Survey on Heart Disease Prediction Techniques

Heart Disease is a severe health disorder that has impacted numerous people allover the globe. Heart disease has recently overtaken other causes of death as the primary factor in the deaths of people in all age categories. Blood vessel function is impacted by heart illness, which also results in coronary artery infections that debilitate the patient’s body. In order to effectively treat cardiac patients to prevent the occurrence of a stroke or heart attack, early detection of heart disease is crucial. Wearable sensors and medical testing can prove effective in detecting cardiovascular disorders. With the aid of various DL techniques, the health industry needs to improve its ability to forecast cardiac attacks. Breathlessness, physical illness, and swollen feet include the frequently observed signs of heart disease. Because the current methods for heart disease diagnosis are less effective at early time detection, researchers work to develop an efficient method that can identify heart illness. The heart disease prediction process involves a number of steps. Some of these phases include pre-processing, feature extraction, and categorization.