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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Veröffentlicht in:	2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) S. 1 - 5
Hauptverfasser:	Dattangire, Rahul, Pamulaparthyvenkata, Saigurudatta, Mandvikar, Shreekant, Balakrishnan, Anandaganesh, Chintale, Pradeep
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 23.08.2024
Schlagworte:	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
Online-Zugang:	Volltext
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