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Using grey relational analysis to analyze the medical data
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Grey relational analysis (GRA) proposed by Deng Julong is very useful to analyze medical data. The essential thought of GRA is to find a grey relational order, which can be used to describe the relation between the related factors based on data series. The two‐grade difference is a traditional method of GRA and the three‐grade difference is an improved one. The basic steps and formulae of GRA are introduced and GRA is used to analyze the experiment medical data, clinical trial data, data of clinical study and ambulatory and grouping medical data.
Title: Using grey relational analysis to analyze the medical data
Description:
Grey relational analysis (GRA) proposed by Deng Julong is very useful to analyze medical data.
The essential thought of GRA is to find a grey relational order, which can be used to describe the relation between the related factors based on data series.
The two‐grade difference is a traditional method of GRA and the three‐grade difference is an improved one.
The basic steps and formulae of GRA are introduced and GRA is used to analyze the experiment medical data, clinical trial data, data of clinical study and ambulatory and grouping medical data.
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