BenyaminZojaji/Decision-Trees
Classification Decision Trees
This tool helps healthcare practitioners or researchers analyze patient data to predict the likelihood of a heart attack. You input various patient health metrics like age, sex, chest pain type, and cholesterol levels. The output is a clear classification of whether a patient has a higher or lower chance of a heart attack. This is ideal for medical professionals seeking to understand risk factors.
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Use this if you need to quickly assess heart attack risk based on common patient health indicators.
Not ideal if you require a diagnostic tool for individual patient treatment planning or if you are looking for an explanation of the underlying biological mechanisms.
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Jupyter Notebook
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Last pushed
Mar 16, 2022
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