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Method for evaluating statistical efficiency under different grouping sets

A grouping and efficiency technology, applied in medical data mining, computer-aided medical procedures, medical automated diagnosis, etc., can solve the problems of grouping without decision-making standards, large manpower consumption, and low accuracy

Pending Publication Date: 2020-08-25
ACER INC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there is currently no automated mechanism for judging the pros and cons of different grouping sets
Therefore, the use of frailty indicators for disease management is often labor-intensive
Moreover, since there is no decision-making standard for judging the pros and cons of different grouping sets, there is a problem of low accuracy

Method used

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  • Method for evaluating statistical efficiency under different grouping sets
  • Method for evaluating statistical efficiency under different grouping sets
  • Method for evaluating statistical efficiency under different grouping sets

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Experimental program
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Embodiment Construction

[0025] figure 1 It is a structure diagram of an embodiment of the statistical efficacy evaluation system 100 of the present invention. The statistical performance evaluation system 100 has the function of automatically generating the ranking results of the statistical performance under different grouping sets. Moreover, the statistical efficacy evaluation system 100 can also be applied to the analysis of statistical data in any field. However, for the convenience of description, the statistical efficacy evaluation system 100 will be described below as being applied to disease management and death risk management in medical technology. The statistical performance evaluation system 100 includes a database 10 and a processing device 11 . The database 10 can be any kind of memory space, such as the memory of a cloud server or a hard disk for storing patient data, and the like. The processing device 11 can be any hardware with computing capability, such as a computer, workstatio...

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Abstract

The invention discloses a method for evaluating statistical efficiency under different grouping sets. The method comprises the following steps: setting a plurality of first grouping ranges of a firstgrouping set corresponding to a sample space; setting a plurality of second grouping ranges of a second grouping set corresponding to the sample space; generating a plurality of first probability values and a plurality of first standard deviations corresponding to the plurality of first grouping ranges at each sampling time according to the sample space; generating a plurality of second probability values and a plurality of second standard deviations corresponding to the plurality of second grouping ranges at each sampling time according to the sample space; and generating a plurality of statistical indexes corresponding to the first grouping set and the second grouping set, and outputting efficiency sequencing results of the first grouping set and the second grouping set according to thestatistical indexes.

Description

technical field [0001] The invention relates to a method for evaluating statistical performance under different grouping sets, in particular to a method for generating sorting results of statistical performance under different grouping sets according to statistical characteristics. Background technique [0002] With the rapid development of technology, medical technology is also developing day by day. Nowadays, many diagnostic and treatment processes, drug experiments or disease management often use the medical statistical data of patients to evaluate their efficacy indicators. For example, doctors can count the number of diseases and the risk of death probability to establish different risk levels. In current medical technology, the Frailty Index is a common disease management index. The frailty index is defined as the relationship between the number of diseases obtained by a patient and the risk of death in a specific disease set (for example, 32 specific diseases). [...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/70
CPCG16H50/20G16H50/70
Inventor 陈陪蓉蔡宗宪陈亮恭彭莉宁李威儒
Owner ACER INC