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A public health dataset focused on heart disease, available for download and analysis on Kaggle.
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Refresh. Predictive Factors and Risk Assessment for Coronary Heart Disease (CHD)
The dataset is publically available on the Kaggle website, and it is from an ongoing ongoing cardiovascular study on residents of the town of Framingham, Massachusetts. The classification goal...
The dataset for this project was sourced from Kaggle, encompassing demographic information (age and sex), and clinical parameters, such as type of chest pain (cp), resting blood pressure (trtbps), serum cholesterol (chol), fasting blood sugar (fbs), and resting electrocardiographic results (restecg).
Jan 4, 2024 · In order to validate the model performance on diverse dataset, we used the cardiovascular disease dataset, which is freely available on Kaggle. This dataset consists of 70,000 instances...
Jul 1, 2024 · In this video, we will explore how to use Kaggle, a popular platform for data science and machine learning competitions, to analyze heart disease data. Kaggle provides datasets, coding environments, and a community of data scientists to help you enhance your data analysis skills.
The cardiovascular disease dataset is an open-source dataset found on Kaggle. The data consists of 70,000 patient records (34,979 presenting with cardiovascular disease and 35,021 not presenting with cardiovascular disease) and contains 11 features (4 demographic, 4 examination, and 3 social history):
Dataset: The dataset used in this project is a subset of the Kaggle heart disease dataset , containing 14 features. For this Flask app, we are specifically focusing on the following three features: Age: Age of the patient in years. Chol: Serum cholesterol level in mg/dl.
Dec 21, 2023 · For this study, I am performing an exploratory data analysis on a Kaggle dataset on Cardiovascular diseases with the aim of discovering meaningful insights and hopefully, in the nearest...
