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.
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.
The book acts as a guide, taking the reader into the smart system domain and providing theoretical and practical knowledge along with case studies in smart healthcare.
Conquer data hurdles, supercharge your ML journey, and become a leader in your field with synthetic data generation techniques, best practices, and case studiesKey FeaturesAvoid common data issues by identifying and solving them using synthetic data-based solutionsMaster synthetic data generation approaches to prepare for the future of machine learningEnhance performance, reduce budget, and stand out from competitors using synthetic dataPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe machine learning (ML) revolution has made our world unimaginable without its products and services.
Learn How Coupling Impacts Every Software Design Decision You Make--and How to Control It If you want to build modular, evolvable, and resilient software systems, you have to get coupling right.
The book examines the integration of IoT, Blockchain, and Smart Healthcare, providing a comprehensive analysis of these advanced technologies and their impact on the healthcare industry.
This book constitutes the refereed proceedings of the workshops which complemented the 23rd Symposium on Formal Methods, FM 2019, held in Porto, Portugal, in October 2019.
There has been a lot of innovation in systems engineering and some fundamental advances in the field of optics, imaging, lasers, and photonics that warrant attention.
