Abstract
Big data helps to diagnose the medical healthcare conditions Early detection of health care conditions advantages to patient care. The best medical care is taken only when the disease is accurately known. If the medical data is inaccurate the data can’t be predicted in an efficient manner. So, to help for the best prediction of the disease we might use a machine learning algorithm that algorithms help us to diagnose the diseases. Using data sources from hospitalizations, As we have started a new model called convolution neural model it is related to multimodal disease forecasting method with the help of our understanding. In the present technology no study other than big data analytics has focused on two data types When we compare with many other illness identifying algorithms, the algorithm we have had started has correctness of 94.8% along with that convergence speed and it is more powerful than CNN-unimodal sickness identifying algorithm.