An ensemble classifier approach for thyroid disease diagnosis using the AdaBoostM algorithm

Author(s):  
Giuseppe Ciaburro
PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0182070 ◽  
Author(s):  
LiMin Wang ◽  
FangYuan Cao ◽  
ShuangCheng Wang ◽  
MingHui Sun ◽  
LiYan Dong

The object of this paper is design a triangular AIFM for thyroid disease diagnosis, by making use of the notion of triangular AIFMs . Further, we extended our approach in the sector of addition and multiplication factors of triangular AIFMsbased on membership and non-membership function. In this work Elevated fever, headache, fatigue, eye pain, swollen are taken as important parameters of thyroid disease diagnosis. Finally, we presented a decision making problem based on one of the operation of triangular AIFMs .


2019 ◽  
pp. 475-480
Author(s):  
Arnela Tarakčija ◽  
Vedad Terzić ◽  
Almir Vardo ◽  
Sabrina Smajlović ◽  
Sabilja Zećiri ◽  
...  

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