AI/ML-Based Diabetes Application using Hybrid Grey Wolf and Dipper Throated Optimization Algorithm

The application of Deep Learning (DL) in diagnosing chronic epidemiological disorders such as diabetes mellitus has become crucial due to the widespread occurrence of this disease worldwide. However, the diagnosis of diabetes faces many challenges such as missing values, high dimensionality of featu...

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Vydané v:	2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) s. 1 - 5
Hlavní autori:	Dattangire, Rahul, Pamulaparthyvenkata, Saigurudatta, Mandvikar, Shreekant, Balakrishnan, Anandaganesh, Chintale, Pradeep
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 23.08.2024
Predmet:	Accuracy auto encoder Bayes methods Classification algorithms convolutional neural network Convolutional neural networks Decoding deep learning Diabetes dipper throated optimization Encoding Feature extraction grey wolf optimization Optimization Space exploration
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