An Extensive Analysis of Machine Learning Techniques With Hyper-Parameter Tuning by Bayesian Optimized SVM Kernel for the Detection of Human Lung Disease

Ramadevi, Potharla; Das, Raja

doi:10.1109/access.2024.3422449

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2024

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Cited by 3 publications

References 48 publications

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Face detection based on K-medoids clustering and associated with convolutional neural networks

Ramadevi,

Das

2024

Heliyon

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Face detection based on K-medoids clustering and associated with convolutional neural networks

Ramadevi,

Das

2024

Heliyon

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Performance Improvement of Support Vector Machine with Firefly Algorithm for Public Complaints Classification

Rahman,

Zamzami,

Sawaluddin

2024

2024 2nd International Conference on Technology Innovation and Its Applications (ICTIIA)

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The Use of Machine Learning Models with Optuna in Disease Prediction

Lai,

Lin,

Liu

et al. 2024

Electronics

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Effectively and equitably allocating medical resources, particularly for minority groups, is a critical issue that warrants further investigation in rural hospitals. Machine learning techniques have gained significant traction and demonstrated strong performance across various fields in recent years. The determination of hyperparameters significantly influences the performance of machine learning models. Thus, this study employs Optuna, a framework specifically designed for optimizing the hyperparameters of machine learning models. Building on prior research, machine learning models with Optuna (MLOPTA) are introduced to forecast diseases of indigenous patients. The numerical results reveal that the designed MLOPTA system can accurately capture the occurrences of specified diseases. Therefore, the MLOPTA system offers a promising approach for disease forecasting. The disease forecasting results can serve as crucial references for allocating hospital resources.

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An Extensive Analysis of Machine Learning Techniques With Hyper-Parameter Tuning by Bayesian Optimized SVM Kernel for the Detection of Human Lung Disease

Cited by 3 publications

References 48 publications

Face detection based on K-medoids clustering and associated with convolutional neural networks

Face detection based on K-medoids clustering and associated with convolutional neural networks

Performance Improvement of Support Vector Machine with Firefly Algorithm for Public Complaints Classification

The Use of Machine Learning Models with Optuna in Disease Prediction

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