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A public health dataset focused on heart disease, available for download and analysis on Kaggle.
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2022 annual CDC survey data of 400k+ adults related to their health status.
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).
5 days 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 ...
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...
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):
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy. - kb22/Heart-Disease-Prediction
Mar 10, 2023 · Dataset We have used the Heart Disease dataset, which is available on the Kaggle platform. This dataset contains information about 303 patients and their health condition. It consists...
