Abstract:

Nowadays, heart disease cases are increasing rapidly, and it is imperative and concerning to predict such diseases in advance. This diagnosis is a difficult task that should be performed precisely and efficiently. The use of machine learning techniques in the field of medical diagnosis has become increasingly popular due to their ability to analyze large datasets and extract hidden patterns. Reliably predicting future cardiovascular disease is therefore an important public health priority. Large quantities of information can be used to produce forecasts and predictions using machine learning (ML). Using the techniques described here, it is possible to predict if a person has coronary heart illness and provide them with records or a diagnostic, letting them know the risk. The analysis of complex and large medical datasets can be automated by using Machine Learning algorithms and techniques. As a result, we will be removing irrelevant and unnecessary functions from the dataset in order to enhance the model's overall performance. A reliable weather forecast has become increasingly important in today's rapidly changing world

Description:

Analysis of Predictions, Heart Disease, Machine Learning