标题:UCI-Heart-Disease-Analysis 简介:本研究旨在对UCI数据库中的Heart_Disease_Dataset数据集进行深入的数据分析,并利用机器学习方法进行二分类预测。该数据集包含了心脏疾病相关的各种特征,如心电图、血压、心率等,是进行心脏疾病分析的重要资源。通过这些数据,我们能够更好地理解心脏疾病的模式,并为未来的诊断和治疗...
Heart disease is one of the major cause of death and disability in the world, killing million people a year. In recent times several work has been done to predict the possibility of heart disease, but only some factors measure the probability. In this paper we will analyze the possibility ...
1、数据集简介 heart disease数据集的下载 数据集下载地址: https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease heart disease数据集的使用方法
1、数据集简介 heart disease数据集的下载 数据集下载地址: https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease heart disease数据集的使用方法 相关文章
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,
Dataset The dataset includes health indicators such as BMI, smoking status, alcohol consumption, stroke history, physical activity levels, and more. Sample Data (First 10 Rows) HeartDiseaseBMISmokingAlcoholDrinkingStrokePhysicalHealthMentalHealthDiffWalkingSexAgeCategoryRaceDiabeticPhysicalActivityGenHealthSleepTi...
N. Suneetha ,Ch.V.M.K.Hari and Sunil Kumar ‖ Modified Gini Index Classification: A Case Study Of Heart Disease Dataset‖ (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 06, 2010, 1959-1965N. Suneetha CH.V. M. K. Hari and V. Sunil Kumar Modified Gini...
S2 (Hungarian heart disease dataset) as well, to know the impact of selected features on the classification performance. Tables 7 and 8 shows the performance of the ET classifier using 10-fold CV in combination with different feature sub-spaces starting from 1 to 12 with a step size of 1....
Chitra, R., Seenivasagam, V. (2013). Knowledge Discovery from Heart Disease Dataset Using Optimized Neural Network. In: Prasath, R., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8284. Springer, Cham. https://doi.org/...
the patient is either healthy or sick. Therefore, heart disease prediction in this pipeline is a classification problem. The dataset used in this pipeline contains 14 feature fields and one goal field. During data preprocessing, the values of each field must be converted to numbers based on the...