Performance Improvement with Combining Multiple Approaches to Diagnosis of Thyroid Cancer

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Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.org/journal/eng
E-mail: eng@scirp.org

Google-based Impact Factor: 1.09
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"Performance Improvement with Combining Multiple Approaches to Diagnosis of Thyroid Cancer"
written by Ahmet Akbaş, Uğur Turhal, Sebahattin Babur, Cafer Avci,
published by Engineering, Vol.5 No.10B, 2013

has been cited by the following article(s):

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CrossRef

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[2]	Deep Multilayer Neural Network with Weights Optimization-Based Genetic Algorithm for Predicting Hypothyroid Disease
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[3]	Enhancing Precision Medicine with Machine Learning in Thyroid Diagnosis
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[4]	Lumbar Spine Disease Prediction with KNN, Random Forest and Decision Tree: A Study
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[5]	Increasing the Prediction Accuracy for Thyroid Disease: A Step Towards Better Health for Society
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[6]	Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study
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[7]	Early diagnosis of thyroid cancer diseases using computational intelligence techniques: A case study of a Saudi Arabian dataset
	2021

[8]	Prediction of thyroid disease using decision tree ensemble method
	2020

[9]	Thyroid prediction using ensemble data mining techniques
	2019

[10]	From Ensemble Learning to Meta-Analytics: A Review on Trends in Business Applications
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[11]	An Ensemble Filter Feature Selection Method and Outlier Detection Method for Multiclass Classification
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[12]	Comparison of Decision Tree, Neural Network, Statistic Learning, and k-NN Algorithms in Data Mining of Thyroid Disease Datasets.
	2018

[13]	Prediction of Hypothyroidism Disease by Data Mining Technique
	Journal of Data Science, 2016

[14]	Thyroid disease diagnosis via hybrid architecture composing rough data sets theory and machine learning algorithms
	Soft Computing, 2015

[15]	PERFORMANCE ANALYSIS OF FEATURE RANKING ALGORITHMS ON MICROARRAY DATASETS
	?International Symposium on Sustainable Development. International Burch University, 2014., 2014

[1]	Big Data Analytics in Intelligent IoT and Cyber-Physical Systems Transactions on Computer Systems and Networks, 2024 DOI:10.1007/978-981-99-4518-4_11

[2]	Intelligent Computing for Sustainable Development Communications in Computer and Information Science, 2024 DOI:10.1007/978-3-031-61287-9_18

[3]	Deep Multilayer Neural Network with Weights Optimization-Based Genetic Algorithm for Predicting Hypothyroid Disease Arabian Journal for Science and Engineering, 2024 DOI:10.1007/s13369-023-08511-3

[4]	Deep Multilayer Neural Network with Weights Optimization-Based Genetic Algorithm for Predicting Hypothyroid Disease Arabian Journal for Science and Engineering, 2023 DOI:10.1007/s13369-023-08511-3

[5]	Diversity improvement in homogeneous ensemble feature selection: a case study of its impact on classification performance Neural Computing and Applications, 2023 DOI:10.1007/s00521-023-08547-4

[6]	Increasing the Prediction Accuracy for Thyroid Disease: A Step Towards Better Health for Society Wireless Personal Communications, 2022 DOI:10.1007/s11277-021-08974-3

[7]	Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study PeerJ Computer Science, 2022 DOI:10.7717/peerj-cs.898

[8]	Early diagnosis of thyroid cancer diseases using computational intelligence techniques: A case study of a Saudi Arabian dataset Computers in Biology and Medicine, 2021 DOI:10.1016/j.compbiomed.2021.104267

[9]	Early diagnosis of thyroid cancer diseases using computational intelligence techniques: A case study of a Saudi Arabian dataset Computers in Biology and Medicine, 2021 DOI:10.1016/j.compbiomed.2021.104267

[10]	Prediction of thyroid disease using decision tree ensemble method Human-Intelligent Systems Integration, 2020 DOI:10.1007/s42454-020-00006-y

[11]	An Ensemble Filter Feature Selection Method and Outlier Detection Method for Multiclass Classification Proceedings of the 2019 8th International Conference on Software and Computer Applications, 2019 DOI:10.1145/3316615.3318223

[12]	Business and Consumer Analytics: New Ideas 2019 DOI:10.1007/978-3-030-06222-4_18

[13]	An Ensemble Filter Feature Selection Method and Outlier Detection Method for Multiclass Classification Proceedings of the 2019 8th International Conference on Software and Computer Applications, 2019 DOI:10.1145/3316615.3318223

[14]	Thyroid disease diagnosis via hybrid architecture composing rough data sets theory and machine learning algorithms Soft Computing, 2016 DOI:10.1007/s00500-014-1581-5

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