Method for detecting the possibility of babesia infection and device therefor

Abstract

In a Babesia infection possibility detection method and device, a blood sample is pretreated to obtain a microscopic examination sample; a microscope magnification is set, the microscopic examination sample is photographed to obtain a microscopic examination sample image; an AI recognition algorithm is used in cooperation with a suspected Babesia characteristic data set to analyze the microscopic examination sample image, and suspected Babesia in the image is recognized; the content of the suspected Babesia is obtained, the content is compared with a threshold value, and a suspected Babesia infection risk assessment value or a risk level assessment is obtained. Or any two or more of the following items are obtained, item A assessment score A; item B assessment score B; item C assessment score C; item D assessment score D; item E assessment score E; a total assessment score is obtained, and according to the total assessment score, a Babesia infection risk assessment value or a risk level assessment is obtained.

Description

Technical Field

[0001] This application belongs to the field of formed element analysis technology based on magnified microscopic images, and particularly relates to a method for detecting the probability of parasitic infection, especially a method for detecting the probability of Babesia infection. Background Technology

[0002] In the current technology, a microscope with sufficient magnification is usually required to confirm a parasitic infection.

[0003] Babesia, a blood parasite, primarily infects and transmits through tick bites. After a tick bites, it releases babesiophores into the host's bloodstream. The sporozoites penetrate red blood cells, divide, and form merozoites and merozoites. The rupture of the red blood cells releases the parasite, which then invades and destroys new red blood cells, repeating the developmental process. Babesia can also be transmitted through blood and vertically through the placenta. Morphologically, it can be divided into two types: Babesia microsaurii and Babesia macrosaurii.

[0004] Babesia microsporum: Primarily Babesia gibrini, 1-3 μm in size, typically characterized by a single ring-like structure, but punctate or rod-like forms can also be observed. Multiple parasites can infect a single red blood cell. Figure 5 and Figure 6 The image shows the infection of Babesia minor within red blood cells. Figure 5 and Figure 6 This is a magnified micrograph under an oil immersion microscope. The small dots in the red blood cells are Babesia microsporum.

[0005] Babesia macrocarpa: Primarily Babesia canis, Babesia voyeuris, and Babesia revoluta, measuring 3-7 μm in size. A typical characteristic is a pear-seed-like or melon-seed-shaped form, pointed at one end and blunt at the other. Other shapes, such as ring-shaped or amoeboid, can also be observed. Multiple parasites can infect a single red blood cell. For example... Figure 7 and Figure 8 The image shows the infection of *Babesia macrocephala* within red blood cells. Figure 7 and Figure 8 This is a magnified micrograph under an oil immersion microscope. The pear-shaped spots in the red blood cells and the pear-shaped spots outside the cells are Babesia macrocarpa.

[0006] In formed element detection devices, the higher the magnification of the microscope, the higher the cost. Diagnosing Babesia typically requires a microscope with magnification of 60x or higher. The challenge lies in finding a way to output Babesia detection results using a low-magnification microscope, such as a 40x microscope.

[0007] How to integrate information from multiple different types of tests to output a comprehensive result indicating the probability of infection is also a technical problem that needs to be solved. Summary of the Invention

[0008] In this application, the inventor's proposed technical solution utilizes a low-magnification microscope combined with suspected parasite characteristic data, and compares the data content with thresholds to obtain a risk assessment value for suspected Babesia infection or a result assessing the level of risk.

[0009] The AI ​​training method for suspected blood parasite detection can obtain characteristic data of suspected parasites. Using this characteristic data and corresponding detection methods, it can output suspected blood parasite detection results, providing more in-depth information for clinicians and offering more accurate guidance on whether to perform higher magnification detection. It can make the best use of existing hardware to obtain more in-depth and extensive information for clinical reference.

[0010] The solution proposed in this application to address the aforementioned technical problem is a method for detecting the probability of Babesia infection. The method involves preprocessing a blood sample to obtain a microscopic sample; setting the microscope magnification and photographing the microscopic sample to obtain an image; using an AI recognition algorithm in conjunction with a suspected Babesia feature dataset to analyze the microscopic sample image and identify suspected Babesia in the image; the suspected Babesia feature dataset is obtained by training on suspected Babesia images; the content of suspected Babesia is obtained, and the content is compared with a threshold to obtain a suspected Babesia infection risk assessment value or a risk level assessment.

