I’ve generated a few more plots, but I’m still struggling to interpret what it all might mean…  Ideas welcome!  
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Created with methods similar to those described for creating the age distribution.  Look at the upper left corner of the left and middle map.  The left map shows that 67% of hospitalized patients in the validation set were Male.  The middle map shows that the model would have predicted that 66% of hospitalized patients would have been Male given the data in the validation set.
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This plot was my attempt to generalize my predictions to show “risk curves” according to age given a specific set of preconditions.  I can reproduce this to compare any set of attribute (aka precodition) combinations.  EDIT: crosses represent aggregate actual data.  The y error bar is standard error and the x is the age range considered.