A method for determining a mushroom toxin in urine

Abstract

The application discloses a method for determining mushroom toxins in urine, and classifies mushroom toxins according to the degree of the risk of causing organ failure of a user, and gives priority to the mushroom toxins which are easy to cause organ damage of the user, so that in the case that the user intakes the mushroom toxins which cause organ damage, even if the user intakes the mushroom toxins which have a small risk of causing organ damage, the risk will sharply increase. In addition, the process in the specification also considers the clinical manifestations after the user is poisoned and the personal physiological conditions of the user, so as to restore the condition of the mushroom toxins intaken by the user as much as possible, and reduce the misjudgment caused by the metabolism of the user to the poisoning condition.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of emergency detection, and in particular to a method for determining mushroom toxin in urine. BACKGROUND

[0002] With the development of science and technology, people's research on mushroom toxin is also deepening. At present, there are about 500 kinds of mushroom toxins identified in China. Under normal circumstances, the main way of human body to ingest mushroom toxin is oral. In some cases, the toxicity of some mushroom toxins will be alleviated after high-temperature cooking for a period of time, and the toxic effect on the human body will be limited. In other cases, even if the mushrooms are fully cooked, the toxins contained in them are difficult to be digested by the human body, and thus cause poisoning reactions.

[0003] In the case of mushroom toxin poisoning, if the content of mushroom toxin in the body of the poisoned person can be effectively known, it will be conducive to the development of treatment plan, and thus improve the cure rate. SUMMARY

[0004] The embodiment of the present application provides a method for determining mushroom toxin in urine to at least partially solve the above technical problems.

[0005] The embodiment of the present application adopts the following technical scheme:

[0006] In a first aspect, the embodiment of the present application provides a method for determining mushroom toxin in urine, which comprises:

[0007] Obtaining raw data representing the content of mushroom toxin in urine, wherein the raw data is obtained by sampling the urine of a user and detecting by a detection instrument;

[0008] If the content of the first type of mushroom toxin represented in the raw data exceeds a first threshold value, all mushroom toxins with a content of zero represented in the raw data are regarded as target toxins; wherein the first threshold value is a value in a preset threshold management table which is positively correlated with the weight of the user and does not exceed the upper limit of the toxin content that can be detected from the time when the user shows poisoning symptoms to the current time; the first type of mushroom toxin includes at least one of the following: acute liver damage type, hemolysis type, acute renal failure type;

[0009] Inputting the weight of the user, the first duration from the time when the user shows poisoning symptoms to the current time, the second duration from the time when the user shows poisoning symptoms to the time when the urine sample of the user is collected, and the body temperature fluctuation curve of the user after showing poisoning symptoms into a correction parameter prediction model; wherein the correction parameter prediction model is used to output correction parameters, and the correction parameter prediction model is an artificial intelligence model obtained by supervised training;

[0010] The correction parameter output by the correction parameter prediction model is used to correct the content of the target toxin represented in the original data, so as to obtain target data.

[0011] In an optional embodiment of the present specification, the method further comprises:

[0012] If the content of the first type of mushroom toxin represented in the original data does not exceed the first threshold value and is greater than zero, the first type of mushroom toxin represented in the original data is taken as the target toxin.

[0013] In an optional embodiment of the present specification, the method further comprises:

[0014] If the content of the first type of mushroom toxin represented in the original data is zero, the original data is taken as the target data.

[0015] In an optional embodiment of the present specification, the mushroom toxins other than the first type of mushroom toxin further comprise at least one of:

[0016] Gastroenteritis type, neuropsychiatric type, photosensitive dermatitis type, and rhabdomyolysis type.

[0017] In an optional embodiment of the present specification, the correction parameter prediction model is obtained by the following method:

[0018] Obtaining historical data collected from samples in history;

[0019] The historical data is divided into first data and second data, wherein the first data is historical data collected from samples with organ failure, and the second data is historical data collected from samples without organ failure;

[0020] The first parameter is determined as the label corresponding to the first data, and the second parameter is determined as the label corresponding to the second data, wherein the value of the first parameter is greater than 1, and the value of the second parameter is less than 1 and greater than zero;

[0021] The historical data and their respective labels are used to train the to-be-trained model, so as to obtain a correction parameter prediction model.

