The Integration of Machine Learning in information technologies: Future Trends and predictions

Abstract

Hypertension and high cholesterol can cause heart attack and heart failure. Therefore, preventative measures to effectively anticipate, diagnose, and control high hypertension and cholesterol levels are needed to reduce myocardial infarction risk and offer more effective treatment alternatives. The study used new machine learning models (SVM, LR, RF, and NB) to predict cardiac illnesses, which were not used in a prior study. The study utilized four new machine learning models (SVM, LR, RF, and NB) to predict cardiac diseases, which had not been previously studied. The study used a 1970–2023 dataset of UK males with cardiac issues. Results showed that machine learning methods have gained popularity and can predict cholesterol and hypertension. The study shows that machine learning algorithms lower hypertension and cholesterol. Machine learning techniques must be improved and tested on larger datasets.