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Thyroid disease diagnosis: A survey
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-45497-7_1openalex-snapshot
Medical Analysis and Diagnosis by Neural Networks
inferredcites →https://doi.org/10.1007/978-3-540-85567-5_68openalex-snapshot
Application of the Fuzzy Min-Max Neural Networks to Medical Diagnosis
inferredcites →https://doi.org/10.1007/978-3-642-35521-9_13openalex-snapshot
Expert System Based on Neural-Fuzzy Rules for Thyroid Diseases Diagnosis
inferredcites →https://doi.org/10.1007/s00146-013-0456-0openalex-snapshot
Comparative analysis of machine learning techniques in prognosis of type II diabetes
inferredcites →https://doi.org/10.1007/s10489-011-0332-xopenalex-snapshot
Optimizing the modified fuzzy ant-miner for efficient medical diagnosis
inferredcites →https://doi.org/10.1007/s10916-010-9588-7openalex-snapshot
ΤND: A Thyroid Nodule Detection System for Analysis of Ultrasound Images and Videos
inferredcites →https://doi.org/10.1007/s10916-011-9655-8openalex-snapshot
A Three-Stage Expert System Based on Support Vector Machines for Thyroid Disease Diagnosis
inferredcites →https://doi.org/10.1007/s10916-011-9748-4openalex-snapshot
Diagnosis of Diabetes Diseases Using an Artificial Immune Recognition System2 (AIRS2) with Fuzzy K-nearest Neighbor
inferredcites →https://doi.org/10.1007/s10916-011-9815-xopenalex-snapshot
Design of an Enhanced Fuzzy k-nearest Neighbor Classifier Based Computer Aided Diagnostic System for Thyroid Disease
inferredcites →https://doi.org/10.1007/s10916-012-9825-3openalex-snapshot
A Computer Aided Diagnosis System for Thyroid Disease Using Extreme Learning Machine
inferredcites →https://doi.org/10.1016/j.jksuci.2011.09.002openalex-snapshot
Clinical decision support system: Risk level prediction of heart disease using weighted fuzzy rules
inferredcites →https://doi.org/10.1109/asonam.2012.142openalex-snapshot
A Classifier to Detect Tumor Disease in MRI Brain Images
inferredcites →https://doi.org/10.1109/bmei.2012.6513201openalex-snapshot
Diagnosis of Parkinson's disease using genetic algorithm and support vector machine with acoustic characteristics
inferredcites →https://doi.org/10.1109/cimsim.2010.93openalex-snapshot
Suitable MLP Network Activation Functions for Breast Cancer and Thyroid Disease Detection
inferredcites →https://doi.org/10.1109/cisim.2010.5643520openalex-snapshot
Comparison of anfis Neural Network with several other ANNs and Support Vector Machine for diagnosing hepatitis and thyroid diseases
inferredcites →https://doi.org/10.1109/comcomap.2012.6154864openalex-snapshot
Design and development of a clinical decision support system for diagnosing appendicitis
inferredcites →https://doi.org/10.1109/csnt.2013.122openalex-snapshot
Breast Cancer Detection Using Neural Network Models
inferredcites →https://doi.org/10.1109/eleco.2009.5355297openalex-snapshot
Thyroid and breast cancer disease diagnosis using fuzzy-neural networks
inferredcites →https://doi.org/10.1109/embc.2012.6345965openalex-snapshot
Automated benign & malignant thyroid lesion characterization and classification in 3D contrast-enhanced ultrasound
inferredcites →https://doi.org/10.1109/fskd.2010.5569740openalex-snapshot
An adaptive k-nearest neighbor algorithm
inferredcites →https://doi.org/10.1109/iacsit-sc.2009.24openalex-snapshot
Comparison of Several ANN Architectures on the Thyroid Diseases Grades Diagnosis
inferredcites →https://doi.org/10.1109/iadcc.2009.4809154openalex-snapshot
Diagnosis of Thyroid Disorders using Artificial Neural Networks
inferredcites →https://doi.org/10.1109/icbbe.2009.5163689openalex-snapshot
Thyroid Disease Diagnosis Based on Genetic Algorithms Using PNN and SVM
inferredcites →https://doi.org/10.1109/iccicct.2014.6993162openalex-snapshot
Hybrid genetic algorithm — Artificial neural network classifier for skin cancer detection
inferredcites →https://doi.org/10.1109/iccpct.2013.6528879openalex-snapshot
Computer Aided Detection of Skin Cancer
inferredcites →https://doi.org/10.1109/iccsnt.2012.6525884openalex-snapshot
A novel algorithm for disease diagnosis
