@article{ART002685881},
author={Kim, Kwang-baek},
title={Diagnosis of Pet by Using FCM Clustering},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2021},
volume={26},
number={2},
pages={39-44},
doi={10.9708/jksci.2021.26.02.039}
TY - JOUR
AU - Kim, Kwang-baek
TI - Diagnosis of Pet by Using FCM Clustering
JO - Journal of The Korea Society of Computer and Information
PY - 2021
VL - 26
IS - 2
PB - The Korean Society Of Computer And Information
SP - 39
EP - 44
SN - 1598-849X
AB - In this paper, we propose a method of disease diagnosis system that can diagnose the health status of household pets for the people who lack veterinary knowledge. The proposed diagnosis system holds 50 different kinds of diseases with the symptoms for each of them as a database to provide results from symptom input. Each disease database has its own symptom codes for a disease, and by using the disease database, FCM clustering technique is applied to disease which outputs membership degree to determine diseases close to the input symptom as a pet diagnosis result.
The implementation results of the proposed pet diagnosis system were obtained by the number of selected symptoms and the possibility values of the diseases that have the selected symptoms being sorted in descending order to derive top 3 diseases closest to the pet’s symptom.
KW - Diseases;Symptom;FCM Clustering;Membership Degree;Pet Diagnosis
DO - 10.9708/jksci.2021.26.02.039
ER -
Kim, Kwang-baek. (2021). Diagnosis of Pet by Using FCM Clustering. Journal of The Korea Society of Computer and Information, 26(2), 39-44.
Kim, Kwang-baek. 2021, "Diagnosis of Pet by Using FCM Clustering", Journal of The Korea Society of Computer and Information, vol.26, no.2 pp.39-44. Available from: doi:10.9708/jksci.2021.26.02.039
Kim, Kwang-baek "Diagnosis of Pet by Using FCM Clustering" Journal of The Korea Society of Computer and Information 26.2 pp.39-44 (2021) : 39.
Kim, Kwang-baek. Diagnosis of Pet by Using FCM Clustering. 2021; 26(2), 39-44. Available from: doi:10.9708/jksci.2021.26.02.039
Kim, Kwang-baek. "Diagnosis of Pet by Using FCM Clustering" Journal of The Korea Society of Computer and Information 26, no.2 (2021) : 39-44.doi: 10.9708/jksci.2021.26.02.039
Kim, Kwang-baek. Diagnosis of Pet by Using FCM Clustering. Journal of The Korea Society of Computer and Information, 26(2), 39-44. doi: 10.9708/jksci.2021.26.02.039
Kim, Kwang-baek. Diagnosis of Pet by Using FCM Clustering. Journal of The Korea Society of Computer and Information. 2021; 26(2) 39-44. doi: 10.9708/jksci.2021.26.02.039
Kim, Kwang-baek. Diagnosis of Pet by Using FCM Clustering. 2021; 26(2), 39-44. Available from: doi:10.9708/jksci.2021.26.02.039
Kim, Kwang-baek. "Diagnosis of Pet by Using FCM Clustering" Journal of The Korea Society of Computer and Information 26, no.2 (2021) : 39-44.doi: 10.9708/jksci.2021.26.02.039