[0011] It can be that the content is the unit volume content of suspected Babesia, and if the unit volume content is greater than the threshold, the risk of suspected Babesia infection is high.

[0012] The content can be the ratio of the number of suspected Babesia to the number of red blood cells. If the ratio of the number of suspected Babesia to the number of red blood cells is greater than a threshold, the risk of suspected Babesia infection is high. The solution to the above technical problem in this application can also be a method for detecting the probability of Babesia infection, including any two or more of the following: Item A: includes a survey question, and an assessment score is obtained based on the question to obtain an assessment score A for Item A; the survey question includes medical history questions; Item B: includes at least one routine physical examination item test, and an assessment score B for the routine physical examination item test is obtained; Item C: includes at least one routine biochemical test, and an assessment score C for the routine biochemical test is obtained; Item D: includes at least one ultrasound test, and an assessment score D for the ultrasound test is obtained; Item E: includes the method described in claims 1 to 3, and an assessment score E is obtained; a total assessment score is obtained, and based on the total assessment score, a Babesia infection risk assessment value or a risk level assessment is obtained.

[0013] It is possible that the Babesia is either Babesia macrocarpa or Babesia microcarpa.

[0014] It can be any item, including sub-items and sub-item values, where the Babesia infection risk assessment value is equal to the sum of the sub-item values.

[0015] It can be any item, including sub-items and sub-item values, where the Babesia infection risk assessment value is equal to the sum of the sub-item values ​​and the percentage of the total score.

[0016] It can be that item A includes any two or more of the following: Item A1: The pet has a habit of being taken outside for walks; if yes, a set score is awarded; otherwise, the score is 0. Item A2: No external parasite treatment has been given within the last 1-3 months; if yes, a set score is awarded; otherwise, the score is 0. Item A3:

[0017] Tick ​​bites within the last 1-3 months; if you receive the set score, you will receive 0 points; Item A4: Depression, lethargy, and decreased appetite; if you receive the set score, you will receive 0 points; Item A5: Pet has been bitten in a fight; if you receive the set score, you will receive 0 points; Item A6: Vomiting; if you receive the set score, you will receive 0 points.

[0018] Item B may include any two or more of the following: Item B1: Urine is pale red or red; if yes, a set score is obtained; otherwise, the score is 0; Item B2: Has been infected with Babesia; if yes, a set score is obtained; otherwise, the score is 0; Item B3: Has received blood transfusion treatment, and the donor dog has not been screened for Babesia; if yes, a set score is obtained; otherwise, the score is 0; Item B4: Body temperature: fever; if yes, a set score is obtained; otherwise, the score is 0; rectal temperature measurement: 37.5-39°C for dogs. 2℃, cats 37.8-39.5℃, exceeding the above range is considered fever; Item B5: Pale mucous membranes and gums; if yes, the set score is obtained, otherwise the score is 0; Item B6: Jaundice of mucous membranes, gums, conjunctiva, and auricles; if yes, the set score is obtained, otherwise the score is 0; Item B7: Capillary refill time: >2s; if yes, the set score is obtained, otherwise the score is 0; Item B8: Widespread petechiae or ecchymoses visible on the body surface: >2s; if yes, the set score is obtained, otherwise the score is 0.

[0019] Item B may include any two or more of the following positive or negative questions: Item C1: Red blood cell count (RBC#) is below normal; if yes, a set score is obtained; otherwise, a score of 0 is obtained; Item C2: Reticulocyte count (RET#) is elevated; if yes, a set score is obtained; otherwise, a score of 0 is obtained; Item C3: White blood cell count (WBC#) is elevated or decreased; if yes, a set score is obtained; otherwise, a score of 0 is obtained; Item C4: Platelet count (PLT#) is below normal; if no, a score of 0 is obtained; Item C5: Suspected parasites are visible in the blood smear; if no, a score of 0 is obtained; Item C6: Inflammation Elevated protein levels; if yes, a set score is obtained; otherwise, the score is 0; Item C7: Abnormal kidney function indicators; if yes, a set score is obtained; otherwise, the score is 0; Item C8: Abnormal liver function indicators: elevated ALP / ALT / AST / TBIL; if yes, a set score is obtained; otherwise, the score is 0; Item C9: Abnormal coagulation indicators (APTT / PT / TT / FIB); if yes, a set score is obtained; otherwise, the score is 0; Item C10: Urine test strip examination: positive for urine bilirubin BIL / urine occult blood BLD; if yes, a set score is obtained; otherwise, the score is 0.

