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Early Stage Detection Of Thyroid Using Machine Learning
Corresponding Author(s) : Raksha Prasad
WORLDWIDE JOURNAL OF RESEARCH,
Vol. 1 No. 4 (2020): Volume 1 Number 4
Thyroid disease during the extraordinarily-modern times have become a complex hassle & the detection & splendor of this problem has determined a modern-day way for easy explanation; médical facts mining via device gaining knowledge of & AI baséd techniques. The structural modifications of a thyroid contamination is difficult to end up conscious of truly via searching thyroid useful modifications due to its non-palpable modules. For example, at the same time as taking a check the structural degree, Euthyroid can be considered as a easy thyroid hormonal sensible scenario. However, this case might be entangled in beginning structural changes like goiter, bloodless nodule, Multiple nodule goiter, most cancers, grave's disorder, and hundreds of others. Not truely recommending at what state the structural degrees are however an brilliant device is considered so even as it identifies all of the types of thyroid illnesses as nicely. Failing which, it could end up grave illnesses which includes most cancers. This paper proposes to extenuate such events in a mannerly fashion. The proposed device brings in advance a completely specific technique for evaluating scientific datasets thru building classifiers primarily based absolutely mostly on assist vector device algorithms for the motive that they will be divergent in nature & can not be processed with everyday techniques. In segment , the classifiers are upskilled to diversify the realistic & structural levels of thyroid sickness at granular stage thru using the use of multi & binary SVM (assist vector tool) algorithms. In the belief phase, the overall performance & evaluation is made to head again close by the use of the confusion matrix, precision & take into account measures.
 Interactive Thyroid Disease Prediction System Using Machine Learning Technique Ankita Tyagi ,Ritika Mehra Aditya Saxena ,20-22 Dec, 2018, Solan, India.
 Thyroid Diagnosis from SPECT Images Using Convolutional Neural Network with Optimization Liyong Ma Chengkuan Ma, Yuejun Liu and Xuguang Wang, 12 August 2018.
 Thyroid Disease Diagnosis using Image Processing:A Survey Ms.Wrushali Mendre, Dr.R.D.Raut , 12, December 2012
 Prediction of Thyroid Disease Using Machine Learning Techniques SunilaGodara, Sanjeev Kumar, June 2018.
 Thyroid Prediction System using Auto Associative Neural Network Komal Agrawal , Mradul Dhakar , April 2017.
 PIXEL MEASUREMENT OF THYROID GLAND BY USING ULTRASOUND IMAGE Jeetendra Gochare, Pallavi Choudhary, July, 2016.
 Computer-Aided Thyroid Nodule Detection in Ultrasound Images D.E. Maroulisa , M.A. Savelonasa , S.A. Karkanisb , D.K. Iakovidisa , N. Dimitropoulosc, 04 June 2014.
 Detection of Thyroid in ultrasound images using artificial neural networks ,PRITI S.DHAYGUDE, S.M.HANDORE, Feb.-2016.
 Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images,David Dov, Shahar Z. Kovalsky, Jonathan Cohen, Danielle Elliott Range ,2019
 Ultra Sonogram Images for Thyroid Segmentation and Volume Estimation in Diagnosis of Thyroid Nodules, Gouri S. Yende, Krushil M. Punwatkar Published 2016
 Diagnosis of thyroid disease using artificial neural network methods, Lale OZYILMAZ Tula Yildirim,2002
 Fuzzy rule-based expert system for diagnosis of thyroid disease, S. Amrollahi Biyouki , M.H. Fazel Zarandi,2015
 Thyroid disease analysis and accuracy prediction using data mining techniques, K. Rajam , R. Jemina Priyadarsini ,2016
 Predicting Thyroid Disease using Linear Discriminant Analysis (LDA) Data Mining Technique , Prerana, Parveen Sehgal, Khushboo Taneja,2016
 Thyroid disease diagnosis: A survey, Shanu Shroff Siddhi Pise Pratiksha Chalekar Suja S. Panicker, January 2015
 A novel algorithm for disease diagnosis , Fei He, Hua-min , Li-guo Fan ,2012
 Thyroid Disease Diagnosis Based on Genetic Algorithms Using PNN and SVM, Fatemeh Saiti , Afsaneh Alavi Naini2 Tehran, Iran Fatemeh., Aliyari shoorehdeli , Mohammad Teshnehlab,2009