Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis

By H. Hannah Inbarani, Ahmad Taher Azar, Jothi Ganesan. Comput. Methods Programs Biomed., 2014

310 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Health Information Management, Information Systems

View Paper: https://www.semanticscholar.org/paper/22ff9f0afc29374c451053a5197f379664691ade

How researchers see this paper

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In Computational Theory and Mathematics

1. M. G. A. Aziz
2. Diego Oliva
3. Songfeng Lu
4. Rehab Ali Ibrahim
5. Ahmed A. Ewees

Citations in the corpus

• Improved salp swarm algorithm based on particle swarm optimization for feature selection (2018, methodology): “The proposed algorithm is compared with the other four algorithms namely, particle swarm optimization (PSO) (Inbarani et al. 2014), salp swarm algorithm (SSA) (Mir-jalili et al. 2017), genetic algorithm (Goldberg and Holland 1988), bat algorithm (Rodrigues et al. 2014).”