[0022] In an optional embodiment of the present specification, the threshold management table is obtained by the following steps:

[0023] Obtaining historical data collected from samples in history;

[0024] According to the content of the first type of mushroom toxin represented in the historical data, the historical data is clustered, so that the historical data belonging to any one of the obtained classes contains the content of at least one type of mushroom toxin and the weight of the user when the historical data is collected;

[0025] For each type of first type of mushroom toxin, the weight of the user contained in each class is fitted to obtain the corresponding relationship between the content of the first type of mushroom toxin and the fitted weight of the user;

[0026] The corresponding relationship is recorded as the threshold management table.

[0027] In an optional embodiment of the present application, the detection instrument is a gas chromatography-mass spectrometer; or, a high performance liquid chromatography-mass spectrometer.

[0028] In a second aspect, the embodiments of the present application also provide a device for measuring the content of mushroom toxin in urine, which is used to implement the method of any one of the first aspect.

[0029] In a third aspect, the embodiments of the present application also provide an electronic device, which comprises:

[0030] A processor; and

[0031] A memory arranged to store computer executable instructions, which when executed cause the processor to perform the method of any one of the first aspect.

[0032] In a fourth aspect, the embodiments of the present application also provide a computer readable storage medium, which stores one or more programs, which when executed by an electronic device comprising a plurality of application programs, cause the electronic device to perform the method of the first aspect.

[0033] The above at least one technical scheme adopted by the embodiments of the present application can achieve the following beneficial effects:

[0034] Different kinds of mushroom toxins have different degrees of harm to the human body. For some mushroom toxins that cause organ failure, the harm should be fully recognized, and the user (patient) should be properly treated. However, the human body has a certain metabolic capacity for mushroom toxins. When the user shows certain poisoning symptoms, it means that a part of the mushroom toxin has been metabolized by the user, which makes it difficult to know the real poisoning situation of the user. In addition, different users have different metabolic capacities for different mushroom toxins, which further exacerbates the accuracy of the judgment of the poisoning situation. Through the technical solutions in the specification, the mushroom toxins are classified according to the degree of risk of causing organ failure to the user. Those mushroom toxins that are easy to cause organ damage to the user are given priority consideration. In the case of the user ingesting mushroom toxins that cause organ damage, even if the user has also ingested mushroom toxins that have a small risk of causing organ damage, the risk will increase sharply. In addition, the process in the specification also considers the clinical manifestations of the user after poisoning and the personal physiological conditions of the user, and tries to restore the situation of the mushroom toxins ingested by the user, and reduces the misjudgment of the poisoning situation caused by the user's own metabolism. BRIEF DESCRIPTION OF DRAWINGS

[0035] The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and serve to explain the principles of the application, and do not constitute improper limitations on the application. In the drawings:

[0036] Figure 1 A process schematic diagram of a method for determining mushroom toxins in urine according to an embodiment of the specification;

[0037] Figure 2 A structure schematic diagram of a device for determining mushroom toxins in urine according to an embodiment of the specification;

[0038] Figure 3 A structure schematic diagram of an electronic device according to an embodiment of the specification. DETAILED DESCRIPTION

[0039] The application will be described in further detail below with specific reference to the drawings. Like elements in different embodiments are denoted by like reference numerals. In the following description, numerous specific details are described to provide a thorough understanding of the application. However, it will be apparent to one skilled in the art that the application can be practiced without some or all of these specific details. In other instances, well known process steps have not been described in detail in order not to unnecessarily obscure the application. In the following description, numerous specific details are described to provide a thorough understanding of the application. However, it will be apparent to one skilled in the art that the application can be practiced without some or all of these specific details. In other instances, well known process steps have not been described in detail in order not to unnecessarily obscure the application.

