
Автор: Rishabha Malviya, Naveen Chilamkurti, Sonali Sundram
Издательство: River Publishers
Год: 2022
Страниц: 431
Язык: английский
Формат: pdf (true)
Размер: 15.0 MB
Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, Artificial Intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life and death. AI is no single technology; however, it is a collection of various technologies whole together. Although most of the technologies have a significant and relevant role in the healthcare sector, the precise tasks and processes they support vary in nature. Therefore, we are choosing the specific AI technologies that are of great importance to the healthcare domain. One type of AI is machine learning. Additionally, it is a statistical tactic to learn through exercising the data model, and the connection between AI, Deep Learning, and learning related to the machine is used to describe how computers learn.