Big Data: Digitisation, Semantic Analysis, Topic Modelling, Visualisation and Exploration.

卫生、保健和教育领域迫切需要一种新的、具有成本效益的方法，通过这种方法可以向专业用户提供非结构化数据。具体来说，从纸质记录和数字文档的内容中更快速、更容易地推导出上下文中的含义。此外，迫切需要更好地获得医疗和社会保健领域的“联合”相关信息。（例如，危险儿童的早期预警信号，痴呆等长期衰弱的早期发病风险诊断）。问题在于，许多信息隐藏在文档的内容（非结构化数据）中，而不是隐藏在数据库驱动系统的结构化数据输入中。该项目将从文档集合中揭示隐藏的含义，并提供创新的用户体验，以支持基于证据的决策。

There is significant need across health, care & education for a new, cost effective means by which unstructured data can be presented to professional users. Specifically, to more instantly and easily derive meaning in context from within the content of paper records and digital documents. There is also a critical need for better access to ‘joined-up’ relevant information across the medical and social care divide. (e.g. early warning signs for children at risk, early onset risk diagnosis of long term debilitation like dementia). The problem is that much of the information is hidden within the content of documents (unstructured data) rather than in the structured data input to and held within database driven systems. This project will unlock the hidden meaning from within document collections and provide innovative user experiences to support evidence-based decisions.