Acute stroke care: Experience of a tertiary care center in Delhi, the way to go

Abstract

ResultsThe research work was accomplished on the basis classification algorithms including training and test datsets along with well obtained characterized data. The classification process categorized the Alzheimer's disease in dataset and provides a better results. The feature relevance analysis displays the different important characteristics which are intended for better classification system. The random tree forms the classification rule to attain a zero error value. ConclusionsThe experiment is projected to prove the efficiency of the presentation of numerous classifiers to the Alzheimer's disease and dataset used in it. This help the patient to treat at the right time.