Optimized Computational Diabetes Prediction with Feature Selection Algorithms
Author:
Affiliation:
1. University of Applied Sciences and Arts Northwestern Switzerland, Switzerland
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3596947.3596948
Reference21 articles.
1. Genetic Algorithm (GA) Optimization using Diabetes Experimental Data
2. World Health Organisation (WHO) , “ Diabetes ,” Health Topics. https://www.who.int/health-topics/diabetes#tab=tab_1 (accessed Jun. 07, 2022 ). World Health Organisation (WHO), “Diabetes,” Health Topics. https://www.who.int/health-topics/diabetes#tab=tab_1 (accessed Jun. 07, 2022).
3. Classification models for likelihood prediction of diabetes at early stage using feature selection
4. Using Hybrid Model of Particle Swarm Optimization and Multi-Layer Perceptron Neural Networks for Classification of Diabetes
5. Genetic algorithm based feature selection and MOE Fuzzy classification algorithm on Pima Indians Diabetes dataset
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