Evaluation of Smart City Healthcare Features (SCHF) through Machine Learning

Abstract

Internet of Things (IoT) approaches are allowing new creativities all over the world in smart cities. There is not any specific tool or criteria for calculate of worth for enable smart city for Healthcare area. There are many key emphasis as facts are on dealing with issues faced by urban cummunities sustainable but my work is moving around only the healthcare sector to prediction of it implementation valid criteria. My work is move around the Evaluation of Smart City Healthcare Features (SCHF) that is a Machine Learning(ML) methodology is core concept to successful implementation of the IoT-based wireless devices networks for this tenacity since there is huge amount of dataset to be handled & implemented. All over this paper, I have been take 17 city of Pakistan for evaluate its healthcare features as results that how AI-based IoT and ML devices with applications are applied in the healthcare sector. This work will be a model study for empathetic the role of the IoT in Health sector in smart cities.