Variation parameter calculation method and device for biochemical indexes of lipemia, hemolysis and jaundice and program product

Abstract

The invention relates to the field of intelligent medical treatment, in particular to a variation parameter calculation method and device for biochemical indexes of lipemia, hemolysis and jaundice and a program product. Comprising the following steps: acquiring a lipid serum sample set and a normal serum sample set; performing biochemical index detection on the lipid serum sample set and the normal serum sample set to obtain a first biochemical value and a second biochemical value; mixing the lipid serum sample set with the normal serum sample set to obtain a mixed serum sample set, and performing biochemical index detection on the mixed serum sample set to obtain a third biochemical value; performing mean value calculation on the first biochemical value and the second biochemical value to obtain a biochemical theoretical mean value; and performing variation coefficient calculation on the biochemical theoretical mean value and the third biochemical value to obtain a variation parameter. The method can be used for calculating corrected biochemical indexes of lipemia, hemolysis and jaundice, and has good clinical value.

Description

Technical Field

[0001] The present application relates to the field of intelligent medical care, and specifically to a method, device, program product, and computer-readable storage medium for calculating variation parameters of biochemical indicators of lipemia, hemolysis, and jaundice. Background Art

[0002] Lipemia refers to an excessively high lipid content in the blood, which results in lipids being able to only bind to proteins and protein forms and being difficult to fuse with water, leading to severe lipidosis. In clinical diagnosis, biochemical tests are very common, but severe lipidemia in samples may have a certain impact on the biochemical test results, mainly directly affecting the accuracy of the biochemical results. For example, the total bilirubin, alanine transaminase, and glucose levels in patients with lipemia are higher than those in the normal control group, thus affecting the accuracy of biochemical test results. Therefore, medical staff need to strictly standardize operations in the collection, transportation, and storage of blood specimens. Summary of the Invention

[0003] To address the above problems, the present invention provides a method for calculating the variation parameters of biochemical indicators of lipemia, hemolysis, and jaundice, which specifically includes:

[0004] Obtaining lipemic serum sample sets and normal serum sample sets;

[0005] Performing biochemical index detection on the lipemia serum sample set and the normal serum sample set to obtain a first biochemical value and a second biochemical value;

[0006] Mixing the lipemia serum sample set with the normal serum sample set to obtain a mixed serum sample set, and performing biochemical index detection on the mixed serum sample set to obtain a third biochemical value;

[0007] The first biochemical value and the second biochemical value are averaged to obtain the biochemical theoretical mean;

[0008] The coefficient of variation is calculated by calculating the biochemical theoretical mean and the third biochemical value to obtain a variation parameter.

[0009] The lipemic serum sample includes any one or more of the following: lipemia, hemolysis, and icterus;

[0010] Optionally, the lipemic serum sample and the normal serum sample are mixed in equal proportions;

[0011] Optionally, the lipemic serum sample includes different degrees of lipemia.

[0012] The different degrees of lipemia include any one or more of the following: <50mmol / L, 50mmol / L-100mmol / L, 100mmol / L-150mmol / L, 150mmol / L-200mmol / L, >200mmol / L;

[0013] Optionally, the lipemic serum includes varying degrees of hemolysis;

[0014] Optionally, the different degrees of hemolysis include any one or more of the following: <30mmol / L, 30mmol / L-100mmol / L, 100mmol / L-200mmol / L, 200mmol / L-500mmol / L, greater than 500mmol / L;

[0015] Optionally, the lipemic serum includes varying degrees of jaundice;

[0016] Optionally, the different degrees of jaundice include any one or more of the following: <2mmol / L, 2mmol / L-4mmol / L, 4mmol / L-10mmol / L, 10mmol / L-20mmol / L, >20mmol / L.

[0017] Obtaining variation parameters of different degrees of lipemia based on the different degrees of lipemia;

[0018] Optionally, variation parameters of different degrees of hemolysis are obtained based on the different degrees of hemolysis;

[0019] Optionally, variation parameters of different degrees of jaundice are obtained based on the different degrees of jaundice.

[0020] The first biochemical value is the average of the biochemical values of the lipemia serum sample set after N tests, where N is a natural number greater than or equal to 5;

[0021] Optionally, the N tests are tests of N lipemia serum samples with the same lipemia level;

[0022] Optionally, the first biochemical value is replaced by an average of biochemical values obtained by biochemical testing of different degrees of lipemia.

