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Inventi Rapid - Artificial Intelligence

Articles

  • Inventi:eai/31323/20
    MACHINE LEARNING TOOL FOR HEART DISEASE PREDICTION
    Hrishikesh Sarma*, Shakti Singh, Ashutosh Mandal, Jinali Virolia, Monika Sandhane

    Globally, heart diseases are the number one cause of death. About 80% of deaths occurred in low- and middle-income countries. WHO estimated by 2030, almost 23.6 million people will die due to heart disease. The healthcare industry generally clinical diagnosis is done mostly by the doctor’s expertise and experience. Computer-aided decision support system plays a major role in the medical field. The healthcare industry gathers enormous amounts of heart disease data which, unfortunately, are not “mined” to discover hidden information for effective decision making. With the growing research on heart disease predicting system, it has become important to categories the research outcomes and provides readers with an overview of the existing heart disease prediction techniques in each category. Data mining provides the methodology and technology to transform these mounds of data into useful information for decision making. By using data mining techniques it takes less time for the prediction of the disease with more accuracy. Neural Networks are one of many data mining analytical tools that can be utilized to make predictions for medical data.

    How to Cite this Article
    Hrishikesh Sarma, Shakti Singh, Ashutosh Mandal et al. Machine Learning Tool for Heart Disease Prediction. Inventi Rapid: Artificial Intelligence, 2020(2):1-5, 2020.
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