Computer-Assisted Diagnosis of Vertebral Column Diseases by Adaptive Neuro-Fuzzy Inference System

被引：0

作者：

Uzun, Rukiye ^{[1
]}

Isler, Yalcin ^{[2
,3
]}

Erkaymaz, Okan ^{[1
]}

Kocadayi, Yasemin ^{[1
]}

机构：

[1] Bulent Ecevit Univ, Elekt Elekt Muhendisligi Bolumu, Zonguldak, Turkey

[2] Izmir Katip Celebi Univ, Biyomed Muhendisligi Bolumu, Izmir, Turkey

[3] Ege Univ, Islerya Med & Bilisim Teknol, Ebiltem Binasi, Izmir, Turkey

来源：

2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2018年

关键词：

ANFIS; diagnosis; machine learning; clustering; vertebral column;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this study, a clustering algorithm based on adaptive neural fuzzy inference system (ANFIS) was used for computer-assisted diagnosis of the vertebral column disorder from machine learning databases of UCI (University of California Irvine). Features of pelvic incidence, pelvic tilt and lumbar lordosis angle given in this dataset was applied to the inputs of the algorithm. The performance of algorithm was evaluated using mean square error and regression coefficient criteria to discriminate patients with vertebral column disease from healthy subjects. As a result, the classification performance of 90.82% was obtained by using the generated model of ANFIS.

引用

页数：4

共 21 条

[1] Akben S. B., 2016, BIOMED RES-INDIA, P337
[2] Alkan O., 2014, OMURGA OMURILIK YARA
[3] Altun N., 2016, DEJENERATIF OMURGA H, V5
[4] Ananthi S., 2017, INT J BIOENGINEERING, V6, P1
[5] [Anonymous], 2017, INT J RES SCI ENG
[6] [Anonymous], 1997, IEEE T AUTOM CONTROL, DOI DOI 10.1109/TAC.1997.633847
[7] Ansari S., 2013, INT C INF SCI APPL I, P1, DOI DOI 10.1109/ICISA.2013.6579446
[8] Chetan A., 2017, J MED BIOL ENG, P1
[9] Fuzzy Classifier for the Diagnosis of Pathology on the Vertebral Column
Contreras, J.
Bonfante, M. C.
Quintana, A.
Castro, V.
[J]. IEEE LATIN AMERICA TRANSACTIONS, 2014, 12 (06) : 1149 - 1154
[10] Neto ARD, 2011, LECT NOTES COMPUT SC, V6669, P588

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