Thyroid prediction using ensemble data mining techniques
| Autor: | Saurabh Pal, Dhyan Chandra Yadav |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Boosting (machine learning)
Computer Networks and Communications Computer science 02 engineering and technology computer.software_genre Artificial Intelligence 0202 electrical engineering electronic engineering information engineering medicine Daily living Electrical and Electronic Engineering Cluster analysis Ensemble forecasting Applied Mathematics Thyroid 020206 networking & telecommunications Expert system Computer Science Applications Statistical classification ComputingMethodologies_PATTERNRECOGNITION medicine.anatomical_structure Computational Theory and Mathematics 020201 artificial intelligence & image processing Data mining Classifier (UML) computer Information Systems |
| Zdroj: | International Journal of Information Technology. 14:1273-1283 |
| ISSN: | 2511-2112 2511-2104 |
| Popis: | Data mining algorithms provide easy way to solve problem in medical data analysis. Data mining supports in complex data analysis to identify each issue in dataset. Now-a-days every person suffers for a good heath. The life style of every person is very fast so it is very difficult to maintain his health. Every person cannot easily maintain the hormone system in the body. Nowadays hormone disturbance are major issue in ladies. The major issues behind thyroids are hormonal disturbance. Initially we do not care the symptom of thyroids. If we have some knowledge about thyroid symptom then prior of major problem we protect his life. The symptoms of thyroid are very similar so we easily can not eliminate for identification. Data mining provide major help in thyroid dataset with different algorithms for classification, clustering, association etc. We use different types of machine learning meta classifier algorithms for thyroid dataset classification. In this analysis we analyze thyroid large and complex dataset by data mining meta classifier algorithm: Boosting, Bagging, Stacking and Voting with new ensemble model and con comparing classification accuracy, sensitivity and specificity. We easily classify thyroid dataset in different class level. Thyroid is a very common disease found in the human body, which is related to human diet and daily living with the help of classification algorithms, they can be avoided by studying various types of functions in thyroid, with the help of classification, after the disease consisting of experienced doctor walking expert system can be developed. |
| Databáze: | OpenAIRE |
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