Home // eTELEMED 2014, The Sixth International Conference on eHealth, Telemedicine, and Social Medicine // View article
Authors:
Elisabeth Rakus-Andersson
Hang Zettervall
Keywords: c-means clustering; surgery degrees; clinical characteristic value; weights of importance; truncated π-functions.
Abstract:
We discuss two computational techniques in the current paper. In the first part, we aim at employing FCM (fuzzy c-means) clustering to compute membership degrees of two clusters providing decisions to perform surgery or not for a testing set of 25 gastric cancer patients. The second part handles mathematical modelling of a common function approximating the information obtained from the c-means procedure. After constructing the equation of the function, we can make the decision about the surgery in the form of the surgery degree for an arbitrary gastric cancer patient. A centre, dealing with mathematical techniques concerning surgery prognoses, can quickly decide about surgery for the patient who lives in a remote place. A transmission of information among the centre and some hospitals, interested in adopting the centre services, can facilitate surgery decision-making. This trial can be treated as a contribution in the telemedicine domain.
Pages: 158 to 163
Copyright: Copyright (c) IARIA, 2014
Publication date: March 23, 2014
Published in: conference
ISSN: 2308-4359
ISBN: 978-1-61208-327-8
Location: Barcelona, Spain
Dates: from March 23, 2014 to March 27, 2014