• Loveena Bansal

The medical sector is improving day by day in providing healthcare facilities with the help of technological advancement, one such sector is prediction and analysis of diseases. There are so many prediction models developed to analyze cancer, diabetes, brain trauma etc. The main problem that is currently going on is awareness about a disease. We consume anything today without keeping a track of what are we eating and how much consumption of it is good for our health. Due to this, we might get a victim of any severe diseases and we are unaware of what is going on with us. Most of the times we reach critical situations for which treatments are very difficult and uncertain. This paper aims an idea to develop a prediction model which is capable enough to analyze and predict the problems that a person might face in the future based upon current food consumption habits. Here, we will discuss the significance and relevance of having such a useful prediction model. This paper also mentions several technological trends that can be used to prepare such models like cloud storage, data mining, prediction analysis, and machine learning algorithms and techniques.

Data Mining, Predictive Analysis, Diagnostic and Prognostic.

"HEALTH CARE WITH INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.562-565, June-2019, Available :http://www.jetir.org/papers/JETIR1906B91.pdf

"HEALTH CARE WITH INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp562-565, June-2019, Available at : http://www.jetir.org/papers/JETIR1906B91.pdf