[0040] In addition, the features, operations or characteristics described in the specification can be combined in any appropriate manner to form various embodiments. Meanwhile, the steps or actions in the method description can also be sequentially adjusted or adjusted in a manner that can be obviously seen by those skilled in the art. Therefore, the various sequences in the specification and drawings are only for the purpose of clearly describing a certain embodiment, and do not mean that the sequence is necessary, unless otherwise stated that a certain sequence must be followed.

[0041] The serial numbers of the components in this paper, such as "second", "second", etc., are only used to distinguish the described objects, and do not have any sequence or technical meaning. The "connection" and "coupling" in this application include direct and indirect connections (couplings) unless otherwise specified.

[0042] The technical solutions provided by the embodiments of the application will be described in detail below with reference to the drawings.

[0043] In the related art, there are many ways to detect the content of mushroom toxin ingested by the user, such as gas chromatography. China has also introduced relevant mushroom toxin detection standards such as DB22 / T 3049-2019 to determine the content of mushroom toxin in the user's blood and urine. However, whether the mushroom toxin detection is based on blood or urine, the content of mushroom toxin detected is the content of mushroom toxin that has been metabolized by the human body to a certain extent. As for how much mushroom toxin the user has ingested, how much mushroom toxin has been metabolized, and how much mushroom toxin has not been metabolized, it is difficult to accurately measure. Different users have different metabolic abilities, which also makes it difficult to accurately measure the content of mushroom toxin even for users with the same mushroom toxin intake due to individual functional differences. This makes it difficult to accurately know the poisoning situation of the user.

[0044] Therefore, the present specification provides a method for determining mushroom toxin in urine, such as Figure 1As shown, the method for determining the content of amatoxin in urine in the specification comprises the following steps:

[0045] S100: obtaining raw data representing the content of amatoxin in urine.

[0046] The raw data in the specification is obtained by sampling the urine of the user and detecting the instrument. In an optional embodiment of the specification, the sampling and detection process of the urine sample can be based on the standard DB22 / T3049-2019 mentioned above.

[0047] In other optional embodiments of the specification, the raw data can also be obtained according to other standards (such as industry standards, company standards), as long as the correspondence between the raw data, the threshold management table, and the correction parameter prediction model is met.

[0048] It should be noted that the data involved in the method in the specification includes not only the content of amatoxin detected (such as the raw data in the present step and the historical data to be involved in the subsequent steps), but also the weight, use

[0049] The length of time from when the user showed symptoms of poisoning to the present time (first length of time), the length of time from when the user showed symptoms of poisoning to when the urine sample of the user was collected (second length of time), and the body temperature fluctuation curve of the user after showing symptoms of poisoning.

[0050] As for the specific symptoms of poisoning, it is subject to the actual clinical manifestations. For example, according to the blood indicators of the user to determine whether the user has symptoms of poisoning, according to whether the user has hallucinations to determine whether the user has symptoms of poisoning

[0051] and the like. Since the symptoms of poisoning have a certain inaccuracy in determination, the specification also takes into account that after the user is poisoned by amatoxin, the user's body function will be more or less disturbed, and the most intuitive quantitative performance is the abnormal body temperature. The specification includes the body temperature fluctuation of the user in the investigation range, which can be beneficial to the verification between the body temperature and the intuitive judgment of the symptoms of poisoning.

[0052] In an optional embodiment of the specification, the detection instrument is a gas chromatograph-mass spectrometer. In another optional embodiment of the specification, the high-performance liquid chromatograph-mass spectrometer.

[0053] S102: If the content of the first type of amatoxin represented in the raw data exceeds the first threshold value,

[0054] all amatoxins with a content greater than zero represented in the raw data are regarded as target toxins.

