State-of-the-Art Artificial Intelligence Techniques in Heart Disease Diagnosis

Nazir, Nahida; Rajab, Sharifa; Sharma, Vinod

doi:10.1007/978-981-13-2285-3_76

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…Nazir wt al. [7] proposed an adaptive neural-fuzzy inference system to predict heart disease in the Cleveland Database. All 13 features are used for this purpose.…”

Section: Related Workmentioning

confidence: 99%

Algorithm of Predicting Heart Attack with using Sparse Coder

Mohamadzadeh,

Ghayedi,

Pasban

et al. 2023

IJE

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One of the most serious causes of disease in the world's population, which kills many people worldwide every year, is heart attack. Various factors are involved in this matter, such as high blood pressure, high cholesterol, abnormal pulse rate, diabetes, etc. Various methods have been proposed in this field, but in this article, by using sparse codes in the classification process, higher accuracy has been achieved in predicting heart attacks. The proposed method consists of two parts: preprocessing and sparse code processing. The proposed method is resistant to noise and data scattering because it uses a sparse representation for this purpose. The spars allow the signal to be displayed at its lowest value, which leads to improve computing speed and reduce storage requirements. To evaluate the proposed method, the Cleveland database has been used, which includes 303 samples and each sample has 76 features. Only 13 features are used in the proposed method. FISTA, AMP, DALM and PALM classifiers have been used for the classification process. The accuracy of the proposed method, especially with the PALM classifier, is the highest among other classifiers with 96.23%, and the other classifiers are 95.08%, 94.11% and 94.52% for DALM, AMP, FISTA, respectively.

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“…Nazir wt al. [7] proposed an adaptive neural-fuzzy inference system to predict heart disease in the Cleveland Database. All 13 features are used for this purpose.…”

Section: Related Workmentioning

confidence: 99%

Algorithm of Predicting Heart Attack with using Sparse Coder

Mohamadzadeh,

Ghayedi,

Pasban

et al. 2023

IJE

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A novel generalized fuzzy intelligence-based ant lion optimization for internet of things based disease prediction and diagnosis

Verma

Agarwal

Gupta‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

2022

Cluster Comput

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In the modern healthcare system, the function of the Internet of Things (IoT) and the data mining methods with cloud computing plays an essential role in controlling a large number of big data for predicting and diagnosing various categories of diseases. However, when the patients suffer from more than one disease, the physician may not identify it properly. Therefore, in this research, the predictive method using the cloud with IoT-based database is proposed for forecasting the diseases that utilized the biosensors to estimate the constraints of patients. In addition, a novel Generalized Fuzzy Intelligence-based Ant Lion Optimization (GFIbALO) classifier along with a regression rule is proposed for predicting the diseases accurately. Initially, the dataset is filtered and feature extracted using the regression rule that data is processed on the proposed GFIbALO approach for classifying diseases. Moreover, suppose the patient has been affected by any diseases, in that case, the warning signal will be alerted to the patients via text or any other way, and the patients can get advice from doctors or any other medical support. The implementation of the proposed GFIbALO classifier is done with the use of the MATLAB tool. Subsequently, the results from the presented model are compared with state of the art techniques, and it shows that the presented method is more beneficial in diagnosis and disease forecast.

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Modeling of Heart Data using PSO and A-Priori Algorithm for Disease Prediction

Goel

Singh

2019

2019 Fifth International Conference on Image Information Processing (ICIIP)

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State-of-the-Art Artificial Intelligence Techniques in Heart Disease Diagnosis

Cited by 3 publications

References 14 publications

Algorithm of Predicting Heart Attack with using Sparse Coder

Algorithm of Predicting Heart Attack with using Sparse Coder

A novel generalized fuzzy intelligence-based ant lion optimization for internet of things based disease prediction and diagnosis

Modeling of Heart Data using PSO and A-Priori Algorithm for Disease Prediction

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