[0023] The object of the present invention is to provide a method for predicting changes in biochemical indicators based on lipemia, hemolysis, and jaundice, comprising:

[0024] Obtaining lipid serum samples from subjects and performing biochemical tests to obtain biochemical values;

[0025] Obtaining variation parameters, wherein the variation parameters are obtained by the above-mentioned variation parameter calculation method of the lipemia, hemolysis, and jaundice biochemical indicators;

[0026] The variation change value of the biochemical value of the lipemia serum sample is calculated based on the variation parameter.

[0027] The method further includes determining the degree of lipemia, performing a degree of lipemia determination on the lipemia serum sample to obtain the lipemia degree; and obtaining the coefficient of variation of the lipemia degree;

[0028] Optionally, the method further includes variation correction, performing variation correction based on the biochemical value and the variation change value to obtain the biochemical value before variation.

[0029] The object of the present invention is to provide a computer program product, which includes a computer program or instructions, and the computer program or instructions are executed by a processor to implement the above-mentioned method for calculating the variation parameters of the biochemical indicators of lipemia, hemolysis, and jaundice, or to implement the above-mentioned method for predicting changes in biochemical indicators based on lipemia, hemolysis, and jaundice.

[0030] The object of the present invention is to provide a computer device, which includes a memory, a processor and a computer program or instructions stored on the memory, wherein the computer program or instructions are executed by the processor to implement the above-mentioned method for calculating the variation parameters of the biochemical indicators of lipemia, hemolysis and jaundice, or to implement the above-mentioned method for predicting changes in biochemical indicators based on lipemia, hemolysis and jaundice.

[0031] The object of the present invention is to provide a computer-readable storage medium having a computer program or instruction stored thereon, wherein the computer program or instruction is executed by a processor to implement the above-mentioned method for calculating the variation parameters of the biochemical indicators of lipemia, hemolysis, and jaundice, or to implement the above-mentioned method for predicting changes in biochemical indicators based on lipemia, hemolysis, and jaundice.

[0032] Advantages of the present invention:

[0033] 1. In view of the impact of lipemia on the detection of biochemical indicators, the present invention proposes a conventional method that is different from the existing technology. By calculating the coefficient of variation between the biochemical indicator values of mixed blood composed of lipemia and normal blood and lipemia and normal blood, the normal biochemical indicators of lipemia patients are obtained through data conversion.

[0034] 2. Different degrees of lipemia have different effects on biochemical indicators. Variation calculations are performed on different degrees of lipemia to obtain corresponding variation parameters. This can accurately calculate the degree of variation and improve the accuracy of normal biochemical indicator values in patients with lipemia.

[0035] 3. In addition to lipemia, the coefficient of variation is also calculated for hemolysis and jaundice, which have an impact on biochemical indicators. The corresponding normal biochemical indicator values are calculated in real time for patients with hemolysis and jaundice.

[0036] 4. Biochemical index testing is an important indicator for the diagnosis of many diseases. When a patient's blood is lipemic, hemolytic, or icteric, abnormal biochemical index values can lead to delayed diagnosis of the disease (existing methods include patient abstinence, waiting for the patient's blood to return to normal (for a minor degree), and centrifuge filtration treatment (for a more severe degree)). Therefore, the method of the present invention can promptly resolve the problem of inaccurate biochemical indicators caused by lipemia. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 A schematic flow chart of a method for calculating variation parameters of biochemical indicators of lipemia, hemolysis, and jaundice provided in an embodiment of the present invention;

[0039] Figure 2 Schematic diagram of a system for calculating variation parameters of biochemical indicators of lipemia, hemolysis, and jaundice provided in an embodiment of the present invention;

[0040] Figure 3 Schematic diagram of a device for calculating variation parameters of biochemical indicators of lipemia, hemolysis, and jaundice provided in an embodiment of the present invention;

[0041] Figure 4 The definition of hemolysis (H), icteremia (I), and lipemia (L) provided in the embodiments of the present invention;

[0042] Figure 5 The coefficients of variation of different indicators provided in the embodiments of the present invention at different degrees of hemolysis. DETAILED DESCRIPTION

[0043] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0044] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or may be executed in parallel. The serial numbers of the operations, such as S101, S102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., and do not represent the order of precedence, nor do they limit "first" and "second" to be different types.