[0055] When the content of the first type of mushroom toxin exceeds the first threshold value, it indicates that the user has ingested a certain amount of mushroom toxin that can cause organ failure. Generally, the type of mushroom toxin ingested by the user can be

[0056] Not uniquely, this can be caused by the user eating multiple toxic mushrooms at the same time, or it can be caused by the fact that a certain type of toxic mushroom carries multiple types of mushroom toxins. At this time, once the user faces the risk of organ failure, the user's body will be affected to some extent in metabolizing all types of mushroom toxins, that is, at this time, the user's metabolism of all types of mushroom toxins will cause the content of the mushroom toxin in the original data to deviate from the normal value. To comprehensively analyze the user's mushroom toxin intake, all detected mushroom toxins with a content of zero are treated as target toxins, and subsequent means are used to correct the content of the target toxins.

[0057] The first threshold value in the specification is obtained by querying a preset threshold value management table. The preset threshold value management table maintains a correspondence between the user's weight and the threshold value, and the data in the preset threshold value management table is obtained based on historical data analysis and arrangement. The historical data can be data collected from users received in the past. In related technologies, data collected from user Zhang San is only used to treat Zhang San, but in the present specification, data collected from user Zhang San is used not only to treat Zhang San but also to treat other users besides Zhang San. On the one hand, it makes full use of data collected from a certain patient, and on the other hand, it facilitates the formation of a data system for efficient measures for users through horizontal comparison among users.

[0058] The first threshold value in the specification is a value in the preset threshold value management table that is positively correlated with the weight of the user and does not exceed the upper limit of the toxin content that can be detected from the time the user shows symptoms of poisoning to the present time.

[0059] In an optional embodiment of the present specification, the threshold value management table is obtained by the following steps: obtaining historical data collected from samples in the past; clustering the historical data according to the content of the first type of mushroom toxin represented in the historical data, so that the historical data belonging to any one class contains at least one content of the first type of mushroom toxin and the weight of the user when the historical data is collected; for each type of first type of mushroom toxin, fitting the weight of the user contained in each class to obtain the corresponding relationship between the content of the first type of mushroom toxin and the fitted weight of the user; record the corresponding relationship as the threshold value management table.

[0060] In another alternative embodiment of the present specification, the threshold management table can also be obtained by summarizing the working experience of each practitioner (e.g. expert) based on the detection of each bit.

[0061] The aforementioned "value of the upper limit of the toxin content that can be detected by the current time when the user shows symptoms of poisoning" is obtained from the experience of each expert.

[0062] The first type of mushroom toxin in the present specification includes at least one of the following: acute liver damage type (acute liver damage type mushroom poisoning has a latent period of 6-30 hours, and the patient first shows abdominal pain, diarrhea or vomiting

[0063] and other gastrointestinal discomfort symptoms in the early stage of the case. After the gastrointestinal symptoms improve, there is a "false recovery period" of 1-2 days, and then obvious liver function damage occurs. A small number of patients can have multiple organ damage such as heart and kidney. Severe cases can die due to fulminant

[0064] hepatic failure and / or respiratory and circulatory failure. This type has the highest mortality rate among mushroom poisoning in China. The mushroom species that cause this type of poisoning mainly include some highly toxic species of the genus Amanita, and some species of the genera Volvariella and Gomphidius. The common deadly white amanita belongs to this category.), hemolytic type (hemolytic

[0065] type mushroom poisoning has a latent period of 30 minutes to 3 hours, and shows symptoms such as nausea, vomiting, diarrhea, hemoglobinuria, anemia, etc. Severe cases can lead to complications such as acute renal failure, shock, acute respiratory failure,

[0066] which can be fatal), acute renal failure type (acute renal failure type mushroom poisoning is similar to acute liver damage type poisoning, but its main target organ is the kidney, and shows oliguria or anuria, and the damage to the kidney function is more severe than the damage to the liver function). In addition to the first type of mushroom toxin, the mushroom toxin also includes at least one of the following: gastrointestinal inflammation type (gastrointestinal

[0067] inflammatory type mushroom poisoning accounts for the majority of mushroom poisoning cases, and has a latent period of 10 minutes to 2 hours, mainly with severe nausea, vomiting, abdominal pain, diarrhea and other gastrointestinal symptoms, and the prognosis is good, but severe diarrhea can easily lead to

