[Retracted] Internet of Medical Things (IoMT)‐Based Smart Healthcare System: Trends and Progress

J Srivastava, S Routray, S Ahmad… - Computational …, 2022 - Wiley Online Library
Internet of Medical Thing (IoMT) is the most emerging era of the Internet of Thing (IoT), which
is exponentially gaining researchers' attention with every passing day because of its wide …

IoT in smart cities: A survey of technologies, practices and challenges

AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Smart Cities, 2021 - mdpi.com
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …

Smart healthcare support using data mining and machine learning

T Chatzinikolaou, E Vogiatzi, A Kousis… - IoT and WSN based Smart …, 2022 - Springer
Ever since the first cities were created, they have been dependent on technology to sustain
life. The smart city paradigm integrates advanced monitoring, sensing, communication, and …

Chronic kidney disease prediction using data mining

J Snegha, V Tharani, SD Preetha… - … on Emerging Trends …, 2020 - ieeexplore.ieee.org
In this doing of chronic kidney disease diagnosis, we have diagnosed kidney-related
diseases using various data mining techniques, and in that, our overall objective is not to …

Artificial intelligence for sustainable smart cities

P Mishra, G Singh - … Smart Cities: Enabling Technologies, Energy Trends …, 2023 - Springer
In this chapter, an application of artificial intelligence (AI) in the sustainable smart city
operations is presented. The AI includes expert systems, natural language processing …

Artificial Intelligence and loT for Smart Cities

SA Bhosale - Smart Urban Computing Applications, 2023 - taylorfrancis.com
According to United Nations predictions by 2050, the world's population will reach 9.7
billion, with 70% living in urban areas. Resources like energy, water supply, drainage, and …

A hybrid approach for predicting diseases using clustering and classification techniques

B Geluvaraj, K Santhosh, N Prabhu… - … on Advances in …, 2022 - ieeexplore.ieee.org
Machine learning plays an important role in image identification, data mining, processing of
natural languages and diagnosis of diseases. It gives feasible results in various fields …

An Intelligence System for Medicine Recommendation

N Varshney, S Ahuja - 2021 5th International Conference on …, 2021 - ieeexplore.ieee.org
A disease detection system may suggest care with selecting an exact disease to the patient.
The technologies available today can assist us in developing such referral systems that can …

IoT Enabled Ubiquitous Healthcare System using Predictive Analytics

S Mohapatra, A Sahoo, S Mohanty, D Singh - Procedia Computer Science, 2023 - Elsevier
The recent pandemic has shown its different shades across various solicitations, especially
in the healthcare sector. It has a great impact on transforming the traditional healthcare …

Cloud computing and machine learning for analysis of health care data based on neuro fuzzy logistic regression

B Dhiyanesh, M Rameshkumar… - Journal of Intelligent …, 2023 - content.iospress.com
Healthcare data is the most sensitive information for processing through machine learning
and cloud computing in the various healthcare organizations. Electronic Health Record …