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
Coronary Heart Disease Prediction About the dataset: The "Framingham" dataset is publically available on the Kaggle website, and it is from an ongoing cardiovascular study on residents of the town of Framingham, Massachusetts. The classification goal is to predict whether the patient has 10-year ...
Coronary heart disease (CHD) is a serious cardiovascular disease (CVD)1that not only has a high mortality rate but also patients are prone to the risk of recurrence even after they are cured and discharged from the hospital, both of which are prognosis-oriented factors for poor outcomes. The...
Heart Disease prediction using 5 algorithms - Logistic regression, - Random forest, - Naive Bayes, - KNN(K Nearest Neighbors), - Decision Tree then improved accuracy by adjusting different aspect of algorithms. Final Dicision tree Dataset source (link) ...
This study aims to train the model with all the essential attributes for heart disease prediction on Framingham Heart Study (FHS) dataset. The dataset is pre-processed with IQR (Inter Quartile Range) outlier detection followed by data oversampling using Synthetic Minority Oversampling Technique (...
Disease prediction Using the test dataset, evaluate the trained model using relevant evaluation measures including accuracy, precision, recall, and F1-score. Using the trained model, forecast the likelihood that a new patient will be diagnosed with heart disease based on the feature values of the ...
Heart Disease Prediction Model The Project: Uses machine learning methods to make a classification model. Made in Jupyter Notebook environment. Currently uses plotly for data visualization. (back to top) Languages used: Python (back to top) Updates Load in .csv dataset using tensorflow and panda...
we evaluated the performances of the trained model on the internal test set and two external test sets. See the CHD prediction performances (sub-types are not distinguished) in Table1, both the specificity and sensitivity of CHD detection exceeded 0.8 on the internal test set. On the two exte...
Heart disease is a fatal human disease, rapidly increases globally in both developed and undeveloped countries and consequently, causes death. Normally, in this disease, the heart fails to supply a sufficient amount of blood to other parts of the body in
Further and somewhat unexpectedly, some variables that are clearly predictive of coronary disease, such as blood levels of LDL-cholesterol, were not included in the dataset; a much more precise model could be obtained by using more information of risk factors of the participants. The possibility ...