeling for smart healthcare
Explains the use of computer vision, natural language processing in healthcare, and artificial intelligence in clinical decision-making
Illustrates the role of artificial intelligence in telemedicine applications
Examines medical image analysis using machine learning, and deep learning techniques
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including computer science and engineering, electronics and communications engineering, and biomedical engineering.
Contents
1. Deep Learning based an Intelligent approach for the Pharmaceutical Drug Discovery and Classification using Fine-Tuned MobileNet and Adamax Optimizer. 2. Artificial Intelligence in Improving Disease Diagnosis: Cardiovascular Disease Prediction: A Case Study. 3. Medical Image Based Pulmonary Disease Prediction Using Bio-Geographical. 4. Tomato Plant Disease Detection with Pretrained CNNs: Performance Assessment and Visual Presentation: The Review. 5. Detection of Liver Cirrhosis Using Fuzzy Expert System. 6. An Extensive Survey on Citrus Plant Disease Detection Using Image Processing and Deep Learning. 7. Predicting Diabetes Using Hybrid Approach of KNN, Random Forest Machine Learning Algorithms. 8. Transforming Healthcare through Advanced Federated Learning: Privacy, Performance, and Collaboration. 9. Application of Artificial Intelligence in Breast Cancer Diagnostics-A Review. 10. An Enhance Approach of Domain Adaptation based Sentiment Analysis Using Deep Transfer Learning.
