Homo sapiens diabetes mellitus detection and classification

Abstract

Diabetes mellitus can be defined as a set of deficiency disorders which is caused due to under-secretion of insulin. In other words, it results in very high blood sugar levels. Diabetes mellitus influences and is influenced by various factors. Diabetes mellitus, if remains unidentified or untreated can lead to lethal disorders like a cardiovascular disease such as heart attack, narrowing of arteries, nerve damage, kidney damage, skin conditions, depression, and many such complications. Statistics suggest that human beings are getting affected by this disease at an alarming rate. Yet, it remains unidentified and hence untreated in most cases. Hence, machine learning is introduced in the field of biomedical sciences such that these disorders can be treated at a larger scale without conducting pathological tests. The below paper solely focuses on predicting over a set of features for every human that if the person has a tendency of high blood sugar or diabetes mellitus or not. Building the classifier includes libraries like Python, Numpy, Pandas, Matplotlib, Seaborn, Scikit Learn, and Scipy.