I'm developing a data mining application for healthcare sector. I need a data set that would give information on age, blood pressure, specific gravity(of blood and plasma), sugar, amount of red blood cells, sodium level and some attributes like that sort of healthy people.
I think this data set won't exist, because, while "unhealthy" can be often objectively defined, "healthy" is subjective. For example, a data set consisting of diagnostic data from a "healthy" person may in fact be measured on an not-yet-diagnosed "unhealthy" person, or a person that lists themselves as "healthy" but in fact has relatively high blood pressure for their age, ethnicity, demographic, etc. (With enough data, these points should show up as outliers.)
So, like I posted in my comment, I'd suggest finding an open data set of "unhealthy" people and then using the control groups, which are selected because they are not exhibiting symptoms. This is called "treatment and control groups."
Another thing: Similar to this question -
finding medical data for non-sick people isn't as easy as it sounds.