Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques

ISBN-13: 9781032208305 / Angielski / Twarda / 2023 / 504 str.

Opis

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment.

Spis treści

1. Artificial Intelligence Challenges, Principles, and Applications in Smart Healthcare Systems.  2. Systematic View and Impact of Artificial Intelligence in Smart Healthcare Systems, principles, challenges and Applications.  3. Application of Machine Learning Techniques in COVID-19 Epidemiology: A Glimpse.  4. Automated Seven-Level Skin Cancer Staging Diagnosis in Dermoscopic images using Deep Learning.  5. Ensemble Classifier Based Predictive Model for Type-2 Diabetes Mellitus Prediction.  6. Machine Learning Approaches for Analysis in Smart Healthcare Informatics.  7. Smart Approaches for Diagnosis of Brain Disorders using Artificial Intelligence.  8. Bridging the Gap Between Technology and Medicine: Approaches of Artificial Intelligence in Healthcare.  9. Brain Tumor Classification using Transfer Learning.  10. Advanced Bayesian Estimation Of Weibull In Early Stage Eye Loss Prediction In Diabetic Retinopathy.  11. Automated Sleep Staging Using Single-Channel EEG SIgnal based on Machine Learning Approaches.  12. Machine Learning Based Intelligent Assistant for Smart Healthcare.  13. AI-Enabled Sentiment Analysis on COVID-19 Vaccination: A Twitter based study.  14. An Early Diagnosis of Lung Nodule Using CT Images based on Hybrid Machine Learning techniques.  15. Early Detection of Alzheimer’s Disease Assisted by AI-Powered Human-Robot Communication.