[0020] The item D may include any two or more of the following positive or negative questions: Item D1: Splenomegaly; if yes, a set score is obtained; if no, a score of 0 is obtained; Item D2: Unilateral or bilateral renal enlargement; if yes, a set score is obtained; if no, a score of 0 is obtained; According to the method of claim 4, the item E includes any two or more of the following positive or negative questions: Item E1: Low probability of suspected Babesia infection; if yes, a set score is obtained; if no, a score of 0 is obtained; Item E2: Medium probability of suspected Babesia infection; if yes, a set score is obtained; if no, a score of 0 is obtained; Item E3: High probability of suspected Babesia infection; if yes, a set score is obtained; if no, a score of 0 is obtained; Low probability.

[0021] The solution to the above-mentioned technical problem in this application can also be a computing processing device or a detection device, used to run all or part of the above-mentioned method; the memory of the computing processing device includes the above-mentioned suspected blood parasite feature dataset.

[0022] The solution to the above-mentioned technical problem in this application can also be a data storage device that stores all or part of the program code used in the above-mentioned method; and stores the dataset of suspected blood parasite features included above.

[0023] The technical effects of the above-mentioned technical solution include: a method for detecting the possibility of Babesia infection, which can output a risk assessment value or risk level assessment result of suspected Babesia infection based on the relationship between the content of suspected Babesia and the threshold, and can obtain more accurate diagnostic information with the help of a low magnification microscope.

[0024] The technical effects of the above-mentioned technical solution include: obtaining a comprehensive evaluation score based on statistical analysis of multiple testing items or questionnaire survey reports, which significantly reduces the difficulty of screening and improves the accuracy of screening.

[0025] The technical effects of the above-mentioned technical solution include: based on the screening results, it can be determined whether to increase the number of screening tests; the more screening tests are conducted, the higher the reliability of the results.

[0026] The technical benefits of the above-mentioned solution include: based on routine testing and using evaluation algorithms, suspected parasitic infections can be screened out, significantly reducing testing costs.

[0027] The technical effects of the above-mentioned technical solution include: the unit volume content of suspected Babesia is used to indicate the degree of suspected Babesia infection risk, with higher accuracy.

[0028] The technical effects of the above-mentioned technical solution include: the ratio of the number of suspected Babesia to red blood cells is used to indicate the degree of risk of suspected Babesia infection, and with red blood cells as a benchmark, the accuracy is higher.

[0029] The technical effects of the above-mentioned technical solution include: the method for detecting the probability of Babesia infection integrates multiple test results, further improving the accuracy of indicating the degree of suspected Babesia infection risk.

[0030] The technical effects of the above-mentioned technical solution include: the Babesia infection risk assessment value is equal to the sum of the values ​​of each component, the output results are more reliable, and the cumulative calculation is easier to improve the accuracy of Babesia infection probability detection.

[0031] The technical effects of the above-mentioned technical solutions include: each project has further detailed projects that can further improve the accuracy of detecting the possibility of Babesia infection.

[0032] The technical effects of the above-mentioned technical solution include: the assessment results of multiple possibilities of suspected Babesia infection provide a more accurate indication of whether further diagnostic testing is needed.

[0033] The technical effects of the above-mentioned technical solution include: a method for assessing the probability of blood parasite infection, which can calculate the content of suspected parasites per unit volume, accurately quantify the results, and make the results more reliable. Attached Figure Description

[0034] Figure 1 This is a flowchart illustrating the method for detecting the probability of Babesia infection.

[0035] Figure 2 This is a flowchart illustrating the method for detecting the probability of Babesia infection.

