rifqinvnd/Stroke-Disease-Classification
Detection (Prediction) of the possibility of a stroke in a person
This project helps healthcare professionals and medical researchers predict the likelihood of a person having a stroke. By inputting patient data such as age, medical history (hypertension, heart disease), lifestyle factors (smoking status), and body measurements (BMI, glucose level), it outputs a prediction of whether they are at risk for a stroke. This tool is designed for medical practitioners to aid in early detection and preventative care.
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Use this if you need an early warning system to identify individuals who are at high risk of experiencing a stroke based on their health profile.
Not ideal if you require a diagnostic tool for immediate, acute stroke cases or need to analyze complex imaging data like MRIs or CT scans.
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Last pushed
Jul 09, 2022
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