Cardiovascular diseases (CVDs) are the primary cause of death worldwide.
If these are not detected early and are not treated on time, one may lose a life. Despite
using various measures and standards by doctors, the disease is unpredictable and has a
significant death toll. Artificial intelligence (AI) techniques have been introduced to
predict the outcome and utilization of machine learning (ML) techniques in diversified
areas, showing promising results to make it more sophisticated for both medical
professionals and patients. In this chapter, a cardiovascular disease preventive
prediction and medication (CVDPPM) model has been developed, which utilizes
various communication models for assisting the patients through constant monitoring
of heart rate and blood pressure. The main focus of CVDPPM is to predict the early
occurrences of artery disease, stroke, and heart failure. It helps notify the nearest
cardiologist and medical team with all needed reports for immediate and appropriate
medical treatment to save the patient's life. The proposed model fastens the medical
procedure by alerting the regular consulted doctor and the family about the patient's
condition and medical reports immediately.
Keywords: AI, Cardiologist, Cardiovascular diseases, Cloud storage, CVDPPM, Modeling and training.
