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arXiv 1808.06503cs.CYcs.LGstat.ML
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协同压疮预防:护理专业人员,患者,家庭成员和护理人员的自动皮肤损伤和压疮评估工具

Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers

Liverpool John Moores University(利物浦约翰摩尔斯大学)

Paul Fergus, Carl Chalmers, David Tully

摘要:

本文介绍了压疮在线网站,这是一个新的和创新的平台,帮助人们检测,理解和管理压疮的第一步解决方案。它概述了该项目开发的原因,并为压疮分析和正在进行的研究提供了一个中心联系点。利用卷积神经网络和迁移学习中的最新技术以及端到端网络技术,该平台可以分析压疮并报告结果。随着系统通过合作伙伴关系的发展,未来的版本将提供决策支持功能,以描述压疮的复杂特征以及跨多个用户边界的伤口护理信息。因此,该项目旨在提高人们对压疮患者的认识和支持,或为压疮患者提供护理。

英文摘要:

This paper describes the Pressure Ulcers Online Website, which is a first step solution towards a new and innovative platform for helping people to detect, understand and manage pressure ulcers. It outlines the reasons why the project has been developed and provides a central point of contact for pressure ulcer analysis and ongoing research. Using state-of-the-art technologies in convolutional neural networks and transfer learning along with end-to-end web technologies, this platform allows pressure ulcers to be analysed and findings to be reported. As the system evolves through collaborative partnerships, future versions will provide decision support functions to describe the complex characteristics of pressure ulcers along with information on wound care across multiple user boundaries. This project is therefore intended to raise awareness and support for people suffering with or providing care for pressure ulcers.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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