heart_disease_prediction 心脏病UCI数据集 该实验只是根据心脏病的缺席情况简单地预测心脏病的存在。 1.关于数据集: 该数据集在Kaggle( )上提供。 并且可以从UCI机器学习存储库( )中获得。 数据包含总共14个属性,如下所示。 属性说明 年龄:岁 性别:性别(1 =男性; 0 =女性) cp:胸痛类型 值1:典型心绞痛值2...
UCI_MLRepository is the cardiac disease-related publicly available dataset99. Every clinical case out of 303 includes a target attribute among a total of 76 features. The target attribute is represented by an integer ranging from 0 to 4, where 0 indicates a heart patient and values in the ...
A summary of related research in cardiovascular disease diagnosis is presented in Table 1. Table 1. Summary of Research related to Cardiovascular Disease Diagnosis. ScholarDatasetYearModelPerformanceTechnology Ahmad et al. [11] Hungary, Switzerland &; Long Beach V and UCI Kaggle 2022 XGBoost accuracy...
this study compares multiple classification algorithms utilizing two separate heart disease datasets from the Kaggle repository and the University of California,Irvine(UCI)machine learning repository.In a comparative analysis,Mean Absolute Error(MAE),Relative Absolute Error(RAE),precision,recall,fmeasure,and...
The present study examines the role of feature selection methods in optimizing machine learning algorithms for predicting heart disease. The Cleveland Heart disease dataset with sixteen feature selection techniques in three categories of filter, wrapper,
Both datasets were acquired from the heart diseases repositories where dataset_1 was taken from the University of California, Irvine (UCI) and dataset_2 was from Kaggle.Enas M. Abd AllahElectronics and Communications DepartmentDoaa E. El-MataryElectrical Engineering DepartmentEsraa M. EidAdly S....
the Cleveland heart disease dataset S1 and Hungarian heart disease dataset (S2) are used, which are available online at the University of California Irvine (UCI) machine learning repository and UCI Kaggle repository, and various researchers have used it for conducting their research studies28,31,32...
The goal of this research is to develop a self-attention-based transformer model for assessing CVD risk utilizing the Cleveland dataset. This dataset contains a variety of medical and non-medical components that can be used to identify whether a patient has cardiac disease. The dataset comprises ...
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