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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 PDFKnowledge Reasoning- and Progressive Distillation-Integrated Detection of Electrical Construction Violations.
Sensors (Basel)
December 2024
Department of Automation, North China Electric Power University, Baoding 071003, China.
To address the difficulty in detecting workers' violation behaviors in electric power construction scenarios, this paper proposes an innovative method that integrates knowledge reasoning and progressive multi-level distillation techniques. First, standards, norms, and guidelines in the field of electric power construction are collected to build a comprehensive knowledge graph, aiming to provide accurate knowledge representation and normative analysis. Then, the knowledge graph is combined with the object-detection model in the form of triplets, where detected objects and their interactions are represented as subject-predicate-object relationship.
View Article and Find Full Text PDFAdvancements in Smart Wearable Mobility Aids for Visual Impairments: A Bibliometric Narrative Review.
Sensors (Basel)
December 2024
Department of Industrial Design, Guangdong University of Technology, Guangzhou 510006, China.
Research into new solutions for wearable assistive devices for the visually impaired is an important area of assistive technology (AT). This plays a crucial role in improving the functionality and independence of the visually impaired, helping them to participate fully in their daily lives and in various community activities. This study presents a bibliometric analysis of the literature published over the last decade on wearable assistive devices for the visually impaired, retrieved from the Web of Science Core Collection (WoSCC) using CiteSpace, to provide an overview of the current state of research, trends, and hotspots in the field.
View Article and Find Full Text PDFEffect of Acrylate Emulsion on the Mechanical and Microscopic Properties of Straw Fiber-Reinforced Cement-Magnesium Slag Stabilized Soil.
Polymers (Basel)
December 2024
School of Materials Science and Engineering, Chang'an University, Xi'an 710061, China.
In order to investigate the mechanism of mechanical performance enhancement and the curing mechanisms of acrylate emulsion (AE) in cement and magnesium slag (MS) composite-stabilized soil (AE-C-M), this study has conducted a comprehensive analysis of the compressive strength and microstructural characteristics of AE-C-M stabilized soil. The results show that the addition of AE significantly improves the compressive strength of the stabilized soil. When the AE content is 0.
View Article and Find Full Text PDFInvestigation into the Potential Mechanism of Radix Paeoniae Rubra Against Ischemic Stroke Based on Network Pharmacology.
Nutrients
December 2024
Department of Emergency Medicine, Natural and Biomimetic Medicine Research Center, Tissue-Orientated Property of Chinese Medicine Key Laboratory of Sichuan Province, West China School of Medicine, West China Hospital, Sichuan University, Chengdu 610000, China.
Background: Radix Paeoniae Rubra (RPR), an edible and medicinal Traditional Chinese Medicine (TCM), is extensively employed in therapeutic interventions of cardiovascular and cerebrovascular diseases. However, the curative effect of RPR on ischemic stroke remains ambiguous. This work integrated network pharmacology, molecular docking, and experimental validation to explore the mechanisms of RPR in treating ischemic stroke.
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