Year: 2025
Type: article
Abstract: The severity of ischaemic stroke ,the world Intricate connection in the 5110 patient health profiles Leading cause of death and disability ,can be that made up the health care dataset. Three potent Considerably decreased by early detection of stoke . Classifiers light gradient boosting machine(LGBM), The purpose of this research is to use cutting edge extreme gradient boosting(XGBoost),random forest Machine learning techniques to create a predictive (RF)_were integrated to create a stacking ensemble Model for ischaemic strock. This method u.se an model that improved the prediction capacity. Artificial neutral network(ANN).
Authors: Mohammed Abdul Mannan, Ibrahim Siddiqui, Bilal Rasheed, Arjumand Jamal
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411350292