dimikara/Survival-Prediction-of-Patients-with-Heart-Failure
Training two models, one with with AutoML & one with HyperDrive, compare, and deploy the best model as a service - A Machine Learning Engineer Project
This project helps medical professionals or researchers predict a heart failure patient's survival based on their clinical data. You input a patient's medical records, including age, blood pressure, and lab results, and the system outputs a prediction of whether they are likely to survive. This is designed for healthcare data scientists or medical researchers who want to apply machine learning to patient outcomes.
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Use this if you need to build, compare, and deploy machine learning models to classify patients based on their risk of mortality from heart failure, leveraging Azure Machine Learning Studio.
Not ideal if you need a real-time, production-ready diagnostic tool, as this project focuses on the model development and comparison process rather than a fully integrated clinical application.
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Jan 25, 2022
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