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A public health dataset focused on heart disease, available for download and analysis on Kaggle.
Jun 16, 2024 · This data set consists of age , gender and fields related to heart like cp, cholesterol , blood pressure The "target" field refers to the presence of heart disease in the patient. It is integer valued 0 = no disease and 1 = disease. grid_3x3agesort. Age of Patient. grid_3x3gendersort. Gender of Patient. grid_3x3cpsort. Constrictive pericarditis.
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):
Jan 4, 2024 · Introduction. Heart disease refers to any condition that impairs the heart’s capacity to function normally. In recent years, CVD has become the leading cause of death in the world....
1 day ago · 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. This tutorial is perfect for students, professionals, or anyone ...
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).
