Application of Advanced Optimization Techniques for Healthcare Analytics

ISBN-13: 9781032348810 / Angielski / Twarda / 2023 / 256 str.

Reda Ramadan

Opis

This book demonstrates how optimization techniques can solve hospital analytics problems. It covers advanced heuristic, meta-heuristic, DL/ML, multi-criteria decision making (MCDM), and prescriptive models, but also encompasses different supply chain, logistics, planning, scheduling, and medical imaging issues related to hospital analytics.

Spis treści

1. Advanced Optimization Techniques (Introduction) 2. Metaheuristic Algorithms for Healthcare: Open Issues and Challenges 3. Metaheuristic-Based Augmented Multilayer Perceptrons for Cancer and Heart Disease Predictions 4. The Role of Metaheuristics in Multilevel Thresholding Image Segmentation 5. Role of Advanced Metaheuristics for DNA Fragment Assembly Problem. 6. Contribution of Metaheuristic Approaches for Feature Selection Techniques 7. Advanced Metaheuristics for Task Scheduling in Healthcare IoT 8. Metaheuristics for Augmenting Machine Learning Models to Process Healthcare Data 9. Deep Learning Models to Process Healthcare Data: Introduction 10. Metaheuristics to Augment DL Models Applied for Healthcare System 11. Intrusion Detection System for Healthcare System Using Deep Learning and Metaheuristics.