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Diabetes is a chronic disease with the potential to cause a worldwide healthcare crisis. According to International Diabetes Federation 382 million people are living with diabetes across the whole world. By 2035, this will be doubled to 592 million. To facilitate early detection, we are developing a website that employs a machine learning approach. This project responds by developing a machine learning-based website for early detection. Employing a Support Vector Machine Algorithm, it integrates new data with existing datasets, forming a robust predictive framework. Following diabetes…mehr

Produktbeschreibung
Diabetes is a chronic disease with the potential to cause a worldwide healthcare crisis. According to International Diabetes Federation 382 million people are living with diabetes across the whole world. By 2035, this will be doubled to 592 million. To facilitate early detection, we are developing a website that employs a machine learning approach. This project responds by developing a machine learning-based website for early detection. Employing a Support Vector Machine Algorithm, it integrates new data with existing datasets, forming a robust predictive framework. Following diabetes prediction, the website offers users personalized diet plans, addressing individual health needs.
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Autorenporträt
N. Raghava Rao has excellent academic background. He has 15 years of teaching experience. He is currently working in Dept of INFORMATION TECHNOLOGY, Institute of Aeronautical Engineering Dundigal, Hyderabad. He holds post graduate degree in M. Tech, qualified TS-SET in computer science and application and now pursuing Ph.D. in computer science.