We want to analyze how the mortality rate of a given state is affected by various environmental factors viz. Air quality, water quality, sanitation, climate, etc.
“Mortality projections are an essential input for projections of the financial development of pension schemes and health and social policy planning. ” Traditionally mortality models are used for forecasting mortality for older generations (ages over 50) since these mostly affect the uncertainty in the value of financial instruments offered by pension funds due to improvements in mortality and longer life expectancy. But we are trying to model mortality rates in general based on environmental change factors such as air quality, water quality, sanitation, etc. to see how environmental deterioration leads to change in mortality rates of us, humans.
This will give us useful insights into how much of an effect can we handle and how much deterioration will lead us to
We’re using the dataset provided in the https://www.kaggle.com/rajanand/mortality. We’ll only use features related to environmental factors.
We’ll use Machine Learning to solve the problem. We’ll use a wide variety of environmental features to predict the changes in mortality rate.
It caters to CLIMATE CHANGE and all OTHERS too. It’s an all-pervasive one.