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The goal of this research is to develop novel cluster analysis techniques to identify similarity between ICU time-series data. The results generated by cluster analysis are further used for ICU mortality prediction. To preprocess multi-granular ICU time-series, we proposed a segmentation-based method to divide time-series into several segments. The minimal and maximal values within each segment were...
In order to classify the disease from the clinical database, according to the characteristic of disease in rough relational databases, a method to classify the disease was put forward. Firstly, to collect the disease symptom model information table from the clinical database; secondly, symptom typical characterizing using accuracy; thirdly, classify the disease based on a novel rough distance. The...
Assist medical diagnosis is a significative work. In the paper, symptom characterizing based on accuracy, extract rules method from clinical databases based on rough exclusive, matching with tolerant, and a rough strategic decision system based on these concepts, is put forward. It was proved to be feasible and effective after tested with a database.
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