Abstract
The chronic disease which is affecting people among world countries is diabetes. In the early days, only aged people were affected by diabetes. But as the food style and the lifestyle of the people changes, even small age children are now a days affected by diabetes. This makes the world panic about this disease. At present, many are unaware about the causes of this chronic disease. People cannot even predict and tell that they are free from this disease. If this disease is unnoticed by the patient for the long time, then it results in vulnerable conditions. To examine and create the diabetes prediction model, a branch of Artificial Intelligence (AI) which is called by the name Machine Learning (ML) is applied. The system uses Hybrid Optimisation with Ant Colony Optimisation (ACO) with Simulated Annealing (SA) for the selection of the best features and K-Nearest Neighbour (KNN) and Artificial Neural Network (ANN) for the purpose of classification.
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Sandhya, G., Kamalie, K., Kesini, K., Mohanapriya, G. (2024). Prediction of Diabetics Using Hybrid Feature Selection with KNN and ANN. In: Iglesias, A., Shin, J., Patel, B., Joshi, A. (eds) Proceedings of World Conference on Information Systems for Business Management. ISBM 2023. Lecture Notes in Networks and Systems, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-99-8349-0_4
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DOI: https://doi.org/10.1007/978-981-99-8349-0_4
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