Grouping Patients after Surgery by Minimum Sum of Squares Clustering Method

Milorad Paunoviæ

Clinical Center of Serbia, Serbia

^*Correspondance to: Milorad Paunoviæ 

 PDF  Full Text Research Article | Open Access

Abstract:

In this paper for the first time the clustering method is applied in surgery post-operational complications. We first collect data after surgery of 825 patients in hospital in Serbia, taking into account 3 their attributes. Among 825 patients, 32 of them had the occurrence of dehiscence laparotomy. We analyze the risk of taking surgery based on clustering patient in groups, taking into account the presence of infection, diabetic and neoplastic disease. The minimum sum-of-squares model is used and tested by k-means heuristic and Variable neighborhood search based method. It appears that the method used is very important, i.e., VNS based heuristic provides significantly better results. Some interesting conclusions are also derived.

Keywords:

Clustering method, Surgery, Laparotomy, Grouping Patients

Cite the Article:

Paunoviæ M. Grouping Patients after Surgery by Minimum Sum of Squares Clustering Method. World J Surg Surgical Res. 2018; 1: 1061.