Ai for autonomous health care on diabetes diagnostics DOI

Hari Kiran Vege,

Sri Kamal Yandamuri,

Jetti Vennela

et al.

Published: April 7, 2025

The project aims to improve diabetes prediction using Artificial Intelligence and Machine Learning (AIML) technologies. Diabetes is a chronic disease that needs be detected early monitored regularly. Conventional diagnostic methods are based on clinical evaluation laboratory tests, which time-consuming expensive. system uses cloud computing machine learning algorithms create scalable effective model. With patient health data like glucose levels, BMI, age, insulin the implements techniques Logistic Regression, Random Forest, Neural Networks estimate probability of diabetes. Integration with provides real-time analytics, security, easy access healthcare professionals.

Language: Английский

Ai for autonomous health care on diabetes diagnostics DOI

Hari Kiran Vege,

Sri Kamal Yandamuri,

Jetti Vennela

et al.

Published: April 7, 2025

The project aims to improve diabetes prediction using Artificial Intelligence and Machine Learning (AIML) technologies. Diabetes is a chronic disease that needs be detected early monitored regularly. Conventional diagnostic methods are based on clinical evaluation laboratory tests, which time-consuming expensive. system uses cloud computing machine learning algorithms create scalable effective model. With patient health data like glucose levels, BMI, age, insulin the implements techniques Logistic Regression, Random Forest, Neural Networks estimate probability of diabetes. Integration with provides real-time analytics, security, easy access healthcare professionals.

Language: Английский

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