Multi-dimensional Temporal Abstraction to Support Neonatal Clinical Research

多维时间抽象支持新生儿临床研究

• 批准号: DP0772335
• 负责人: Prof Simeon Simoff
• 金额: $ 6.01万
• 依托单位: Western Sydney University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2007
• 资助国家: 澳大利亚
• 起止时间: 2007-01-01 至 2009-09-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0772335
• 关键词: Multi; dimensional; Temporal; Abstraction; Support

Each year, the death of a baby causes grief for thousands of Australian parents, contributes to depression and considerable anxiety in the population. In this work we propose procedures that will significantly reduce this unhappy scenario. The availability of a complex trend and pattern analysis will give Neonatologists access to predictive clinical analysis that has not previously been available locally or internationally. Thus, significant benefits in terms of lower mortality rates and lower long-term disability rates among babies requiring special care is possible. This research will provide the basis for future projects that will support regional hospitals.

每年，一个婴儿的死亡都会给成千上万的澳大利亚父母带来悲伤，导致抑郁症和相当大的焦虑。在这项工作中，我们提出的程序，将显着减少这种不愉快的情况。复杂趋势和模式分析的可用性将使新生儿医生能够获得以前在当地或国际上无法获得的预测性临床分析。因此，有可能在降低需要特殊护理的婴儿的死亡率和长期残疾率方面产生重大效益。这项研究将为未来支持地区医院的项目提供基础。