Efficient Thyroid Disease Prediction using Features Selection and Meta-Classifiers-Reference-Cited by-同舟云学术

Efficient Thyroid Disease Prediction using Features Selection and Meta-Classifiers

Published:2022-03-29 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Computing Methodologies and Communication (ICCMC)
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Author:

Priyadharsini D.¹,Sasikala S.²

Affiliation:

1. Hindusthan College of Arts & Science,Department of Computer Applications,Coimbatore

2. Hindusthan College of Arts & Science,Department of Computer Science with Cognitive Systems,Coimbatore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9752772/9753686/09753986.pdf?arnumber=9753986

Reference16 articles.

1. Anticipating the chronic Kidney Disorder using performance Optimization in Adaboost and Multilayer Perceptron;sasikala;Imperial Journal of Interdisciplinary Research,2020

2. Diagnosis Using Data Mining Algorithms for Malignant Breast Cancer Cell Detection

3. Accelerating Unique Strategy for Centroid Priming in K-means Clustering;saranya;International Journal of Innovative Research in Science,0

4. Thyroid DiseasePrediction Using Hybrid Machine Learning Techniques: An Effective Framework;yasir iqbal mir;International Journal of Scientific & Technology Research,2020

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