[0036] Figure 3 This is a flowchart illustrating the method for detecting the probability of Babesia infection.

[0037] Figure 4 This is a schematic diagram of the various items designed for the Babesia infection probability detection.

[0038] Figure 5 This is a diagram illustrating the infection of Babesia minimus by red blood cells;

[0039] Figure 6 This is a diagram illustrating the infection of Babesia minimus by red blood cells;

[0040] Figure 7 This is a diagram illustrating the infection of the giant Babes with red blood cells;

[0041] Figure 8 This is a diagram illustrating the infection of the giant Babes with red blood cells;

[0042] Figure 9 This is a schematic diagram of a suspected blood parasite detection method;

[0043] Figure 10 This is a schematic diagram of a suspected blood parasite detection method.

[0044] Specific implementation

[0045] Way

[0046] The contents of this application will be further described in detail below with reference to the accompanying drawings. It should be noted that the following description is of preferred embodiments of the present invention and does not constitute any limitation on the present invention. The description of the preferred embodiments of the present invention is merely an explanation of the general principles of the invention. The designations "first," "second," "A," and "B" used in this invention are for ease of explanation only and do not represent a temporal or spatial order. The combinations of letters and numbers "TA," "TB," and "H" used in this invention are for ease of explanation only, and their specific meanings are determined by the specific terms they represent.

[0047] like Figure 1 and Figure 2In one embodiment of a method for detecting the probability of Babesia infection, a blood sample is preprocessed to obtain a microscopic sample; the microscope magnification is set, and the microscopic sample is photographed to obtain a microscopic sample image; an AI recognition algorithm, combined with a suspected Babesia feature dataset, is used to analyze the microscopic sample image to identify suspected Babesia in the image; the suspected Babesia feature dataset is obtained by training on suspected Babesia images; the content of suspected Babesia is obtained, and the content is compared with a threshold to obtain a suspected Babesia infection risk assessment value or risk level assessment. The content is the suspected Babesia content per unit volume; if the content per unit volume is greater than the threshold, the suspected Babesia infection risk is high. The content is also the ratio of the number of suspected Babesia to red blood cells; if the ratio of the number of suspected Babesia to red blood cells is greater than the threshold, the suspected Babesia infection risk is high.

[0048] like Figure 3 and Figure 4 An embodiment of a method for detecting the probability of Babesia infection includes any two or more of the following: Item A: includes survey questions, and an assessment score A is obtained based on the questions; the survey questions include medical history questions; Item B: includes at least one routine physical examination test, and an assessment score B is obtained for the routine physical examination test; Item C: includes at least one routine biochemical test, and an assessment score C is obtained for the routine biochemical test; Item D: includes at least one ultrasound test, and an assessment score D is obtained for the ultrasound test; Item E: includes the test performed by the method described in claims 1 to 3, and an assessment score E is obtained; a total assessment score is obtained, and based on the total assessment score, a Babesia infection risk assessment value or a risk level assessment is obtained. The Babesia is Babesia macrocarpa and / or Babesia microcarpa.

[0049] like Figure 3 and Figure 4 In one embodiment of a method for detecting the probability of Babesia infection, each item includes sub-items and sub-item values, and the Babesia infection risk assessment value is equal to the sum of the sub-item values. For example... Figure 3 and Figure 4 In one embodiment of a method for detecting the probability of Babesia infection, each item includes sub-items and sub-item values, and the Babesia infection risk assessment value is equal to the sum of the sub-item values ​​and the percentage of the total score.

[0050] like Figure 3 and Figure 4In an embodiment of a method for detecting the probability of Babesia infection, item A includes any two or more of the following: Item A1: The pet has a habit of being taken outside for walks; if yes, a set score is obtained; otherwise, the score is 0; Item A2: No external parasite treatment has been performed within the last 1-3 months; if yes, a set score is obtained; otherwise, the score is 0; Item A3: The pet has been bitten by ticks within the last 1-3 months; if yes, a set score is obtained; otherwise, the score is 0; Item A4: The pet is depressed, lethargic, and has a decreased appetite; if yes, a set score is obtained; otherwise, the score is 0; Item A5: The pet has been bitten in a fight; if yes, a set score is obtained; otherwise, the score is 0; Item A6: Vomiting; if yes, a set score is obtained; otherwise, the score is 0.