[0045] Figure 1 The schematic diagram of the method for calculating the variation parameters of the biochemical indicators of lipemia, hemolysis, and jaundice provided in the embodiment of the present invention specifically includes:

[0046] S101: Obtaining a lipemia serum sample set and a normal serum sample set; performing biochemical index detection on the lipemia serum sample set and the normal serum sample set to obtain a first biochemical value and a second biochemical value;

[0047] In one embodiment, the lipemic serum sample includes any one or more of the following: lipemia, hemolysis, and icterus.

[0048] In one embodiment, the lipemic serum sample comprises varying degrees of lipemia.

[0049] In one embodiment, the different degrees of lipemia include any one or more of the following: <50 mmol / L, 50 mmol / L-100 mmol / L, 100 mmol / L-150 mmol / L, 150 mmol / L-200 mmol / L, >200 mmol / L.

[0050] In one embodiment, the lipemic serum includes varying degrees of hemolysis;

[0051] Optionally, the different degrees of hemolysis include any one or more of the following: <30mmol / L, 30mmol / L-100mmol / L, 100mmol / L-200mmol / L, 200mmol / L-500mmol / L, greater than 500mmol / L.

[0052] In one embodiment, the lipemic serum includes different degrees of jaundice, and the different degrees of jaundice include any one or more of the following: <2mmol / L, 2mmol / L-4mmol / L, 4mmol / L-10mmol / L, 10mmol / L-20mmol / L, >20mmol / L.

[0053] S102: mixing the lipemia serum sample set with the normal serum sample set to obtain a mixed serum sample set, and performing biochemical index detection on the mixed serum sample set to obtain a third biochemical value;

[0054] In one embodiment, the lipemic serum sample and the normal serum sample are mixed in equal proportions.

[0055] S103: Calculating the mean of the first biochemical value and the second biochemical value to obtain a biochemical theoretical mean;

[0056] In one embodiment, the first biochemical value is the average of the biochemical values of the lipemia serum sample set after N tests, where N is a natural number greater than or equal to 5.

[0057] Optionally, the N tests are tests of N lipemia serum samples with the same lipemia level.

[0058] In one embodiment, the first biochemical value is replaced by an average of biochemical values obtained by biochemical testing of different degrees of lipemia.

[0059] S104: Calculating the coefficient of variation of the biochemical theoretical mean and the third biochemical value to obtain a variation parameter.

[0060] In one embodiment, variation parameters of different degrees of lipemia are obtained based on the different degrees of lipemia;

[0061] Optionally, variation parameters of different degrees of hemolysis are obtained based on the different degrees of hemolysis;

[0062] Optionally, variation parameters of different degrees of jaundice are obtained based on the different degrees of jaundice.

[0063] In a specific embodiment, hemolysis (H), icteremia (I), and lipemia (L) are defined according to the following criteria: Figure 4 As shown, blood samples with hemolysis and icterus scores of 1+, 2+, and 3+ were prepared as spiked blood. Five biochemical tests were performed, and the average values were calculated. Seventy-five blood samples with essentially normal biochemical results were selected as background blood. This blood was mixed with the spiked blood in a 1:1 volume ratio, and biochemical parameters were retested. The calculated value (background blood result + spiked blood result) / 2 was used as the theoretical value. This was compared with the test results and the coefficient of variation was calculated.

[0064] In a specific embodiment, the results of calculating the coefficient of variation of blood samples with 1+, 2+, and 3+ lipemia are as follows: Figure 5 shown.

[0065] In one embodiment, one or more of the following biochemical index values defining the lipemia interval are obtained: <50 mmol / L, 50 mmol / L-100 mmol / L, 100 mmol / L-150 mmol / L, 150 mmol / L-200 mmol / L, >200 mmol / L, and the average of the biochemical index values in any interval (degree) is calculated to obtain the first biochemical value corresponding to the lipemia interval;

[0066] Calculate the biochemical index values of normal serum to obtain the second biochemical value;

[0067] The interval lipemia and normal serum are mixed and then tested for biochemical indicators to obtain the third biochemical value;

[0068] The mean of the first biochemical value and the second biochemical value of the interval is calculated to obtain the biochemical theoretical mean;

[0069] The biochemical theoretical mean and the third biochemical value are subjected to a coefficient of variation calculation to obtain a variation parameter.