[0068] dehydration, electrolyte imbalance, shock, coma, and even death.), neuro-psychiatric type (neuro-psychiatric type mushroom poisoning also accounts for a large proportion of mushroom poisoning events, and has a latent period of about 10 minutes to 6 hours, mainly with symptoms such as excitement, mania, visual hallucinations, auditory hallucinations and other mental symptoms, and can also be accompanied by abdominal pain, diarrhea or vomiting

[0069] Nausea and other digestive symptoms, and pupil constriction, excessive sweating, increased salivation, lacrimation, lethargy, and even coma, such poisoning generally has a good prognosis), photosensitive dermatitis type (photosensitive dermatitis type mushroom poisoning has a latent period of 24-48 hours, and is manifested as skin redness, blisters, and symptoms that worsen after sunlight exposure, the toxic component may be a porphyrin photosensitive substance, and generally has a good prognosis), rhabdomyolysis type (rhabdomyolysis type mushroom poisoning has a latent period of 15 minutes to 2 hours, and is manifested as nausea, vomiting, diarrhea, abdominal pain and other digestive symptoms in the early stage, 6-12 hours later, soy sauce colored urine, muscle pain, limb weakness and other rhabdomyolysis symptoms appear, severe cases can lead to multiple organ failure, and even death).

[0070] S104: input the weight of the user, a first time length from when the user shows symptoms of poisoning to the current time, a second time length from when the user shows symptoms of poisoning to when the urine sample of the user is collected, and a body temperature fluctuation curve of the user after showing symptoms of poisoning into the correction parameter prediction model.

[0071] The correction parameter prediction model in the specification is used to output a correction parameter, and the correction parameter prediction model is an artificial intelligence model obtained through supervised training. There are many kinds of artificial intelligence models that can be used as the correction parameter prediction model in the specification in the related art, which will not be described here.

[0072] The model that can be used for classification in the related art can be used as the correction parameter prediction model in the specification after reasonable training process, and under the condition that the condition is allowed. In an optional embodiment of the specification, the correction parameter prediction model is obtained by the following method: obtaining historical data collected for samples in history. The historical data is divided into first data and second data, wherein the first data is historical data collected for samples showing organ failure phenomenon, and the second data is historical data collected for samples not showing organ failure phenomenon. The first parameter is determined as the label corresponding to the first data, and the second parameter is determined as the label corresponding to the second data, wherein the value of the first parameter is greater than 1, and the value of the second parameter is less than 1 and greater than zero. The historical data and their respective labels are used to train the to-be-trained model until the model converges (the convergence condition can be preset according to actual needs), and the correction parameter prediction model is obtained.

[0073] In an optional embodiment of the specification, the correction parameter prediction model will obtain an output for each input, and the output is suitable for all target toxins corresponding to the current input.

[0074] In another optional embodiment of this specification, each time input is received, the correction parameter prediction model will obtain different outputs for each target toxin (the values ​​of the different outputs can be at least partially the same or completely different). In subsequent steps, when the original data is corrected using correction parameters, a pre-made corresponding correction parameter is used to correct each target toxin.

[0075] To obtain this correction parameter prediction model that outputs correction parameters for different target toxins, in an optional embodiment, the first parameter is an array containing labels with larger values ​​and labels with smaller values. The labels with larger values ​​are used as the labels corresponding to the first type of mushroom toxins in the first data, and the labels with smaller values ​​are used as the labels corresponding to non-first type mushroom toxins in the first data, so as to appropriately increase the attention to the first type of mushroom toxins.

[0076] S106: Using the correction parameters output by the correction parameter prediction model, the content of the target toxin shown in the original data is corrected to obtain the target data.

