A Comprehensive Analysis of Deep Learning-Based Approaches for Prediction and Prognosis of Infectious Diseases

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(7), P. 4477 - 4497

Published: June 8, 2023

Language: Английский

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An Analysis of Deep Transfer Learning-Based Approaches for Prediction and Prognosis of Multiple Respiratory Diseases Using Pulmonary Images

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 31(2), P. 1023 - 1049

Published: Oct. 31, 2023

Language: Английский

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A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Lifestyle Diseases

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(8), P. 4733 - 4756

Published: June 24, 2023

Language: Английский

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An Analysis of Detection and Diagnosis of Different Classes of Skin Diseases Using Artificial Intelligence-Based Learning Approaches with Hyper Parameters

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 31(2), P. 1051 - 1078

Published: Oct. 19, 2023

Language: Английский

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A Federated Learning Approach to Breast Cancer Prediction in a Collaborative Learning Framework

Healthcare, Journal Year: 2023, Volume and Issue: 11(24), P. 3185 - 3185

Published: Dec. 17, 2023

Breast cancer continues to pose a substantial worldwide public health concern, necessitating the use of sophisticated diagnostic methods enable timely identification and management. The present research utilizes an iterative methodology for collaborative learning, using Deep Neural Networks (DNN) construct breast detection model with high level accuracy. By leveraging Federated Learning (FL), this framework effectively combined knowledge data assets several healthcare organizations while ensuring protection patient privacy security. described in study showcases significant progress field diagnoses, maximum accuracy rate 97.54%, precision 96.5%, recall 98.0%, by optimum feature selection technique. Data augmentation approaches play crucial role decreasing loss improving performance. Significantly, F1-Score, comprehensive metric evaluating performance, turns out be 97%. This signifies notable advancement screening, fostering hope improved outcomes via increased reliability. highlights potential impact namely, FL, transforming detection. incorporation considerations diverse sources contribute early treatment cancer, hence yielding benefits patients on global scale.

Language: Английский

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Artificial Intelligence-Based Approaches for Detection and Classification of Different Classes of Malaria Parasites Using Microscopic Images: A Systematic Review

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(8), P. 4781 - 4800

Published: June 23, 2023

Language: Английский

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A Comprehensive Study on Deep Learning Models for the Detection of Ovarian Cancer and Glomerular Kidney Disease using Histopathological Images

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

Language: Английский

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A Comprehensive Analysis of Deep Learning-Based Approaches for the Prediction of Gastrointestinal Diseases Using Multi-class Endoscopy Images

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(7), P. 4499 - 4516

Published: June 15, 2023

Language: Английский

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Machine Learning Based Approaches for Livestock Symptoms and Diseases Prediction and Classification

Published: May 9, 2024

Language: Английский

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Efficient Approach for Diagnosis and Detection of Alzheimer Diseases Using Deep Learning

Published: Sept. 27, 2024

Language: Английский

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