[0070] In another embodiment, biochemical index values of lipidemia intervals of <50 mmol / L, 50 mmol / L-100 mmol / L, 100 mmol / L-150 mmol / L, 150 mmol / L-200 mmol / L, and >200 mmol / L are obtained, and the average of the biochemical index values in each interval is calculated to obtain the first biochemical value of lipidemia;

[0071] Calculate the biochemical index values of normal serum to obtain the second biochemical value;

[0072] The lipemia and normal serum are mixed and then tested for biochemical indicators to obtain the third biochemical value;

[0073] The first biochemical value and the second biochemical value are averaged to obtain the biochemical theoretical mean;

[0074] The biochemical theoretical mean and the third biochemical value are subjected to a coefficient of variation calculation to obtain a variation parameter.

[0075] In one embodiment, one or more of the following biochemical index values defining the hemolysis interval are obtained: <30 mmol / L, 30 mmol / L-100 mmol / L, 100 mmol / L-200 mmol / L, 200 mmol / L-500 mmol / L, and greater than 500 mmol / L. The biochemical index values in any interval (degree) are averaged to obtain a first biochemical value corresponding to the hemolysis interval.

[0076] Calculate the biochemical index values of normal serum to obtain the second biochemical value;

[0077] The interval hemolysis and normal serum are mixed and then tested for biochemical indicators to obtain the third biochemical value;

[0078] The mean of the first biochemical value and the second biochemical value of the interval is calculated to obtain the biochemical theoretical mean;

[0079] The coefficient of variation is calculated by calculating the biochemical theoretical mean and the third biochemical value to obtain the hemolysis variation parameter.

[0080] In another embodiment, biochemical index values in the hemolysis intervals of <30 mmol / L, 30 mmol / L-100 mmol / L, 100 mmol / L-200 mmol / L, 200 mmol / L-500 mmol / L, and greater than 500 mmol / L are obtained, and the average of the biochemical index values in each interval is calculated to obtain the first biochemical value of hemolysis;

[0081] Calculate the biochemical index values of normal serum to obtain the second biochemical value;

[0082] The hemolyzed serum and normal serum are mixed and then tested for biochemical indicators to obtain the third biochemical value;

[0083] The first biochemical value and the second biochemical value are averaged to obtain the biochemical theoretical mean;

[0084] The coefficient of variation is calculated by calculating the biochemical theoretical mean and the third biochemical value to obtain the hemolysis variation parameter.

[0085] In one embodiment, one or more of the following biochemical indicator values defining the jaundice interval are obtained: <2mmol / L, 2mmol / L-4mmol / L, 4mmol / L-10mmol / L, 10mmol / L-20mmol / L, >20mmol / L, and the average of the biochemical indicator values in any interval (degree) is calculated to obtain the first biochemical value corresponding to the jaundice interval;

[0086] Calculate the biochemical index values of normal serum to obtain the second biochemical value;

[0087] The jaundice serum and normal serum were mixed and then tested for biochemical indicators to obtain the third biochemical value;

[0088] The mean of the first biochemical value and the second biochemical value of the interval is calculated to obtain the biochemical theoretical mean;

[0089] The coefficient of variation is calculated by calculating the theoretical mean of the biochemical value and the third biochemical value to obtain the jaundice variation parameter.

[0090] In another embodiment, biochemical index values in the jaundice intervals of <2mmol / L, 2mmol / L-4mmol / L, 4mmol / L-10mmol / L, 10mmol / L-20mmol / L, and >20mmol / L are obtained, and the average of the biochemical index values in each interval is calculated to obtain the first biochemical value of jaundice;

[0091] Calculate the biochemical index values of normal serum to obtain the second biochemical value;

[0092] The icteric and normal serum were mixed and then tested for biochemical indicators to obtain the third biochemical value;

[0093] The first biochemical value and the second biochemical value are averaged to obtain the biochemical theoretical mean;

[0094] The coefficient of variation is calculated by calculating the theoretical mean of the biochemical value and the third biochemical value to obtain the jaundice variation parameter.

[0095] The disclosed embodiments of the present invention further provide a computer program product or system, including a computer program, which implements the above method steps when executed by a processor.

[0096] The embodiment of the present invention provides a method for predicting changes in biochemical indicators based on lipemia, hemolysis, and jaundice, comprising:

[0097] Obtaining lipid serum samples from subjects and performing biochemical tests to obtain biochemical values;

[0098] Obtaining variation parameters, wherein the variation parameters are obtained according to the variation parameter calculation method of the above-mentioned biochemical indicators of lipemia, hemolysis, and jaundice;

[0099] The variation change value of the biochemical value of the lipemia serum sample is calculated based on the variation parameter.

[0100] In one embodiment, the method further includes determining a degree of lipemia, performing a degree of lipemia determination on the lipemia serum sample to obtain a lipemia degree; and obtaining a coefficient of variation of the lipemia degree.

