Include time as a variable in regression model
Theres an approach I'd take which consists of two steps. The second is optional buy highly recommended.


create variables for day, month, year separately.
process those numbers as cyclic features (day 31 is as close to day 1 as to day 30, for example. If you don't do anything about that, and store days from 1 to 31, there's no place considering the cyclic nature of the feature). This post exaplins this in detail.


Hope this helps.

EDIT1:
Also, not asked, but depending on the algorithm you're using, you may want to normalize the numerical features you have.