Review on Vitamin D Deficiency and Role of Machine Learning.

Abstract

Vitamin D deficiency is a widespread health problem with a variety of consequences for human health. It has severe influence on several body organs. Having sufficient amount of Vitamin d helps to reduce many several complications in the human body. People with insufficient Vitamin D are at higher risks of infections and other diseases. Incorporating recent trends of technologies can help to understand and study the different approaches in this field. Machine Learning plays important role in predicting the severity levels of Vitamin D deficiency by using its data analytic capabilities for large datasets identifying the patterns that are not immediately apparent to human researchers. This study aims to provide valuable insights into the potential of machine learning in enhancing the prediction of Vitamin D deficiency severity.