• Bhavin Patel
• Dr.Ajay Parikh

Anemia is an indicator of reduced red blood cell (RBC) and hemoglobin (HB). It affects nearly 1.62 billion individuals worldwide and 51% of women aged 15-49 are suffering through anemia in India. To predict the different types of anemia at an early stage of human life is important. Much research has been done in the past and still, researchers are doing research on the kind of anemia prediction problem using machine learning an alternate way. This paper is the crux of the study I did on the research done on a similar problem across the world. I did the investigation related to the issue of anemia some of the institutes of higher education in Gujarat. I identified the research gap and local relevance of the anemia prediction issue. Study leads me to the conclusion that there is a scope of improvement in the issue of anemia prediction using machine learning algorithm.

Anemia, RBC, HB, CBC, human life, Machine Learning, Prediction algorithms, healthcare.

"Search for an essential parameter & technique for effective prediction of disease using Machine Learning Technique.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.520-523, October-2018, Available :http://www.jetir.org/papers/JETIR1810687.pdf

"Search for an essential parameter & technique for effective prediction of disease using Machine Learning Technique.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp520-523, October-2018, Available at : http://www.jetir.org/papers/JETIR1810687.pdf