Heart disease is a number one cause of death in the USA. True-Heart can predicts your risk of heart disease

Machine learning model TRUE-HEART was trained on data from the CDC surveyed in 2020.
The dataset contains more than 300,000 rows and 18 columns with different indicators.

BidiBomBom is a collaborative class project with Md Yousuf Reja and Maria Parra from Rice University.
We used a smaller dataset for our project and less indicators mostly ECG and blood tests to predict heart disease.


Behold TRUE-HEART: the model that can help you discover heart disease.

Technology and healthcare have joined forces to bring you True-Heart, a cutting-edge model designed to assist in the early detection of heart disease. While True-Heart is a powerful tool, it's important to note that it is not a replacement for professional medical advice. Always consult with a healthcare professional for personalized guidance.

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Thanh Dinh Le

Analyst with a background in Education. Looking to make a transition into a technical role focused on data analytics, using the skills I have learned from Rice University . Enjoys a role that presents daily opportunities to learn alongside solving unordinary problems.

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Md Yousuf Reja

Mr. Reja has five years of experience in GIS analysis and participatory planning, four years of experience in urban and hazard mitigation research. His goal on every project is to figure out how GIS can assist in the sustainable decision-making process.

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Maria Parra

Data Analyst from Houston. Currently enrolled at Rice University school of continuing studies. Looking to make a transition into a technical role focused on data, using skills obtained from Rice University.