[0101] In one embodiment, the method further includes variation correction, performing variation correction based on the biochemical value and the variation change value to obtain the biochemical value before variation.

[0102] In one embodiment, the method of detecting biochemical indicators using mixed blood samples can more accurately and effectively determine the impact of hemolysis and icteric blood on biochemical indicators and calculate the degree of change.

[0103] In one embodiment, when the serum is a hemolyzed sample, the calculated biochemical indicators include one or more of the following: alanine aminotransferase, aspartate aminotransferase, total protein, albumin, total bilirubin, direct bilirubin, lactate dehydrogenase, γ-glutamyl transpeptidase, alkaline phosphatase, blood glucose, urea nitrogen, uric acid, creatinine, glomerular filtration rate, potassium, sodium, chloride, total calcium, serum magnesium, inorganic phosphorus, serum iron, total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, homocysteine, and prealbumin.

[0104] Figure 2 The schematic diagram of the variation parameter calculation system for lipemia, hemolysis, and jaundice biochemical indicators provided by the embodiment of the present invention specifically includes:

[0105] Acquisition unit: acquiring lipemia serum sample set and normal serum sample set;

[0106] A first detection unit: performing biochemical index detection on the lipemia serum sample set and the normal serum sample set to obtain a first biochemical value and a second biochemical value;

[0107] The second detection unit is configured to mix the lipemia serum sample set with the normal serum sample set to obtain a mixed serum sample set, and perform biochemical index detection on the mixed serum sample set to obtain a third biochemical value;

[0108] The first calculation unit is used to calculate the mean of the first biochemical value and the second biochemical value to obtain a biochemical theoretical mean;

[0109] The second calculation unit is used to calculate the coefficient of variation of the biochemical theoretical mean and the third biochemical value to obtain a variation parameter.

[0110] Figure 3 A schematic diagram of a computer device provided by an embodiment of the present invention specifically includes:

[0111] A memory and a processor; the memory is used to store program instructions; the processor is used to call program instructions, and when the program instructions are executed, the above-mentioned method for calculating the variation parameters of the biochemical indicators of lipemia, hemolysis, and jaundice is executed, or the above-mentioned method for predicting changes in biochemical indicators based on lipemia, hemolysis, and jaundice is executed.

[0112] The disclosed embodiments of the present invention also provide a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it performs the above-mentioned method for calculating the variation parameters of the biochemical indicators of lipemia, hemolysis, and jaundice, or executes the above-mentioned method for predicting changes in biochemical indicators based on lipemia, hemolysis, and jaundice.

[0113] The validation results of this validation example demonstrate that assigning inherent weights to indications can improve the performance of the present method compared to the default settings. Those skilled in the art will readily appreciate that, for ease of description and brevity, the specific operating processes of the systems, devices, and units described above can be referenced to the corresponding processes in the aforementioned method embodiments and will not be further elaborated upon here. It should be understood that the disclosed systems, devices, and methods can be implemented in other ways within the several embodiments provided herein. For example, the device embodiments described above are merely illustrative. For example, the division of units described is merely a logical functional division. In actual implementation, other divisions may be employed, such as combining or integrating multiple units or components into another system, or omitting or disabling certain features. Furthermore, the coupling, direct coupling, or communication connection shown or discussed may be through interfaces, indirect coupling, or communication connection between devices or units, and may be electrical, mechanical, or other forms. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the units may be selected to achieve the objectives of the present embodiment as needed. In addition, the functional units in the various embodiments of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware or in the form of software functional units. Those skilled in the art will understand that all or part of the steps in the various methods of the above-mentioned embodiments may be completed by instructing the relevant hardware through a program, and the program may be stored in a computer-readable storage medium, which may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0114] Those skilled in the art will understand that all or part of the steps in the above-mentioned embodiment method can be implemented by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium. The above-mentioned medium storage can be a read-only memory, a disk or an optical disk, etc.

[0115] The above is a detailed introduction to a computer device provided by the present invention. For those skilled in the art, according to the concept of the embodiments of the present invention, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for calculating variation parameters of biochemical indicators of lipemia, hemolysis, and jaundice, characterized in that: include: Obtaining lipemic serum sample sets and normal serum sample sets; Performing biochemical index detection on the lipemia serum sample set and the normal serum sample set to obtain a first biochemical value and a second biochemical value; Mixing the lipemia serum sample set with the normal serum sample set to obtain a mixed serum sample set, and performing biochemical index detection on the mixed serum sample set to obtain a third biochemical value; The first biochemical value and the second biochemical value are averaged to obtain the biochemical theoretical mean; The coefficient of variation is calculated by calculating the biochemical theoretical mean and the third biochemical value to obtain a variation parameter.

