Smart E-Healthcare Application For Predicting Choronic Diseases
Volume 6 - Issue 7, July 2023 Edition
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Author(s)
Denipitiya D V J, De Silva J D N S, Mandakini N D C, Nimasha K G K, Ms.Gaya Thamali Dassanayake
Keywords
kidney disease , lung cancer , machine learning, predicting systems, stroke, skin cancer.
Abstract
Chronic diseases have become a major public health concern, and early detection is crucial for effective treatment. This paper proposes a smart e-healthcare application that uses machine learning algorithms to detect chronic diseases in patients. The proposed application is designed to collect health data from patients and analyze it using machine learning techniques. The machine learning algorithms are trained using a dataset of patient health records to detect patterns and identify early signs of chronic diseases. The application will then provide patients with personalized recommendations for prevention and treatment of chronic diseases based on their health data. The proposed smart e-healthcare application can help healthcare providers to detect chronic diseases early, leading to better treatment outcomes and reduced healthcare costs. Patients can also benefit from the application by receiving personalized recommendations for improving their health and reducing the risk of chronic diseases. The application can be used in both clinical and non-clinical settings, making it a valuable tool for promoting health and wellness.
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