Looking at the significance of the dataset, two datasets i.e. 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 ...
The significance of the proposed model is checked by utilizing the cross-validation technique using the heart disease dataset. The proposed model based on ET-CNN successfully categorizes patient data, achieving 0.960, an average accuracy. Additionally, the recall, precision, and F1 scores for the ...
Aman Ajmera, Framingham Heart study dataset [online dataset]. Kaggle Inc; Publicado y actualizado 7 nov 2017. URL <https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset> (accessed 8 mar 2019), Versión 1. Google Scholar [17] J.J. Beunza, R-studio code for Machine Learning ...
In this work, we predict cardiac disease using the UC Irvine Cleveland dataset36. The collection consists of 303 cases, each of which depicts a patient who may have heart disease. The dataset is generated from actual patients with suspected cardiac disease, making it applicable to real-world ci...
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, and evolutionary were used. Then seven algorithms Ba...
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Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more OK, Got it.David Lapp · Updated 5 years ago arrow_drop_up1192New Notebook file_downloadDownload more_vert Heart Disease Dataset Public Health DatasetData...
file_downloadDownload Logs check_circle Successfully ran in 14.8s Accelerator None Environment Latest Container Image Output 0 B Time # Log Message 6.7s 1 <class 'pandas.core.frame.DataFrame'> 6.7s 2 RangeIndex: 1025 entries, 0 to 1024 6.7s 3 Data columns (total 14 columns): 6.7s 4...
Explore and run machine learning code with Kaggle Notebooks | Using data from Heart Disease Prediction Dataset
lightbulb See what others are saying about this dataset What have you used this dataset for? Learning 0Research 0Application 0LLM Fine-Tuning 0 How would you describe this dataset? Well-documented 0Well-maintained 0Clean data 0Original 0High-quality notebooks 0Othertext_snippet Metadataunfold_more...