Heart Failure Prediction Using TensorFlow (Artificial Neural Network)

By Aark Deep Sarkar

Predicts whether a patient will survive or die in a case of heart failure using Artificial Neural Network and TensorFlow

The project predicts whether a patient will die or survive in a case of heart failure. The project uses Tensorflow and an Artificial neural network to build the model. The model is built in the dataset that includes age, anemia,creatinine_phosphokinase, ejection_fraction, high_blood_pressure, platelets, serum_creatinine, serum_sodium, smoking, time, DEATH_EVENT as the feature of the patient.
The dataset has 299 testing instances of shape (299 x 12) to build the model.
The user interface is developed using Streamlit. The user interface allows the user to give the features(test values) of the patient as input and using the Artificial Neural Network Model it predicts whether the patient will survive or not