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The use of DBN to establish a deep learning-based cardiovascular disease prediction model is an important entry point to solve the problem of accuracy and stability of prediction models. 3.2. Phase 1: Forecasting Model Based on Deep Belief Network Machine Learning – particularly Deep Learning algorithms – have recently made huge advances in automatically diagnosing diseases, making diagnostics cheaper and more accessible. How machines learn to diagnose. Machine Learning algorithms can learn to see patterns similarly to the way doctors see them.

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Learn how to use deep learning, predictive analytics, and artificial intelligence to predict employee turnover rates. Learn about a neural network model that is capable of identifying employee candidates with a high risk of turnover, accomplishing this task with around 96% accuracy.Deep learning algorithm chooses its own features unlike the machine leaning making the prediction process easier for the end user as it does not use much of pre-processing. 7 Supervised Learning Supervised learning is a data mining chore which concludes a function from a characterized training data which contains series of training instances.

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Heart disease prediction using deep learning

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Keywords: Medical Chatbot, Dialogflow, Heart Disease Prediction, python, Support Vector Machine (SVM), ngrok, Machine Learning, Appointment Booking System. 1. INTRODUCTION A chatbot is an AI-based software application that performs an automated task that can simulate a conversation (or

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Heart disease is a broad term that covers many heart-related problems and conditions, from an abnormal heartbeat and birth defects to a buildup of Get the facts on how to manage heart disease here. Also learn about causes, risk factors, and the general outlook for people with heart disease.

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prediction and diagnosing of heart disease . The main goal of this work is the prediction of the heart disease using machine learning algorithms. Compar ative performances of machine learning algorithms are interpreted through graphical representations. Thomas and Princy [18] conducted a survey on various classification techniques