Ontology-based intelligent healthcare agent and its application to respiratory waveform recognition

作者: C LEE , M WANG

DOI: 10.1016/J.ESWA.2006.06.006

关键词:

摘要: In recent years, the population has been aging gradually, and number of patients with chronic respiratory disease grown increasingly; therefore healthcare plays an important role in clinical care. This paper presents ontology-based intelligent agent for waveform recognition to assist medical staff judging meaning graph reading from ventilators. The contains three modules, including ontology, ontology construction mechanism, fuzzy agent, classify waveform. represents domain knowledge, which will be utilized recognize by agent. mechanism infer numbers each patient or repository. Next, into different types waveforms. Finally, after confirmation experts, classified recognized results are stored experimental show that our approach can effectively.

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