2020
DOI: 10.1007/978-3-030-51859-2_45
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A Prediction of Heart Disease Using Machine Learning Algorithms

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Cited by 14 publications
(7 citation statements)
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“…Krishnan and Geetha (Ansari et al, 2021) suggested a system for predicting the possibilities of heart disease in terms of percentage. Classifiers algorithms such as DT, NB were used to improve the accuracy level.…”
Section: Heart Rate Diseasementioning
confidence: 99%
“…Krishnan and Geetha (Ansari et al, 2021) suggested a system for predicting the possibilities of heart disease in terms of percentage. Classifiers algorithms such as DT, NB were used to improve the accuracy level.…”
Section: Heart Rate Diseasementioning
confidence: 99%
“…ML is a computer program learning from data to build a highly accurate prediction model without human intervention or assistance. Plentiful studies have proven the dominant position of ML in building prediction models for complex projects, such as disease diagnosis, driverless vehicles, weather forecasts, and quantitative investments [ 17 , 18 , 19 , 20 , 21 ]. In addition, ML has been considered to be the most effective implementation to parse high-throughput genome data [ 22 ].…”
Section: Introductionmentioning
confidence: 99%
“… 10 A method named HealthFog was introduced to automatically minister cardiac victims utilizing internet of things (IoT) appliances and a deep learning prototype 11 15 The primary purpose of this method is to skillfully govern the cardiac sufferer record reaching from IoT appliances. One more unexplored method for a decision support system for illness diagnosis in sufferers was presented 16 …”
Section: Introductionmentioning
confidence: 99%