NEFCLASSmdash;a neuro-fuzzy approach for the classification of data
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
DECISION SUPPORT WITH LOGICAL AND FUZZY PETRI NETS
Cybernetics and Systems
Knowledge and intelligent computing system in medicine
Computers in Biology and Medicine
An automatic diagnosis system based on thyroid gland: ADSTG
Expert Systems with Applications: An International Journal
A hybrid reasoning mechanism integrated evidence theory and set pair analysis in Swine-Vet
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Bi-level weights sum method for shock diagnosis
Expert Systems with Applications: An International Journal
Expert system based on neuro-fuzzy rules for diagnosis breast cancer
Expert Systems with Applications: An International Journal
A Three-Stage Expert System Based on Support Vector Machines for Thyroid Disease Diagnosis
Journal of Medical Systems
An expert system for optimising thyroid disease diagnosis
International Journal of Computational Science and Engineering
A Computer Aided Diagnosis System for Thyroid Disease Using Extreme Learning Machine
Journal of Medical Systems
Optimizing the modified fuzzy ant-miner for efficient medical diagnosis
Applied Intelligence
Fuzzy and hard clustering analysis for thyroid disease
Computer Methods and Programs in Biomedicine
A New Hybrid Case-Based Reasoning Approach for Medical Diagnosis Systems
Journal of Medical Systems
| Hi-index | 12.06 |
Expert or knowledge-based systems are the most common type of AIM (artificial intelligence in medicine) system in routine clinical use. They contain medical knowledge, usually about a very specifically defined task, and are able to reason with data from individual patients to come up with reasoned conclusions. Although there are many variations, the knowledge within an expert system is typically represented in the form of a set of rules. The thyroid gland is one of the most important organs in the body as thyroid hormones are responsible for controlling metabolism. As a result, thyroid function impacts on every essential organ in the body. When the thyroid produces too much hormone, the body uses energy faster than it should. This condition is called hyperthyroidism. When the thyroid does not produce enough hormone, the body uses energy slower than it should. This condition is called hypothyroidism. Thyroid disease can be difficult to diagnose because symptoms are easily confused with other conditions. When thyroid disease is caught early, treatment can control the disorder even before the onset of symptoms. This study aims at diagnosing thyroid diseases with a expert system that we called as a ESTDD (expert system for thyroid disease diagnosis). We found fuzzy rules by using neuro fuzzy method, which will be emplaced in ESTDD system. ESTDD could diagnose with 95.33% accuracy thyroid diseases. Beside it can be benefited from this system for training of students in medicine.