[0051] like Figure 3 and Figure 4 In one embodiment of a method for detecting the probability of Babesia infection, item B includes any two or more of the following: Item B1: Urine is pale red or red; a set score is obtained if yes, and 0 if no; Item B2: Previous Babesia infection; a set score is obtained if yes, and 0 if no; Item B3: Blood transfusion treatment has been received, but the donor dog has not undergone Babesia screening; a set score is obtained if yes, and 0 if no; Item B4: Body temperature: fever; a set score is obtained if yes, and 0 if no; rectal temperature measurement: Dogs: 37.5-39.2℃; Cats: 37.8-39.5℃. Temperatures exceeding these ranges are considered fever. Item B5: Pale mucous membranes and gums; if the set score is achieved, the score is 0. Item B6: Jaundice of mucous membranes, gums, conjunctiva, and auricles; if the set score is achieved, the score is 0. Item B7: Capillary refill time: >2s; if the set score is achieved, the score is 0. Item B8: Widespread petechiae or ecchymoses visible on the body surface: >2s; if the set score is achieved, the score is 0.

[0052] like Figure 3 and Figure 4In an embodiment of a method for detecting the probability of Babesia infection, item B includes any two or more of the following positive or negative questions: Item C1: Red blood cell count (RBC#) is lower than normal; if yes, a set score is obtained; otherwise, a score of 0 is obtained; Item C2: Reticulocyte count (RET#) is elevated; if yes, a set score is obtained; otherwise, a score of 0 is obtained; Item C3: White blood cell count (WBC#) is elevated or decreased; if yes, a set score is obtained; otherwise, a score of 0 is obtained; Item C4: Platelet count (PLT#) is lower than normal; if no, a score of 0 is obtained; Item C5: Suspected parasites are visible in the blood smear; if no, a score is obtained. Item C6: Elevated inflammatory proteins; if yes, the set score is obtained; otherwise, the score is 0. Item C7: Abnormal kidney function indicators; if yes, the set score is obtained; otherwise, the score is 0. Item C8: Abnormal liver function indicators: elevated ALP / ALT / AST / TBIL; if yes, the set score is obtained; otherwise, the score is 0. Item C9: Abnormal coagulation indicators (APTT / PT / TT / FIB); if yes, the set score is obtained; otherwise, the score is 0. Item C10: Urine test strip examination: positive urine bilirubin BIL / urine occult blood BLD; if yes, the set score is obtained; otherwise, the score is 0.

[0053] like Figure 3 and Figure 4 In an embodiment of a method for detecting the probability of Babesia infection, item D includes any two or more of the following positive or negative questions: Item D1: Splenomegaly; if yes, a set score is obtained; if no, a score of 0 is obtained; Item D2: Unilateral or bilateral kidney enlargement; if yes, a set score is obtained; if no, a score of 0 is obtained; According to the method of claim 4, item E includes any two or more of the following positive or negative questions: Item E1: Low probability of suspected Babesia infection; if yes, a set score is obtained; if no, a score of 0 is obtained; Item E2: Medium probability of suspected Babesia infection; if yes, a set score is obtained; if no, a score of 0 is obtained; Item E3: High probability of suspected Babesia infection; if yes, a set score is obtained; if no, a score of 0 is obtained; Low probability.

[0054] like Figure 9 The process involves preprocessing blood samples to obtain microscopic samples; setting the microscope magnification and photographing the microscopic samples to obtain microscopic sample images; using an AI recognition algorithm in conjunction with suspected parasite feature data to analyze the microscopic sample images and identify suspected parasites in the images; the suspected parasite feature data is obtained by training on suspected parasite images. The process also includes obtaining the number of suspected parasites in the microscopic sample images, obtaining the corresponding volume of the microscopic sample images, and calculating the content of suspected parasites per unit volume.