inferredcites →https://doi.org/10.1109/icices.2013.6508214openalex-snapshot
Automatic retrival of MRI brain image using multiqueries system
inferredcites →https://doi.org/10.1109/icices.2013.6508215openalex-snapshot
Automatic medical disease treatment system using datamining
inferredcites →https://doi.org/10.1109/iembs.2009.5333764openalex-snapshot
Multispectral microscopy and cell segmentation for analysis of thyroid fine needle aspiration cytology smears
inferredcites →https://doi.org/10.1109/inista.2012.6246999openalex-snapshot
A diagnostic software tool for skin diseases with basic and weighted K-NN
inferredcites →https://doi.org/10.1109/titb.2012.2215044openalex-snapshot
Knowledge Discovery in Medical Systems Using Differential Diagnosis, LAMSTAR, and $k$ -NN
inferredcites →https://doi.org/10.1109/tsmca.2010.2043948openalex-snapshot
A Modified Fuzzy Min–Max Neural Network With a Genetic-Algorithm-Based Rule Extractor for Pattern Classification
inferredcites →https://doi.org/10.1177/0272989x9601600409openalex-snapshot
Neural Networks in Clinical Medicine
inferredcites →https://doi.org/10.14569/ijacsa.2011.021110openalex-snapshot
Survey of Nearest Neighbor Condensing Techniques
inferredcites →https://doi.org/10.2478/s13537-011-0032-yopenalex-snapshot
Clinical decision support system: risk level prediction of heart disease using weighted fuzzy rules and decision tree rules
inferredcites →https://doi.org/10.5120/10012-4949openalex-snapshot
Thyroid Volume Estimation Analysis with Neural and Fuzzy-Neuro Techniques - A Comparative Study
inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot
Data mining: concepts and techniques
inferredcites →https://doi.org/10.7763/ijiet.2012.v2.114openalex-snapshot
Applying k-Nearest Neighbour in Diagnosing Heart Disease Patients
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.3382654openalex-extracted
An Intelligent System for Diagnosing Thyroid Disease in Pregnant Ladies through Artificial Neural Network
inferred← citeshttps://doi.org/10.1007/978-3-031-70789-6_11openalex-snapshot
ITD-ML: Improving Diagnosis Capabilities for Thyroid Disease Using Machine Learning
inferred← citeshttps://doi.org/10.1007/978-981-15-9647-6_17openalex-snapshot
Investigating the Impact of Data Analysis and Classification on Parametric and Nonparametric Machine Learning Techniques: A Proof of Concept
inferred← citeshttps://doi.org/10.1007/978-981-33-6546-9_32openalex-snapshot
Investigating the Role of Machine Learning in Detecting Psychological Tension
inferred← citeshttps://doi.org/10.1007/s11277-022-09823-7openalex-snapshot
Expanded and Filtered Features Based ELM Model for Thyroid Disease Classification
inferred← citeshttps://doi.org/10.1007/s12145-021-00664-9openalex-snapshot
A review of models for water level forecasting based on machine learning
inferred← citeshttps://doi.org/10.1007/s13369-020-05206-xopenalex-snapshot
Performance Analysis of Machine Learning Algorithms for Thyroid Disease
inferred← citeshttps://doi.org/10.1109/icaeee62219.2024.10561815openalex-snapshot
Ensemble Learning for Improved Thyroid Disease Prediction: A Voting Classifier Approach
inferred← citeshttps://doi.org/10.1109/icitiit64777.2025.11041508openalex-snapshot
Hierarchical Ensemble Model for Thyroid Cancer Detection using Multimodal Data
inferred← citeshttps://doi.org/10.1109/iconat66879.2025.11362658openalex-snapshot
Enhancing Thyroid Disease Diagnosis Through Deep Learning and Artificial Neural Network
inferred← citeshttps://doi.org/10.1109/icscds65426.2025.11167756openalex-snapshot
AI-Driven Intelligent Detection and Classification of Thyroid Conditions
inferred← citeshttps://doi.org/10.17148/ijarcce.2022.11341openalex-snapshot
Expert System Based on Multi-Stage Approach Combining Feature Selection with Machine Learning Techniques for Diagnosis of Thyroid Disease
inferred← citeshttps://doi.org/10.3390/electronics10233026openalex-snapshot
Effective Voting Ensemble of Homogenous Ensembling with Multiple Attribute-Selection Approaches for Improved Identification of Thyroid Disorder
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