• Jayant Deshmukh
• Sanket Kaspate
• Rajan Saroj
• Umesh Khot
• Sunita Nandgave

In health sector immune plays vital role, knowing about our immune is important. Prior detection of low immune can help person to improve immune in order to protect our body from harmful germs and viruses. Data processing is done with the help of factors like RBC counts, WBC counts, HB, MCV ,MCH ,MCHC, Neutrophils and platelet count . Observing and identifying of immune isn't an easy task to do manually because it takes a lot of time, resources, effort, etc. So it's easier to predict immune with an automated data processing and machine learning system. Different types of data processing and machine learning algorithms are available to create best algorithm like Linear regression and KNN algorithm. Various machine learning algorithm can be used to predict immune system ,so that the immune can be predicted easily and clearly because accuracy is important in machine learning algorithm. This paper presents a study of different methods of predicting human immune.

Immunity, data processing, receptors, immunologists

"Human Immune Prediction using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.121-123, January-2021, Available :http://www.jetir.org/papers/JETIR2101220.pdf

"Human Immune Prediction using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp121-123, January-2021, Available at : http://www.jetir.org/papers/JETIR2101220.pdf