# Symptom based Hierarchical Classification of Diabetes and Thyroid disorders using Fuzzy Cognitive Maps

arXiv: https://arxiv.org/abs/2108.03760 · HTML: https://mlsanity.com/paper/2108.03760/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 30 references that are in the map.
- First posted on arXiv 8 Aug 2021.

## Builds on (most cited first, 4 of 4)

- [AP-side WLAN Analytics](https://mlsanity.com/paper/2105.04524/) (2021)
- [A Novel Compact Tri-Band Antenna Design for WiMAX, WLAN and Bluetooth Applications](https://mlsanity.com/paper/2106.12884/) (2021)
- [A Novel Compact Dual-Band Antenna Design for WLAN Applications](https://mlsanity.com/paper/2106.13232/) (2021)
- [A Study of Ultrawideband (UWB) Antenna Design for Cognitive Radio Applications](https://mlsanity.com/paper/2106.15272/) (2021)

## Abstract (arXiv)

Fuzzy Cognitive Maps (FCMs) are soft computing technique that follows an approach similar to human reasoning and human decision-making process, making them a valuable modeling and simulation methodology. Medical Decision Systems are complex systems consisting of many factors that may be complementary, contradictory, and competitive; these factors influence each other and determine the overall diagnosis with a different degree. Thus, FCMs are suitable to model Medical Decision Support Systems. The proposed work therefore uses FCMs arranged in hierarchical structure to classify between Diabetes, Thyroid disorders and their subtypes. Subtypes include type 1 and type 2 for diabetes and hyperthyroidism and hypothyroidism for thyroid.