决策级数据融合技术在远程医疗监护中的应用

Decision-Level Data Fusion Technology in Remote Medical Care Systems

文章通过归纳全球最新研究成果,提出应用于远程医疗监护中的数据融合模型。文章指出主流的医疗数据融合技术可以分为基于知识与基于样本两大类,并做了全面细致的探讨。文章认为基于最小二乘支持向量机(LSSVM)的数据融合技术优势明显,非常适用于远程医疗监护应用场景。

In this paper, we summarize the latest research and propose a general model for a data-fusion system for remote medical care. Mainstream decision-level data-fusion technology is classified as knowledge-based or sample-data-based. Here we analyze both of these subtypes. We also suggest that the least-squared support vector machine （LSSVM） is the most appropriate technology because of its high performance and efficiency.