Second-generation reference interval determination method and device for inspection item
The invention provides a second-generation reference interval determination method and device for inspection items. The method comprises the following steps: removing abnormal individuals and abnormal inspection items in a physical examination data set; fitting the function relationship between the mean value and the age of the examination items in the physical examination data set according to genders based on a spline function to obtain a visual graph; screening out inspection items with significance levels greater than a preset value by using a visual graph to obtain a sample set; when the abnormal value in the sample set is lower than a preset value, establishing a second-generation reference interval model by using LMS and GALMSS models; and when the abnormal value in the sample set is higher than a preset value, establishing a second-generation reference interval model by using a kosmic algorithm. According to the method, physical examination data collected in the real world is used, and recruitment and detection of subjects are not needed, so that modes of blood drawing, sampling and the like are not involved, operations of cerebrospinal fluid extraction and the like are avoided, the feasibility is higher, and the cost of establishing a second-generation reference interval model is greatly reduced..
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Patent| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Europäisches Patentamt - (2023) vom: 05. Dez. Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
MA CHAOCHAO [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Themen: |
Sonstige Themen: |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2023-12-05, Last update posted on www.tib.eu: 2024-03-04, Last updated: 2024-03-08 |
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| Patentnummer: |
CN117174331 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA019307543 |
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| 520 | |a The invention provides a second-generation reference interval determination method and device for inspection items. The method comprises the following steps: removing abnormal individuals and abnormal inspection items in a physical examination data set; fitting the function relationship between the mean value and the age of the examination items in the physical examination data set according to genders based on a spline function to obtain a visual graph; screening out inspection items with significance levels greater than a preset value by using a visual graph to obtain a sample set; when the abnormal value in the sample set is lower than a preset value, establishing a second-generation reference interval model by using LMS and GALMSS models; and when the abnormal value in the sample set is higher than a preset value, establishing a second-generation reference interval model by using a kosmic algorithm. According to the method, physical examination data collected in the real world is used, and recruitment and detection of subjects are not needed, so that modes of blood drawing, sampling and the like are not involved, operations of cerebrospinal fluid extraction and the like are avoided, the feasibility is higher, and the cost of establishing a second-generation reference interval model is greatly reduced. | ||
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