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Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy.
Viruses
November 2024
Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.
In this study, we introduce a novel approach that integrates interpretability techniques from both traditional machine learning (ML) and deep neural networks (DNN) to quantify feature importance using global and local interpretation methods. Our method bridges the gap between interpretable ML models and powerful deep learning (DL) architectures, providing comprehensive insights into the key drivers behind model predictions, especially in detecting outliers within medical data. We applied this method to analyze COVID-19 pandemic data from 2020, yielding intriguing insights.
View Article and Find Full Text PDFIsothermal Nucleic Acid Amplification for Point-of-Care Primary Cervical Cancer Screening.
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November 2024
Department of Urology, North Hospital, CHU Saint Etienne, 42055 Saint Etienne, France.
Human Papillomavirus (HPV) infection is a significant global health concern linked to various cancers, particularly cervical cancer. Timely and accurate detection of HPV is crucial for effective management and prevention strategies. Traditional laboratory-based HPV testing methods often suffer from limitations such as long turnaround times, restricted accessibility, and the need for trained personnel, especially in resource-limited settings.
View Article and Find Full Text PDFVaccination Education Deficits and Vaccine Hesitancy Among Healthcare Students in Japan: A Cross-Sectional Study.
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November 2024
Department of Pediatrics, Niigata University Graduate School of Medical and Dental Sciences, Niigata 951-8510, Japan.
Background/objectives: Healthcare professionals' (HCPs') accurate knowledge of and positive attitudes toward immunization greatly influence society's acceptance of it. Early and appropriate immunization education for HCP students is vital. This study aimed to understand current immunization education and vaccine hesitancy among medical, nursing, and pharmacy students in Japan.
View Article and Find Full Text PDFApplication of Machine Learning to Predict CO Emissions in Light-Duty Vehicles.
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December 2024
Department of Computer Science, School of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK.
Climate change caused by greenhouse gas (GHG) emissions is an escalating global issue, with the transportation sector being a significant contributor, accounting for approximately a quarter of all energy-related GHG emissions. In the transportation sector, vehicle emissions testing is a key part of ensuring compliance with environmental regulations. The Vehicle Certification Agency (VCA) of the UK plays a pivotal role in certifying vehicles for compliance with emissions and safety standards.
View Article and Find Full Text PDFHKAN: A Hybrid Kolmogorov-Arnold Network for Robust Fabric Defect Segmentation.
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December 2024
School of Computer and Artificial Intelligence, Wuhan Textile Unversity, Wuhan 430200, China.
Currently, fabric defect detection methods predominantly rely on CNN models. However, due to the inherent limitations of CNNs, such models struggle to capture long-distance dependencies in images and fail to accurately detect complex defect features. While Transformers excel at modeling long-range dependencies, their quadratic computational complexity poses significant challenges.
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