Titlebook: Intelligent Systems Modeling and Simulation III; Artificial Intellige Samsul Ariffin Abdul Karim Book 2024 The Editor(s) (if applicable) an

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Machine Learning Based Smart Health Monitoring System for COVID-19, system aims to monitor COVID-19 symptoms, alleviating the burden on the healthcare system. A proposed Health Monitoring System meticulously tracks various characteristics closely linked to COVID-19 symptoms and is categorized into four parts: Sensor, Data Processing, Connectivity & Cloud, and User

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New Neural Network Framework for Medical Intelligent System, and health management systems. Later, researchers introduced a new framework called Medical Intelligent System (MIS) based on a new neural network. The new framework addresses special medical tasks such as patient management, diagnosis, image recognition and leveraging advanced machine learning tec

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A Comparative Analysis of Machine Learning-Based Prediction for Heart Disease Detection,Therefore, early and accurate detection is crucial for successful treatment and timely recovery. This chapter explores machine-learning techniques and clinical assessments to evaluate their performance in detecting heart-related disorders. This chapter also investigates the limitations and challenge

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Deep Learning for Air Pollution Predictive,the countries due to population density, emission from vehicle and industry. It leads to serious health issue [.]?to all the people. Accurate measure of air quality is one of the major challenges and it is necessary to enable the government to take necessary steps to reduce the air pollution. This c

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