set of algorithms performed to carry out the analysis of the "thyroid-disease" database published in the UCI page
URL data source
data: https://archive.ics.uci.edu/ml/machine-learning-databases/thyroid-disease/sick-euthyroid.data
names: https://archive.ics.uci.edu/ml/machine-learning-databases/thyroid-disease/sick-euthyroid.names
- Naıve Bayes
- KNN
- ANN
- Random Forest
- SVM
- FSF
- PCA
- LCA
Ionita, Irina. (2016). Prediction of Thyroid Disease Using Data Mining Techniques. BRAIN. Broad Research in Artificial Intelligence and Neuroscience. Vol.7. pp.115-124.
URL: https://www.researchgate.net/publication/321145710_Prediction_of_Thyroid_Disease_Using_Data_Mining_Techniques
Ammulu K., Venugopal. (2017). Thyroid Data Prediction using Data
Classification Algorithm. IJIRST –International Journal for Innovative Research in Science & Technology. Vol.4. Issue 2. July 2017. ISSN (online): 2349-6010
URL: http://www.ijirst.org/articles/IJIRSTV4I2054.pdf
Geetha K., Santosh S. Eficient Thyroid Disease Classification Using Differential Evolution with SVM. Journal of Theoretical and Applied Information Technology. Vol.88. No.3. E-ISSN: 1817-3195
URL: http://www.jatit.org/volumes/Vol88No3/4Vol88No3.pdf
Banu, Gulmohamed. (2016). Predicting Thyroid Disease using Linear Discriminant Analysis (LDA) Data Mining Technique. Communications on Applied Electronics. 4. 4-6. 10.5120/cae2016651990. URL: https://www.caeaccess.org/research/volume4/number1/banu-2016-cae-651990.pdf
Lou H, Wang L, Duan D, Yang C,Mammadov M (2018) RDE: A novel approach to improve the classification performance and expressivity of KDB. PLoS ONE 13(7): e0199822. URL: https://doi.org/10.1371/journal.pone.0199822
class 1: sick-euthyroid
class 2: negative
| atribute | value | value | faltantes |
|---|---|---|---|
| age | continuous | ? | |
| sex | M | F | ? |
| on_thyroxine | f | t | |
| query_on_thyroxine | f | t | |
| on_antithyroid_medication | f | t | |
| thyroid_surgery | f | t | |
| query_hypothyroid | f | t | |
| query_hyperthyroid | f | t | |
| pregnant | f | t | |
| sick | f | t | |
| tumor | f | t | |
| lithium | f | t | |
| goitre | f | t | |
| TSH_measured | n | y | |
| TSH | continuous | ? | |
| T3_measured | n | y | |
| T3 | continuous | ? | |
| TT4_measured | n | y | |
| TT4 | continuous | ? | |
| T4U_measured | n | y | |
| T4U | continuous | ? | |
| FTI_measured | n | y | |
| FTI | continuous | ? | |
| TBG_measured | n | y | |
| TBG | continuous | ? |