Data from 227 patients were collected using web
questionnaires. Each patient answered to two questionnaires.
One associated with his/her health condition after the
surgery, and the other related to his/her condition in a postsurgery
scenario.
The several undertaken analyses, in terms of OLAP,
allowed the verification of the beginning of the disorder, the
incidence of hyperhidrosis before and after the surgery, the
changes in the emotional state of the individuals, the
occurrence of compensatory hyperhidrosis as consequence of
the surgery and the improvement of the overall quality of life
associated to this dataset.
In terms of DM models, three models were identified:
related with the emotional sate, with the side effects, and
with the compensatory hyperhidrosis grade. Two of these models present high accuracies, helping to support the
decision making process. The other one presents a lower
accuracy but integrates findings that need further
investigation due to their relevance in the association of the
gender with the incidence of compensatory hyperhidrosis.
Related to future work, the collection of more data is
envisaged. Namely, data associated with patients of other
hospitals and health institutions, and also new patients of the
analyzed health institutions. In terms of data exploration, a
deeper study of the incidence of compensatory hyperhidrosis
is needed in order to decrease the incidence of this surgery
side effect.