Exploration of Monitoring and Detection of Blood Pressure via Machine Learning

Abstract

At beginning Machine Learning (ML) was only the endeavor of some computer geeks who wanted a program that can learn to play games by itself and the field of statistics which never employed any approaches based on computations. Now, it has developed into a independent field of study  that has provided us base to develop self learning functions.ML has also developed various algorithm for interpretation of text, email filtering, recognizing pattern, and several different commercial aspects. The best way to analyze the real world dataset is to use the algorithmic concepts of machine learning. The field of machine learning generally comes under the umbrella of artificial intelligence. It is generally based on pattern recognition. It contains many types of algorithms that might be supervised or unsupervised. Machine learning can be utilized to do much research in various sectors or Fields. Detecting human systolic blood flow and hypertension in humans is one of its areas in processing which has already proven a great help in humanity.