Facial-Based Cardiovascular Diseases Identification for Periodontal Disease Patients using Deep Learning Modified Neural Networks

Abstract

Challenging factor involved in the prediction of Cardio vascular Disease(CVD)plays a major role in a human health organization. Many prediction strategies still problematic for high-risk patients, most commonly the patient with continuous monitoring like elderly care and other correlated decease can lead to sudden Cardiovascular death (stroke, periodontal disease, etc) can involve in the high-risk category. The measurement and prediction always based on various testing factors involved in blood pressure, ECG, etc. Face emotional expression is a sort of discomfort behavior that gives the impression to be a universal factor of the pain experience. The remote heart rate measurement plays an important role in high-risk patients.In this paper, the facial-based Cardiovascular diseases are identified for periodontal disease patients using deep learning modified neural networks. The patient with periodontal disease can possible increased chance of Cardiovascular diseases. the classification can also be based on other testing consequences.