[0077] The goal of correcting the original data using a correction parameter is that, when the correction parameter is greater than 1,

[0078] The values ​​of the corresponding raw data are appropriately amplified, and when the correction parameter is less than 1, the values ​​of the raw data corresponding to 5 are appropriately reduced. The target data obtained through this step can objectively reflect the content of mushroom toxins in the user's urine after excluding individual user differences and the user's metabolism of mushroom toxins to a certain extent. Therefore, the method in this manual can objectively reflect the user's intake of mushroom toxins and ensure that the data corresponding to Class I mushroom toxins receives sufficient attention in the obtained target data.

[0079] In other optional embodiments of this specification, if the content of the first type of mushroom toxin represented in the original data does not exceed a first threshold and is greater than zero, then the first type of mushroom toxin represented in the original data is taken as the target toxin, while non-first type mushroom toxins are not taken as target toxins, and the original data corresponding to non-first type mushroom toxins are not corrected. This embodiment, on the one hand, addresses the first type of mushroom toxin that poses a greater risk.

[0080] The content of mushroom toxins was corrected, and the content of non-Class I mushroom toxins in the original data was also retained, so that Class I mushroom toxins and non-Class I mushroom toxins can be effectively distinguished.

[0081] Furthermore, if the content of the first type of mushroom toxin shown in the original data is zero, the original data is directly used as the target data without correction.

[0082] Based on the same idea, the embodiments of the present specification also provide a determination device of mushroom toxin in urine corresponding to Figure 1 a part of the process shown in the figure.

[0083] 0As Figure 2 shown, the determination device of mushroom toxin in urine can include one or more of the following modules

[0084] :

[0085] The original data acquisition module 200 is configured to acquire original data representing the content of mushroom toxin in urine, wherein the original data is obtained by sampling the urine of a user and detecting by an instrument;

[0086] 5The judgment module 202 is configured to: if the content of the first type of mushroom toxin represented in the original data exceeds the first threshold value, all mushroom toxins with non-zero content represented in the original data are taken as target toxins; wherein the first threshold value is a value in the preset threshold management table that is positively correlated with the weight of the user and does not exceed the upper limit of the toxin content that can be detected from the time when the user shows symptoms of poisoning to the current time; the first type of mushroom toxin includes at least one of the following: acute liver damage type, hemolysis type, acute renal failure type;

[0087] The input module 204 is configured to input the weight of the user, the first time length from the time when the user shows symptoms of poisoning to the current time, the second time length from the time when the user shows symptoms of poisoning to the time when the user's urine sample is collected, and the body temperature fluctuation curve of the user after showing symptoms of poisoning, into a correction parameter prediction model; wherein the correction parameter prediction model is used to output correction parameters, and the correction parameter prediction model is an artificial intelligence model obtained by supervised training;

[0088] The correction module 206 is configured to correct the content of the target toxin represented in the original data by using the correction parameters output by the correction parameter prediction model to obtain target data.

[0089] In an optional embodiment of the present specification, the judgment module 202 is further configured to: if the content of the first type of mushroom toxin represented in the original data does not exceed the first threshold value and is greater than zero, the first type of mushroom toxin represented in the original data is taken as the target toxin.

[0090] In an optional embodiment of the present specification, the judgment module 202 is further configured to: if the content of the first type of mushroom toxin represented in the original data is zero, the original data is taken as the target data.

[0091] In an alternative embodiment of the present specification, the mushroom toxins other than the first type of mushroom toxin further comprise at least one of the following:

[0092] Gastroenteritis type, neuropsychiatric type, photosensitive dermatitis type, rhabdomyolysis type.

[0093] In an alternative embodiment of the present specification, the device further comprises a training module configured to: obtain historical data collected in history for samples;

[0094] The historical data is divided into first data and second data, wherein the first data is historical data collected for samples that have organ failure phenomenon, and the second data is historical data collected for samples that have no organ failure phenomenon;

[0095] The first parameter is determined as the label corresponding to the first data, and the second parameter is determined as the label corresponding to the second data, wherein the value of the first parameter is greater than 1, and the value of the second parameter is less than 1 and greater than zero;

[0096] The historical data and their respective labels are used to train the model to be trained to obtain a correction parameter prediction model.

