Cited By
View all- Zhou FHu SDu XWan XLu ZWu J(2023)Lidom: A Disease Risk Prediction Model Based on LightGBM Applied to Nursing HomesElectronics10.3390/electronics1204100912:4(1009)Online publication date: 17-Feb-2023
ANFIS Models for Heart Disease Prediction
Pages 32 - 35
Abstract
Coronary heart disease is the one of the most common diseases and a major cause of death internationally. The early detection and prediction of such disease is thus very important for human life. Currently, the Adaptive Neural Fuzzy Inference System (ANFIS) is increasingly becoming popular in the field of prediction and diagnosis of medical disease, because ANFIS can arrive at the definite conclusion by dealing with ambiguous, imprecise and vague information in activities or processes. This paper reviews the application of ANFIS in the field of heart disease prediction, as well as some innovative combinations of ANFIS and other techniques for clinical decision support on heart disease diagnosis. Finally, we identify ideas for future work aiming to improve ANFIS model.
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Published In
March 2021
246 pages
ISBN:9781450388634
DOI:10.1145/3461353
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Published: 04 September 2021
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ICIAI 2021
ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence
March 5 - 8, 2021
Xia men, China
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Cited By
View all- Zhou FHu SDu XWan XLu ZWu J(2023)Lidom: A Disease Risk Prediction Model Based on LightGBM Applied to Nursing HomesElectronics10.3390/electronics1204100912:4(1009)Online publication date: 17-Feb-2023
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