E-Healthcare System for Lung Cancer Prediction Using IOT and Machine Learning

Abstract

Research on healthcare services and Internet of Things (IoT)-powered sensing devices has increased recently. It's critical to move away from a hospital-centric paradigm and toward one that emphasizes individual care given the skyrocketing expenses of healthcare and the wide range of diseases that afflict people globally. IoT and cloud computing are closely connected, allowing us to monitor patients even in remote areas. The cloud offers virtually limitless capabilities and resources, helping to overcome technical challenges like memory and computational power. By leveraging an IoT-centric cloud model, we can create innovative sector. This paper introduces a healthcare system that combines IoT and cloud technology for disease diagnosis. On a related note, lung cancer remains a significant contributor to rising mortality rates, with around 1.2 million new diagnoses each year. Research shows that early detection can improve survival rates, but identifying the disease early on is quite challenging. Unfortunately, only about one-third of patients are diagnosed at the early or middle stages of cancer.