. ├── data │ ├── personal-key-indicators-of-heart-disease-dataset.csv │ └── personal-key-indicators-of-heart-disease-data-dictionary.md ├── pipeline # These could be docker containers related code, scripts, workflow related code, etc. │ ├── dags │ │ ├── ingestion_...
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 risk of future coronary heart disease (CHD).The dataset provides the patients’ information. It includes over 4,240 records...
We re-extracted two datasets related to all-cause mortality from the original dataset. We constructed graphs for both datasets based on the KNN approach22. The details of the experimental datasets are shown in Table1. All-cause death, Heart level, and Mace occurrence are CHD datasets derived f...
The first 20 images come from the original HVSMR dataset, and we subsequently chose an additional 40 cases that encapsulate a wider range of CHD subtypes. We aimed to create a balanced dataset that samples the different heart defects and their combinations as uniformly as possible, so that any ...
Interactions between the gut microbiota, diet, and host metabolism contribute to the development of cardiovascular disease, but a firm link between disease-specific gut microbiota alterations and circulating metabolites is lacking. We performed shot-gun
The original dataset article [52] unfortunately does not indicate if any patient had primary kidney disease, and provides no additional information about what type of follow-up was carried out. Regarding the dataset imbalance, the survived patients (death event = 0) are 203, while the dead ...
The SNPs that were unavailable in the outcome dataset were searched for proxies in LDlink (R2 > 0.9). Outcomes We included all type of HF patients in our study, encompassing those HF with preserved as well as reduced ejection fraction. The summary level data of HF obtained from the ...
heart.csv added the dataset Apr 12, 2023 Repository files navigation README Predicting_Heart_Disease According to the World Health Organization (WHO), approximately 17.9 million individuals die each year due to cardiovascular diseases (CVDs). There are several risk factors that could contribute to an...
Dataset The dataset used in this project is derived from theHeart Disease Data Set. It contains various health metrics collected from individuals, which are used to train the machine learning model. Key Features in the Dataset: Age: Age of the individual. ...
integrated all these different feature types in an end-to-end DL architecture to conduct automatic, efficient, and optimal fusion. Moreover, scant attention has been given to the development of DL models for the detection of CHD, particularly on a large-scale pediatric ECG dataset45,46,47,48...