[0097] In an alternative embodiment of the present specification, the device further comprises a threshold management table management module configured to: obtain historical data collected in history for samples;

[0098] According to the content of the first type of mushroom toxin represented in the historical data, the historical data is clustered, so that the historical data belonging to any one class contains the content of at least one first type of mushroom toxin and the weight of the user collected at the time of collecting the historical data;

[0099] For each type of first type of mushroom toxin, the weight of the user contained in each class is fitted to obtain the corresponding relationship between the content of the first type of mushroom toxin and the fitted weight of the user;

[0100] The corresponding relationship is recorded as the threshold management table.

[0101] In an alternative embodiment of the present specification, the detection instrument is a gas chromatography-mass spectrometry; or, high performance liquid chromatography-mass spectrometry.

[0102] Figure 3 It is a structural schematic diagram of an electronic device according to an embodiment of the present application. Please refer to Figure 3At the hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, a memory. The memory can include a memory such as a random-access memory (RAM), and can further include a non-volatile memory such as at least one disk memory. Of course, the electronic device can further include other hardware required by the business.

[0103] The processor, the network interface, and the memory can be connected to each other through the internal bus, which can be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one bidirectional arrow is used in the figure, but it does not mean that there is only one bus or only one type of bus.

[0104] The memory is used to store programs. Specifically, the program can include program code including computer operation instructions. The memory can include a memory and a non-volatile memory, and provide instructions and data to the processor.

[0105] The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs, and forms a urine mushroom toxin determination device at the logical level. The processor executes the program stored in the memory, and is specifically used to execute any one of the above urine mushroom toxin determination methods.

[0106] The above as claimed in the present application Figure 1The method for determining mushroom toxin in urine disclosed by the embodiment can be applied to a processor or implemented by the processor. The processor can be an integrated circuit chip with signal processing capability. In the implementation, the steps of the method can be completed by integrated logic circuits in the processor or instructions in the form of software. The processor can be a general processor, including a central processing unit (CPU), a network processor (NP), etc. It can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or any conventional processor. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as a hardware code processor for execution, or a combination of hardware and software modules in the code processor for execution. The software module can be located in a random access memory, a flash memory, a read-only memory, a programmable read-only memory, an electrically erasable programmable memory, a register or other mature storage medium in the art. The storage medium is located in the memory, and the processor reads the information in the memory and combines the hardware to complete the steps of the method.

[0107] The electronic device can further execute Figure 1 a method for determining mushroom toxin in urine, and implement Figure 1 the functions of the embodiment, which will not be described here in detail.

[0108] The embodiment of the present application further proposes a computer readable storage medium storing one or more programs, the one or more programs including instructions that, when executed by an electronic device including a plurality of applications, can cause the electronic device to execute Figure 1 the method executed by the device for determining mushroom toxin in urine in the embodiment, and specifically for executing any of the foregoing methods for determining mushroom toxin in urine.

[0109] Those skilled in the art will appreciate that embodiments of the application can be readily used as a method, apparatus, or computer program product. Accordingly, the application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects all generally referred to herein as a "circuit" or "module." Furthermore, the application can take the form of a computer program product on one or more computer readable storage media (including, but not limited to, disk memory, CD-ROMs, optical storage devices, etc.) embodying computer readable program code designed to carry out the steps of the application on one or more computers.

[0110] The present application is described in reference to the drawings, which are as follows.

[0111] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks. Figure 1 The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks. Figure 1 The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks.

[0112] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks. Figure 1 The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks. Figure 1 The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks.

[0113] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks. Figure 1 The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks. ​ The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart or flowsheet block or blocks.

[0114] In one typical configuration, the computing device includes one or more processors (CPU's), input / output interfaces, network interfaces, and memory.

[0115] 5Memory can include non-persistent memory such as volatile random access memory (RAM) and / or non-volatile memory such as read only memory (ROM) or flash memory. Memory is an example of computer readable media.

