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Swaroop et al., 2024 - Google Patents

Optimizing Diabetes Prediction through Intelligent Feature Selection: A Comparative Analysis of Grey Wolf Optimization with AdaBoost and Ant Colony Optimization …

Swaroop et al., 2024

Document ID
4309882358459607419
Author
Swaroop C
Jayamanasa V
Shankar R
Babu M
Shariff V
Kumar N
Publication year
Publication venue
Algorithms in Advanced Artificial Intelligence: ICAAAI-2023

External Links

Snippet

Diabetes, a common metabolic disease with serious health effects, is the focus of this investigation. A unique method to increase predicted accuracy is presented in the study. We use ensemble learning methods like Grey Wolf Optimization (GWO) with Adaboost and Ant …
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Classifications

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    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
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    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q50/22Health care, e.g. hospitals; Social work
    • G06Q50/24Patient record management
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    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/24Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
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