Titlebook: Health Information Science; 12th International C Yan Li,Zhisheng Huang,Rui Zhou Conference proceedings 2023 The Editor(s) (if applicable) a

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Raza Nowrozy,Khandakar AhmedIn the previous chapters, a methodology based on local component loads was presented with the help of which an algorithm could be developed that enables timely triggering for accident scenarios that represent the real-world load case collective. This methodology was developed using simulation data.

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Avisen Moonsamy,Mohiuddin AhmedThis chapter explains the basics of the new algorithm concept. The principle of the local component-specific load is introduced and a comparison between an algorithm based on a overall vehicle deceleration and the new concept is carried out on the basis of measurement signals.

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Markian Jaworsky,Xiaohui Tao,Jianming Yong,Lei Pan,Ji Zhang,Shiva Raj PokhrelIn the previous chapters, a methodology based on local component loads was presented with the help of which an algorithm could be developed that enables timely triggering for accident scenarios that represent the real-world load case collective. This methodology was developed using simulation data.

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A Question and Answering System for Mental Health of the Elderly Based on BiLSTM-CRF Model and Knowlical problems, and 27% of the elderly have obvious psychological disorders such as anxiety and depression. The demand for offline and online consultation and intervention services is becoming increasingly urgent. However, there is currently a lack of systematic mental health intervention strategies

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Australia’s Notifiable Data Breach Scheme: An Analysis of Risk Management Findings for Healthcared by the Office of the Australian Information Commissioner (OAIC). Applying investigative techniques including descriptive and inferential statistics, Pareto analysis, distribution analysis, and bivariate correlations it is discovered that 80% of data breach incidents are substantively caused by fiv

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Enhancing Health Information Systems Security: An Ontology Model Approachdentifies existing gaps in research and proposes a novel security ontology model aimed at strengthening the defence of health information systems. The model revolves around the Ontology Conceptual Security Model, which comprehensively captures the intricate relationships between different components