[0116] Computer readable media includes permanent and non-permanent, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital versatile discs (DVDs) or other optical storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer readable media does not include transitory media such as modulated data signals and carrier waves.

[0117] It should also be noted that the terms "comprising," "including," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element preceded by "comprises a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that includes the recited element.

[0118] Those skilled in the art will appreciate that embodiments of the present application can be devised for a method, a system, or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer readable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0119] The embodiments of the present application described above are intended to be merely exemplary and those skilled in the art will recognize various modifications which can be made to the application. The intended scope of the application is set forth in the claims that follow.

Claims

1. A method for determining mushroom toxins in urine, characterized in that, The method includes: Obtain raw data representing the content of mushroom toxins in urine, wherein the raw data is obtained by sampling the user's urine and detecting it with a testing instrument; If the content of the first type of mushroom toxin shown in the original data exceeds a first threshold, then all mushroom toxins with a content that is not zero shown in the original data are taken as target toxins; wherein, the first threshold is a value in a preset threshold management table that is positively correlated with the user's weight and does not exceed the upper limit of the toxin content that can be detected from the time the user shows symptoms of poisoning to the current moment; the first type of mushroom toxin includes at least one of the following: acute liver damage type, hemolytic type, and acute renal failure type; The user's weight, the first time elapsed from when the user exhibited poisoning symptoms to the current moment, the second time elapsed from when the user exhibited poisoning symptoms to when the user's urine sample was collected, and the user's body temperature fluctuation curve since exhibiting poisoning symptoms are input into the correction parameter prediction model; wherein, the correction parameter prediction model is used to output correction parameters, and the correction parameter prediction model is an artificial intelligence model obtained through supervised training; The content of the target toxin represented in the original data is corrected using the correction parameters output by the correction parameter prediction model to obtain the target data; If the content of the first type of mushroom toxin shown in the original data does not exceed the first threshold and is greater than zero, then the first type of mushroom toxin shown in the original data is taken as the target toxin. If the content of the first type of mushroom toxin shown in the original data is zero, then the original data shall be used as the target data; The correction parameter prediction model is trained using the following method: Obtain historical data on sample collection. The historical data is divided into first data and second data. The first data is historical data collected from samples that showed organ failure, and the second data is historical data collected from samples that did not show organ failure. The first parameter is determined as the label corresponding to the first data, and the second parameter is determined as the label corresponding to the second data, wherein the value of the first parameter is greater than 1, and the value of the second parameter is less than 1 and greater than zero; The historical data and their corresponding annotations are used to train the model to be trained, and a corrected parameter prediction model is obtained. The threshold management table is obtained through the following steps: Obtain historical data on sample collection. The historical data is clustered based on the content of the first type of mushroom toxins shown in the historical data, so that the historical data of any resulting class contains the content of at least one type of mushroom toxin, and includes the user's weight when the historical data was collected. For each type of Group 1 mushroom toxin, the weight of users included in each group is fitted to obtain the correspondence between the content of that type of Group 1 mushroom toxin and the fitted weight of the user. The corresponding relationship is recorded in the threshold management table.

2. The method as described in claim 1, characterized in that, In addition to the first type of mushroom toxins, mushroom toxins also include at least one of the following: Gastroenteritis type, neuropsychiatric type, photosensitive dermatitis type, rhabdomyolysis type.

3. The method as described in claim 1, characterized in that, The detection instrument is gas chromatography-mass spectrometry (GC-MS); or high performance liquid chromatography-mass spectrometry (HPLC-MS).

4. A device for determining mushroom toxins in urine, characterized in that, The device is used to determine mushroom toxins in urine, and the device is used to implement the method according to any one of claims 1 to 3.

5. An electronic device, comprising: processor; as well as A memory configured to store computer-executable instructions, which, when executed, cause the processor to perform the method of any one of claims 1 to 3.

6. A computer-readable storage medium storing one or more programs, which, when executed by an electronic device including a plurality of applications, cause the electronic device to perform the method of any one of claims 1 to 3.

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