JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
An AI based smart cardiac monitor.
Akhila L S, Sunitha G P
Machine learning (ML) is one of the subcategories of artificial intelligence, starts with data observations. The timeliness in arriving at the right decision in dealing with patients is another crucial factor commonly practiced in the medical discipline. In this area, AI, particularly the ML and deep learning, come in handy in assessing the condition based on the data that is usually bulky in the healthcare industry. Thus, high incidence of heart disease continues to claim several lives each year in India. The WHO has opined that stroke is one among the few diseases that can actually be foretold and hence prevented, had there been early measures put in place. The proposed system justify to predict cardiovascular disease with a lot more accuracy, using risk indicators incorporated with ML techniques such as decision trees. The specific records by which this study is assessable is the Kaggle UCI –Heart Failure, the dataset is composed of 12 attributes that could help in the prediction. Another critical phase within the performance analysis process is the preparation of the collected data. This has been achieved by the feature reduction, selection and prediction and is achieved by the implementation of decision tree algorithm and the constant accuracy of 96%.
Artificial Intelligence, Feature Reduction, Machine Learning