Smart City Healthcare System for Survival Forecast of Cardiac Attack Situation Using Machine Learning Techniques

Abstract

Smart cities are going through enormous moves in technology and operations in recent days, and ‘data science' is driving the change in the current age of the Fourth Industrial Revolution (Industry 4.0). Data science is typically the scientific study and analysis of actual happenings with historical data using a variety of scientific methodologies, machine learning techniques, processes, and systems. In this paper, the authors focus on and investigate the “smart city healthcare,” where data for the city gathered from different origins like sensors, devices connected with the internet, or more exterior origins, is being extracted for perceptions and secret associations to improve decision-making procedures and convey superior and further smart facilities to residents. To attain this intention, machine learning methodical design can be utilized to deliver extensive proficiency about data collected, which builds the computing process more practicable and smarter in different actual city facilities.