… in their private parts can use the smart healthcare system for diagnosis and … deep learning
algorithm is improved according to the feasibility of the system to construct a smart healthcare …

… Secondly, we investigate three areas in artificial intelligence, including deep learning,
neural network and machine learning. Third, we explore some applications of deep learning for …

… smart healthcare system is presented for patients’ discomfort detection and monitoring using
a deep learning … from the top view, and a deep-learning-based model applied to detect …

… Smart healthcare system is made up of various types of stakeholders like clinicians,
patients, doctors along with other organizations. Even some hospitals started the use of …

… smart healthcare system is proposed for heart disease prediction using ensemble deep
learning … data and electronic medical records to generate valuable healthcare data. Second, the …

… In this paper, the deep learning method is adopted to evaluate the human health status. The
input data of the deep learning model are the measured values after the standardization of …

… sectors including the healthcare sector. In this article, we suggest a smart healthcare framework
consisting of a pathology detection system, which is developed using deep learning. The …

… to the development of smart cities which act as a key … healthcare sector becomes advantageous
and offers different ways to manage patient information in order to improve healthcare …

… a smart city in which smart healthcare holds high prominence. Usage of sophisticated learning
… most powerful tools for decision making in clinical diagnosis leading to smart healthcare. …

… of deep learning (DL) techniques inside the healthcare sector, … healthcare professionals
and government with present-day inclinations in DL-based data analytics for smart healthcare…