It is. Health sector uses mostly statistic. We use randomized experiment and with survival analysis and longitudinal analysis. Then we're also on observation s

It is. Health sector uses mostly statistic. We use randomized experiment and with survival analysis and longitudinal analysis. Then we're also on observation studies with casuality since the 1980s between statistician and econometrician. We're using propensity modeling now for observational studies and quasi experiment. It's where a new wave of interesting stuff is happening all the while AI is taking up this weird hype in the programming world for healthcare. Data science and ML really likes to make things black boxes while ignoring the data and not accounting for uncertainty. I'm going to flat out state, you're not doing this in healthcare. There is no way in hell this is going to work without statistic. Judea Pearl is gonna have to marry statistic with CS if he wants any real headway with causality and even then I'd take Rubin, Rosenbaum, and Angrist.