| Title | : | Nature-Inspired Optimization Methodologies in Biomedical and Healthcare |
|---|---|---|
| Author | : | Janmenjoy Nayak, Asit Kumar Das, Bighnaraj Naik, Saroj K. Meher & Sheryl Brahnam |
| Release | : | 2022-11-14 |
| Kind | : | ebook |
| Genre | : | Computers & Internet, Books, Professional & Technical, Engineering, Medical |
| Size | : | 37480570 |
| This book introduces a variety of well-proven and newly developed nature-inspired optimization algorithms solving a wide range of real-life biomedical and healthcare problems. Few solo and hybrid approaches are demonstrated in a lucid manner for the effective integration and finding solution for a large-scale complex healthcare problem. In the present bigdata-based computing scenario, nature-inspired optimization techniques present adaptive mechanisms that permit the understanding of complex data and altering environments. This book is a voluminous collection for the confront faced by the healthcare institutions and hospitals for practical analysis, storage, and data analysis. It explores the distinct nature-inspired optimization-based approaches that are able to handle more accurate outcomes for the current biomedical and healthcare problems. In addition to providing a state-of-the-art and advanced intelligent methods, it also enlightens an insight for solving diversified healthcare problems such as cancer and diabetes. |
