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- Title
An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis.
- Authors
Santucci, Valentino; Milani, Alfredo; Caraffini, Fabio
- Abstract
This article presents a novel hybrid classification paradigm for medical diagnoses and prognoses prediction. The core mechanism of the proposed method relies on a centroid classification algorithm whose logic is exploited to formulate the classification task as a real-valued optimisation problem. A novel metaheuristic combining the algorithmic structure of Swarm Intelligence optimisers with the probabilistic search models of Estimation of Distribution Algorithms is designed to optimise such a problem, thus leading to high-accuracy predictions. This method is tested over 11 medical datasets and compared against 14 cherry-picked classification algorithms. Results show that the proposed approach is competitive and superior to the state-of-the-art on several occasions.
- Subjects
CLASSIFICATION algorithms; DIAGNOSIS methods; SWARM intelligence; ALGORITHMS; DIAGNOSIS; CANCER prognosis
- Publication
Mathematics (2227-7390), 2019, Vol 7, Issue 11, p1051
- ISSN
2227-7390
- Publication type
Article
- DOI
10.3390/math7111051