Prediction of Heart Attack Risk with Data Mining by Using Blood Tests and Physical Datadoi:10.1007/978-3-031-52760-9_2The aim of this study was to more accurately predict the presence of heart disease using 12 characteristics: cholesterol, glucose, systolic blood pressure, diastolic blood ...
In a study to enhance heart attack prediction accuracy through ensemble classification techniques, Latha et al. concluded that a maximum of 7% accuracy improvement can be expected from ensemble classification for poor classifiers and those techniques such as bagging and boosting will be effective in ...
5. Heart disease has several types in which coronary artery disease (CAD) is the common one that can lead to chest pain, stroke, and heart attack. The other types of heart disease include heart rhythm problems, congestive heart failure, congenital heart disease (birth time heart disease), ...
[2]S. I. Ayon, M. M. Islam, and M. R. Hossain, “Coronary artery heart disease prediction: a comparative study of computational intelligence techniques,” IETE Journal of Research, 2020. [3]Patil, S. B. & Kumaraswamy, Y. Intelligent and effective heart attack prediction system using dat...
Intelligent and effective heart attack prediction system using data mining and artificial neural network Eur J Sci Res, 31 (2009), pp. 642-656 Google Scholar [7] Svetlana ulianova Cardiovascular disease dataset Retrieved from https://www.kaggle.com/sulianova/cardiovascular-disease-dataset (2019, ...
Explore and run machine learning code with Kaggle Notebooks | Using data from Heart Attack Analysis & Prediction Dataset
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Keywords: heart disease prediction;UCI Kaggle dataset;machine learning algorithms;GridSearchCV;hyperparameters
HeartDiseaseorAttack Ever diagnosed with coronary heart disease 0: No, 1: Yes MENTHLTH mental health includes stress, depression and emotional well-being 0: Excellent, 1: Very good, 2: Good, 3: Fair, 4: Poor PhysHlth physical activity status 0: Has engaged in physical activity or exercise...
Stage 1 and Stage 2 indicate the presence of heart disease whereas Stage 3 and Stage 4 are called chronic heart disease and the risk of a heart attack at any day in such patients is very high. The Data required for the prediction contains parameters such as Age, Sex, Blood Pressure, ...