Prognosis of Hyper Triglycerides Using Data Science and Machine Learning

Author:

S. Alagu Thangam 1,S. Vilma Veronica 1,G. Suresh 1,S. Hemalatha 1

Affiliation:

1. Department of Computer Science and Engineering, Kings Engineering College, Chennai, Tamilnadu, India

Abstract

Triglycerides are a type of fat. They are the most common type of fat in our body. They emanate from foods, especially butter, oils, and other fats we eat and also come from extra calories. These are the calories that we eat, but our body does not need right away. Our body naturalizes these extra calories into triglycerides and stores them in fat cells. When our body needs energy, it disseminates the triglycerides. Our VLDL cholesterol particles carry the triglycerides to our tissues. Hyper triglycerides can increase the risk of heart diseases in particular, CAD, stroke, liver, kidney and other chronic diseases. In recent years Data science is one of the progressing demense due to the profusion of data sources and resulting data. The realm of healthcare is substantially ameliorated from Data science and Machine Learning applications because of these intuitive solutions. Using Data science techniques and Machine learning algorithms with ANN, we can prognoses the disease. The WHF dossier says that every year nearly 4.4 million death occurs due to heart diseases and WHO says that nearly 2.6 million deaths occur due to cholesterol.

Publisher

Technoscience Academy

Subject

General Medicine

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