How to transform specific type feature to yield better prediction?
ML has sometimes problems to find relations obvious for people, so I would help a little bit by creating a new feature:

relX = (maxX-minX)/minX


because some diseases are more correlated with jumps of some parameters than with their level, however, such relX may be too much correlated with target and may cause overfitting.
Usually, after creating such a feature, it is better to remove one of the original features, sometimes both.