Название: Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare
Автор: Ghita Kouadri Mostefaoui, S.M. Riazul Islam, Faisal Tariq
Издательство: CRC Press
Год: 2023
Страниц: 328
Язык: английский
Формат: pdf (true)
Размер: 25.5 MB
Artificial Intelligence (AI) in general and Machine Learning (ML) and Deep Learning (DL) in particular and related digital technologies are a couple of fledging paradigms that next-generation healthcare services are sprinting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services will improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of chronic diseases such as dementia and diabetes. The general concept of deep learning-based architectures is presented. Additionally, some samples of Python codes in each step are provided so that you can comfortably and easily apply the Keras, Tensorflow, Scikit-learn, and OpenCV libraries with Python programming language to design your own automated system by following the steps and then train and evaluate them.