Enhancing Heart Disease Prediction Accuracy Using Deep Learning Techniques

Nowadays every person has a busy life and their current lifestyle often leads to their life into anxiety, unhealthy, depression, life disorder, and mental illness, diseases diagnosis is one of the sectors witnessing tremendous growth, number of techniques are applied for the diagnosis of diseases to predict efficiently and find accurate accuracy. Artificial intelligence and its subset like machine learning and deep learning techniques are used for disease diagnosis; deep learning is an extended version of machine learning techniques that work on a large amount of datasets. This research article presents the disease diagnosis performance analysis using ML and DL techniques, and finds the comparative performance analysis using some parameters like accuracy, precision, recall, and F1-score, here for the experimental results use kaggle datasets.