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Titlebook: Applied Informatics; 7th International Co Hector Florez,Hernán Astudillo Conference proceedings 2025 The Editor(s) (if applicable) and The

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MultiMF: A Deep Multimodal Academic Resources Recommendation Systemudy explores the integration of unstructured data, such as descriptions, and structured data, such as knowledge graphs, in the context of academic recommendation systems. We utilize two distinct datasets: MOOCCubeX, an open MOOC dataset, and DBLPv12, a citation network dataset, to evaluate the impac
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Safeguarding Patient Data: Advanced Security in Wireless Body Area Networks and AI-Driven HealthcareAI systems can enhance security by detecting patterns indicative of cyber threats and deploying adaptive defenses. This study emphasizes the importance of robust security architectures and innovative AI applications to protect patient data in WBAN and CPS, ensuring secure and reliable healthcare ser
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Extraction and Selection of Multi-omic Features for the Breast Cancer Survival Predictionions, and methylation levels. These datasets are used to create and compare single- and multi-omic models capable of predicting 5-year survival rates for breast cancer. Additionally, we assess the impact of different feature selection and data aggregation techniques on patient classification accurac
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Improvement of Acute and Chronic Nutritional Status by Supplying a Metabolic Biostimulator to Childrthe nutritional status of children globally. The presented proof of concept displays a framework in a remote region where child malnutrition is endemic, and the proposed technological platform supports the operation with real-time reporting and data analytics on demand.
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https://doi.org/10.1007/978-981-13-2059-0curate artificial intelligence models are crucial for medical applications such as diagnosis and prognosis of this major disease, which represents a growing cause of death worldwide and in Argentina. In low and middle-income countries such as our own, access to automatic image analysis platforms is
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