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Prediction of Diabetes Mellitus Using Machine Learning Techniques
(Englisch)
DE
RAMBABU, BANDI & Navya, CH.

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Diabetes mellitus or simply diabetes is a chronic disease that is caused when the insulin level in the blood increases. Several traditional methods are available for predicting diabetes but still early prediction of this disease is a challenging task because of the complex interdependence of various factors as this disease affects other organs of the body such as eyes, kidneys, nerves, heart and there may be early possibilities of death. With the advancement in machine learning, we can perform predictions on medical data which helps in the early prediction of disease.
Rambabu, BandiDr. Bandi Rambabu has received a B.Tech, M.Tech, and Ph.D. in CSE, Hyderabad, Telangana, India. Currently, he is working in the Department of CSE, CVR College of Engineering, JNT University. His current research interests include computer networks, wireless and mobile computing and wireless sensor networks, Internet of Things.

Über den Autor



Dr. Bandi Rambabu hat einen B.Tech-, M.Tech- und Ph.D.-Abschluss in CSE, Hyderabad, Telangana, Indien. Derzeit arbeitet er in der Abteilung für CSE, CVR College of Engineering, JNT University. Zu seinen aktuellen Forschungsinteressen gehören Computernetzwerke,drahtloses und mobiles Computing sowie drahtlose Sensornetzwerke und das Internet der Dinge.


Klappentext

Diabetes mellitus or simply diabetes is a chronic disease that is caused when the insulin level in the blood increases. Several traditional methods are available for predicting diabetes but still early prediction of this disease is a challenging task because of the complex interdependence of various factors as this disease affects other organs of the body such as eyes, kidneys, nerves, heart and there may be early possibilities of death. With the advancement in machine learning, we can perform predictions on medical data which helps in the early prediction of disease.



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