Predictive Analytics for Climate Change Detection and Disease Diagnosis

Big data have since quite a while ago anticipated vast scale reactions of irresistible infections to seasonal climate change, offering to ascend to a polarizing banter, an especially concerning human virus for which financial drivers and control measures can restrict the disclosure of atmosphere intervention changes. Seasonal climatical change illnesses are never again current, for the most part in light of change being used rural land method, isolated examples, human conduct, and vector control. Most vector-borne illnesses show a particular occasional case, which they are climate touchy. The Cumulative Sum (CUSUM) algorithms are used to detect climate change using Big Data Analytics. The proposed CUSUM algorithm provides better results in terms of climate change algorithm.