Thyroid disease diagnosis via hybrid architecture composing rough data sets theory and machine learning algorithms

Author:

Prasad V.,Rao T. Srinivasa,Babu M. Surendra Prasad

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference18 articles.

1. Akbas A, Turhal U, Babur S, Avci C (2013) Performance improvement with combining multiple approaches to diagnosis of thyroid cancer. Sci Res. doi: 10.4236/eng.2013.510B055

2. Azar AT, Hassanien AE, Kim T (2012) Expert system based on neural-fuzzy rules for thyroid diseases diagnosis. Springer, Berlin

3. Crochemore, Czumaj et al (1994) Speeding up two string-matching algorithms. Algorithmica 12(4–5):247–267

4. El-Sayed El-Metwally S, Radwan E, Hamza T (2010) Multiple DNA sequence alignment using a hybrid model of GA and rough sets. Egypt Comput Sci J 34(3):46–60

5. Gharehchopogh FS, Molany M, Mokri FD (2013) Using artificial neural network in diagnosis of thyroid disease: a case study. Int J Comput Sci Appl 3(4):49–61

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