MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541134211 A) filed by Sri Krishna College Of Engineering And Technology, Coimbatore, Tamil Nadu, on Dec. 31, 2025, for 'effective heart disease prediction using hybrid machine learning techniques.'
Inventor(s) include Ms. Sudha. K; Ricky Joywin. R; Mohammed Suhail. J; and Roshith Ramasubramanian.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The heart Coronary disease (CAD), which results from coronary disappointment and cardiovascular collapse, is caused by atherosclerosis in the coronary arteries. An invasive, costly, time-consuming, and unusually precise technique called angiography is performed to confirm the existence of CAD. Therefore, specialists are urged to use other methods, such as AI computations that might analyses cardiac sickness and assess its reality using non-nosy clinical data. We present a unique cream strategy for CAD end in this research using relationship-based correlation based feature subset (CFS) selection with particle swam optimization (PSO) search method and K-Means clustering algorithms. Supervised learning algorithms such as multi-layer perceptron (MLP), multinomial logistic regression (MLR), fuzzy unordered rule induction algorithm (FURIA) and C4.5 are used to illustrate CAD examples. Clinical data from the Department of Cardiology at the Indira Gandhi Medical College in Shimla, India, which includes 26 characteristics and 335 events, was used to evaluate our methodology. Our approach's efficacy in precisely diagnosing CAD is evaluated using performance metrics like accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC), indicating its potential to provide a dependable substitute for invasive diagnostic procedures."
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