Table 1.
The main expert systems that were developed for diagnosis purposes in different diseases
Ref. no | Year | Developed/ Proposed/ Designed/ Applied/ Evaluated/ System |
---|---|---|
15 | 2004 | a fuzzy expert system in the prediction of neonatal resuscitation |
16 | 2008 | a fuzzy system for diagnosis of liver disorders |
17 | 2009 | a systematic Type-II fuzzy expert system for diagnosing human brain tumors |
18 | 2011 | a fuzzy expert system for the control of glycemia in type 1 diabetic patients |
19 | 2011 | an expert system to assist dentists in treating mobile teeth |
20 | 2011 | an expert system for diagnosis of breast cancer in order to differentiate between benign and malignant breast cancer based on neuro-fuzzy rules |
21 | 2012 | a fuzzy system to learn, analyze and diagnose heart disease |
2 | 2013 | a fuzzy expert system designed using MATLAB is proposed for identification of severity of CTS |
22 | 2013 | an expert system for diagnosis of cervical neoplasia (CN) precursor injuries |
23 | 2014 | a fuzzy expert system for spinal cord disorders |
24 | 2014 | a fuzzy rule-based expert system for Multiple Sclerosis (MS) diagnosis |
25 | 2015 | a type-2 fuzzy system that is diagnosing and differentiating Astrocytomas in MRI scans |