The Parametric s-functions and the Perceptron in Gastric Cancer Surgery Decision Making
| Document type: | Conference Papers |
|---|---|
| Peer reviewed: | Yes |
| Author(s): | Elisabeth Rakus-Andersson |
| Title: | The Parametric s-functions and the Perceptron in Gastric Cancer Surgery Decision Making |
| Conference name: | World Congress in Computational Intelligence (WCCI) |
| Year: | 2012 |
| Pagination: | 1852-1859 |
| ISBN: | 978-1-4673-1505-0 |
| Publisher: | IEEE |
| City: | Brisbane, Australia |
| ISI number: | 000309188200257 |
| Other identifiers: | ID:E-394 |
| Organization: | Blekinge Institute of Technology |
| Department: | School of Engineering - Dept. Mathematics and Science (Sektionen för teknik – avd. för matematik och naturvetenskap) School of Engineering S- 371 79 Karlskrona +46 455 38 50 00 http://www.tek.bth.se/ |
| Authors e-mail: | Elisabeth.Andersson@bth.se |
| Language: | English |
| Abstract: | In the current paper we mathematically try to support the medical operation decision made for the sake of patients suffering from gastric cancer. We involve the linear model of the simple neural perceptron to distinguish between two decision states determined as “operate” contra “do not operate”. The perceptron input signals are proposed to be given as codes of levels of the most decisive biological markers, considered in surgery decision making. To find the level intervals, tied to the codes, we introduce a procedure of level fuzzification by a family of parametric membership functions. |
| Subject: | Computer Science\Artificial Intelligence Mathematics\General Medical Sciences |
| Keywords: | Perceptron, Parametric s-function, Gastric cancer, Operation decision |
