Knowledge discovery and recommendation of multimedia data in healthcare

该项目旨在开发工具，将不断增长的信息丰富的多媒体内容抽象/简化为易于理解的知识。先进的多媒体知识图谱将首次开发，以准确地挖掘隐藏的知识，为健康产业，并服务于产生正确的信息推荐给医疗保健专业人员（HCP）在正确的时间。拟议的技术将改善医护人员的沟通，使他们保持最新状态，并提高他们对不断变化的情况/疾病的快速反应，从而减少病人的不良结果和不必要的医院费用。它将对一系列行业产生重大影响，例如医疗保健，需要个性化的专业建议。

The project aims to develop tools to abstract/streamline the ever-growing information-rich multimedia contents into easily discoverable knowledges. Advanced multimedia knowledge graph will be first time developed to accurately exploit hidden knowledge for health industry, and served to generate right information recommendation for healthcare professionals (HCP) at the right time. The proposed technology will improve HCPs' communication, keep them up to date, and enhance their speedy reaction to constantly changing situations/diseases, thus reducing poor patient outcomes and unnecessary hospital costs. It will make significant impact to a range of industries, e.g. healthcare, where personalised professional recommendation is demanded.