학술논문

Fuzzy Diagnostic Logic for Detecting a Surgical Site Infection in Its Early Stages / 術後感染症の早期発見のためのファジィ診断ロジック
Document Type
Journal Article
Source
International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association. 1996, 2(1):69
Subject
Fuzzy logic
Surgical site infection
Time series data
White blood cells
ファジィロジック
時系列データ
白血球数
術後感染症
Language
Japanese
ISSN
2185-2421
2424-256X
Abstract
It is important to prevent the surgical site infection after operation. Surgeons diagnose it be using many kinds of patient's information such as fever, counts of white blood cells, the complains of pain and use the antibiotics to treat it. But it is difficult to evaluate the effect of the medicine, because these patient's information has the fuzziness and the diagnostic logic of the surgeon is subjective. The purpose of this paper is to propose a fuzzy logic for detecting the surgical site infection, employing the fuzzy inference based on the data of differential counts of white blood cells. By the application of this logic to the clinical cases, we had the same results as the ones by the discriminate analysis with many variables.