2. The method for calculating variation parameters of biochemical indicators of lipemia, hemolysis and jaundice according to claim 1, characterized in that: The lipemic serum sample includes any one or more of the following: lipemia, hemolysis, and icterus; Optionally, the lipemic serum sample and the normal serum sample are mixed in equal proportions; Optionally, the lipemic serum sample comprises different degrees of lipemia.

3. The method for calculating variation parameters of biochemical indicators of lipemia, hemolysis and jaundice according to claim 2, characterized in that: The different degrees of lipemia include any one or more of the following: <50mmol / L, 50mmol / L-100 mmol / L, 100mmol / L-150mmol / L, 150mmol / L-200mmol / L, >200mmol / L; Optionally, the lipemic serum includes varying degrees of hemolysis; Optionally, the different degrees of hemolysis include any one or more of the following: <30mmol / L, 30mmol / L-100mmol / L, 100mmol / L-200mmol / L, 200mmol / L-500mmol / L, greater than 500mmol / L; Optionally, the lipemic serum includes varying degrees of jaundice; Optionally, the different degrees of jaundice include any one or more of the following: <2mmol / L, 2mmol / L-4mmol / L, 4mmol / L-10mmol / L, 10mmol / L-20mmol / L, >20mmol / L.

4. The method for calculating variation parameters of biochemical indicators of lipemia, hemolysis and jaundice according to claim 2, characterized in that: Obtaining variation parameters of different degrees of lipemia based on the different degrees of lipemia; Optionally, variation parameters of different degrees of hemolysis are obtained based on the different degrees of hemolysis; Optionally, variation parameters of different degrees of jaundice are obtained based on the different degrees of jaundice.

5. The method for calculating variation parameters of biochemical indicators of lipemia, hemolysis and jaundice according to claim 1, characterized in that: The first biochemical value is the average of the biochemical values of the lipemia serum sample set after N tests, where N is a natural number greater than or equal to 5; Optionally, the N tests are tests of N lipemia serum samples with the same lipemia level; Optionally, the first biochemical value is replaced by an average of biochemical values obtained by biochemical testing of different degrees of lipemia.

6. A method for predicting changes in biochemical indicators based on lipemia, hemolysis, and icterus, characterized in that: include: Obtaining lipid serum samples from subjects and performing biochemical tests to obtain biochemical values; Obtaining variation parameters, wherein the variation parameters are obtained by the variation parameter calculation method of the lipemia, hemolysis, and jaundice biochemical indicators according to claims 1-5; The variation change value of the biochemical value of the lipemia serum sample is calculated based on the variation parameter.

7. The method for predicting changes in biochemical indicators based on lipemia, hemolysis, and icterus according to claim 6, characterized in that: The method further includes determining the degree of lipemia, performing a degree of lipemia determination on the lipemia serum sample to obtain the lipemia degree; and obtaining the coefficient of variation of the lipemia degree; Optionally, the method further includes variation correction, performing variation correction based on the biochemical value and the variation change value to obtain the biochemical value before variation.

8. A computer program product comprising a computer program or instructions, characterized in that: The computer program or instructions are executed by the processor to implement the method for calculating the variation parameters of the biochemical indicators of lipemia, hemolysis, and jaundice as described in any one of claims 1-5; or to implement the method for predicting changes in biochemical indicators based on lipemia, hemolysis, and jaundice as described in any one of claims 6-7.

9. A computer device comprising a memory, a processor, and a computer program or instruction stored in the memory, wherein: The computer program or instructions are executed by the processor to implement the method for calculating the variation parameters of the biochemical indicators of lipemia, hemolysis, and jaundice as described in any one of claims 1-5; or to implement the method for predicting changes in biochemical indicators based on lipemia, hemolysis, and jaundice as described in any one of claims 6-7.

10. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: The computer program or instructions are executed by the processor to implement the method for calculating the variation parameters of the biochemical indicators of lipemia, hemolysis, and jaundice as described in any one of claims 1-5; or to implement the method for predicting changes in biochemical indicators based on lipemia, hemolysis, and jaundice as described in any one of claims 6-7.

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