MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641052022 A) filed by Ch V Ganesh; and St. Peter's Engineering College, Hyderabad, Telangana, on April 23, for 'an improved system for early detection of chronic kidney disorder employing logistic regression with demographic and healthcare data.'
Inventor(s) include Mr. K E Ch Vidyasagar; Mrs. Ambati Supraja; Mrs. P Amaleswari; Mr. Poola Mallikarjun; Mr. M Sathiyaseelan; Mr. Jella Naresh; Mr. Voruganti Santhosh Kumar; Mrs. Dasari Divya; and Mrs. Vempati Vineetha.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "This invention uses clinical and demographic data to optimize a prediction model based on logistic regression for the early diagnosis of chronic kidney disease (CKD). To improve classification accuracy and interpretability, the framework incorporates feature selection methods and hyperparameter adjustment. In contrast to conventional methods, this framework analyzed against SVM, Random Forest, Decision tree to ensure comparative robustness. The findings shows the suggested method outperforms current models with an accuracy of 97% with low level of complexity. Important health issues were identified throughout system's 30-day examination of this invention, including 16 instances of BP exceeding the 135mmHg threshold, indicating increased risks of hypertension, stroke. When patient's serum creatinine levels exceed the 1.45 mg/dL threshold for ten days and indicating the existence of an underlying renal issue, present invention is especially pertinent. By providing an early-warning system, enhancing medical professionals' decision-making, and facilitating prompt interventions, this research advances individualized healthcare."
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