Transportation Modeling: An Artificial Life Approach
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Routing and wavelength assignment in all-optical networks based on the bee colony optimization
AI Communications - Network Analysis in Natural Sciences and Engineering
Expert Systems with Applications: An International Journal
Case-based reasoning as a decision support system for cancer diagnosis: A case study
International Journal of Hybrid Intelligent Systems - Data Mining and Hybrid Intelligent Systems
A survey: algorithms simulating bee swarm intelligence
Artificial Intelligence Review
An Approach to Identify Optic Disc in Human Retinal Images Using Ant Colony Optimization Method
Journal of Medical Systems
Bee colony optimization for the p-center problem
Computers and Operations Research
A novel case based reasoning approach to radiotherapy planning
Expert Systems with Applications: An International Journal
Case-based reasoning for assessment and diagnosis of depression in palliative care
CBMS '10 Proceedings of the 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems
ACO for the Surgical Cases Assignment Problem
Journal of Medical Systems
A Three-Stage Expert System Based on Support Vector Machines for Thyroid Disease Diagnosis
Journal of Medical Systems
Transit network design by Bee Colony Optimization
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Thyroid cancers are the most common endocrine carcinomas. Case-based reasoning (CBR) is used in this paper to describe a physician's expertise, intuition and experience when treating patients with well differentiated thyroid cancer. Various clinical parameters (the patient's diagnosis, the patient's age, the tumor size, the existence of metastases in the lymph nodes and the existence of distant metastases) influence a physician's decision-making in dose planning. The weights (importance) of these parameters are determined here with the Bee Colony Optimization (BCO) meta-heuristic. The proposed CBR-BCO model suggests the I-131 iodine dose in radioactive iodine therapy. This approach is tested on real data from patients treated in the Department of Nuclear Medicine, Clinical Center Kragujevac, Serbia. By comparing the results that are obtained through the developed CBR-BCO model with those resulting from the physician's decision, it has been found that the developed model is highly reflective of reality.