Enhanced Prediction of Thyroid Disease Using Machine Learning Method
Author:
Affiliation:
1. Govt. college of Engg.,Dept. of Electrical Engg.,Keonjhar,Odisha,India,758002
2. Cvraman Global Univesity,Dept. of Electronics and Telecommunication,Bhubaneswar,Odisha,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811418/9811430/09811472.pdf?arnumber=9811472
Reference30 articles.
1. Prediction of thyroid disease using decision tree ensemble method
2. A healthcare monitoring system using random forest and internet of things (IoT)
3. An automatic diagnosis system based on thyroid gland: ADSTG
4. Novel swarm optimization for mining classification rules on thyroid gland data
5. Fuzzy and hard clustering analysis for thyroid disease
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1. Deciphering Thyroid Health: Advanced Classification for Predictive Insights;2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE);2024-05-16
2. Predictive Modeling for Thyroid Disease Diagnosis using Machine Learning;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24
3. Neural harmony: revolutionizing thyroid nodule diagnosis with hybrid networks and genetic algorithms;Computer Methods in Biomechanics and Biomedical Engineering;2024-04-22
4. Smart Thyroid Diagnosis: A Machine Learning Based Interactive System;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22
5. Classification of Thyroid Using Data Mining Models: A Comparison with Machine Learning Algorithm;SN Computer Science;2024-02-28
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