A Construction Method of Optimal Curve Model of Association Rules
A technology of optimal curve and construction method, which is applied in special data processing applications, instruments, electrical digital data processing, etc., and can solve problems such as unsuitable measurement methods and difficulties in pros and cons
Inactive Publication Date: 2018-03-13
INST OF RADIATION MEDICINE ACAD OF MILITARY MEDICAL SCI OF THE PLA
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However, the common data form of risk prediction indicators is usually dichotomous data, such as whether to smoke or not to drink alcohol. Once a prediction model is constructed based on such data, there are no parameters to adjust, so the measurement method of the area under the accuracy and specificity curve is not applicable , it is very difficult to compare the pros and cons of
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[0014] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0015] Such as figure 1 As shown, the present invention provides a method for constructing an association rule optimal curve model, comprising the following steps:
[0016] 1) Determine several risk factors of a disease, obtain the risk factors contained in the participating population and the dichotomous statistical data of the disease, wherein, the data content of each risk factor in the dichotomous statistical data depends on whether the participating population contains the Risk factors were identified as "yes" or "no".
[0017] 2) Arbitrarily combining several risk factors of the disease to obtain n risk factor combinations, wherein n is a positive integer. Use each combination of risk factors as an association rule The leading X in , the disease as an association rule Subsequent Y in , calculate support supp(XY) and confidence conf(Y|X) fo...
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The invention relates to a method for constructing an optimal curve model of an association rule, comprising the following steps: determining the risk factors of a disease, obtaining dichotomous statistical data of the participating population; combining the risk factors to obtain n kinds of risk factor combinations, and calculating their Support and confidence in type statistics; after the risk factor combinations are arranged in order of their confidence from high to low, the first i risk factor combinations are combined to form n risk factor composite combinations; the risk factor composite combination support is calculated and confidence; draw the corresponding points in the support-confidence Cartesian coordinate system and connect them with a smooth curve, which is the optimal curve of the association rule with the best confidence under a certain support . The invention is easy to operate and can effectively compare the pros and cons of association rules with different confidence and support degrees at the same time, so it is widely used in the construction of the optimal curve model of association rules.
Description
technical field [0001] The invention relates to a method for constructing a curve model, in particular to a method for constructing an optimal curve model of an association rule. Background technique [0002] Regular monitoring and risk prediction of common indicators among susceptible populations is a common strategy for the prevention and control of non-epidemic diseases. The actual risk of such diseases is usually related to multiple risk indicators such as demographic characteristics and living habits. In order to accurately predict the risk of disease, according to the same clinical statistical continuous data, different strategies can be applied to obtain multiple risk prediction models, and the advantages and disadvantages of multiple risk prediction models are generally adjusted by adjusting the model parameters. The area under the curve of prediction accuracy and specificity was obtained to measure. However, the common data form of risk prediction indicators is us...
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IPC IPC(8): G06F17/50
Inventor 李非伯晓晨徐文剑于耀东
Owner INST OF RADIATION MEDICINE ACAD OF MILITARY MEDICAL SCI OF THE PLA