[0055] like Figure 9 It is used to assess the possibility of blood parasite infection, obtain the number of suspected parasites in the microscopic sample image, obtain the volume corresponding to the microscopic sample image, and calculate the content of suspected parasites per unit volume = (number of suspected parasites / volume of microscopic sample) × dilution factor of microscopic sample.

[0056] like Figure 10 It also includes obtaining the number of suspected parasites in the microscopic sample image, obtaining the number of red blood cells corresponding to the microscopic sample image, and calculating the ratio of the number of suspected parasites to the number of red blood cells.

[0057] like Figure 10 It is used to assess the possibility of blood parasite infection, obtain the number of suspected parasites in the microscopic sample image, obtain the number of red blood cells corresponding to the microscopic sample image, and calculate the ratio of the number of suspected parasites to the number of red blood cells = number of suspected parasites / number of red blood cells.

[0058] A computing processing device or detection device is used to run all or part of the above-described method; the memory of the computing processing device includes the above-described dataset of suspected blood parasite features.

[0059] A data storage device for storing all or part of the program code used in the above-described methods; and for storing a dataset of suspected blood parasite features, as described above.

[0060] While the present invention has been described and illustrated with reference to preferred embodiments and several alternatives, the invention is not limited to the specific descriptions herein. Other alternatives or equivalent components may also be used to practice the invention.

Claims

1. A method for detecting the probability of Babesia infection, characterized in that, Blood samples are pre-processed to obtain microscopic samples; Set the microscope magnification, take a picture of the microscopic sample, and obtain an image of the microscopic sample; Using AI recognition algorithms in conjunction with a dataset of suspected Babesia features, the microscopic sample images were analyzed to identify suspected Babesia in the images. The suspected Babesia feature dataset was obtained by training on suspected Babesia images; The content of suspected Babesia is obtained, and the content is compared with a threshold to obtain a value for the risk assessment of suspected Babesia infection or a risk level assessment.

2. The method according to claim 1, characterized in that, The content refers to the suspected Babesia content per unit volume. If the content per unit volume is greater than the threshold, the risk of suspected Babesia infection is high.

3. The method according to claim 1, characterized in that, The content is the ratio of the number of suspected Babesia to the number of red blood cells. If the ratio of the number of suspected Babesia to the number of red blood cells is greater than the threshold, the risk of suspected Babesia infection is high.

4. A method for detecting the probability of Babesia infection, characterized in that, Includes any two or more of the following: Project A: Includes survey questions, which are then evaluated and scored to obtain an evaluation score of A for Project A; the survey questions include medical history questions; Project B: Includes at least one routine physical examination item and obtains an assessment score of B for the routine physical examination item. Project C: Includes at least one routine biochemical test, and obtains an evaluation score of C for the routine biochemical test; Project D: Includes at least one ultrasound examination, and obtains an evaluation score D for the ultrasound examination; Project E: Detection using the method described in claims 1 to 3 to obtain an evaluation score E; Obtain the total assessment score, and based on the total assessment score, obtain the Babesia infection risk assessment value or risk level assessment.

5. The method according to claim 4, characterized in that, The Babesia species are Babesia macrocarpa and / or Babesia microcarpa.

6. The method according to claim 4, characterized in that, Each item, including sub-items and sub-item values, has a Babesia infection risk assessment value equal to the sum of the values ​​of each sub-item.

7. The method according to claim 4, characterized in that, Each item, including sub-items and sub-item values, has a Babesia infection risk assessment value equal to the sum of the sub-item values ​​and the percentage of the total score.

8. The method according to claim 4, characterized in that, Project A includes any two or more of the following: Project A1: The pet has a habit of being taken outside for walks; if so, the pet will receive a set score; otherwise, the score will be 0. Item A2: No external parasite treatment has been performed within the last 1-3 months; if this is the case, a score will be awarded; otherwise, a score of 0 will be awarded. Project A3: Tick bites within the last 1-3 months; if you receive the set score, otherwise the score is 0. Project A4: Depression, lethargy, and decreased appetite; If the target score is achieved, the score will be 0; otherwise, the score will be 0. Item A5: The pet has a history of fighting and biting injuries; If the target score is achieved, the score will be 0; otherwise, the score will be 0. Item A6: Vomiting; if yes, you will receive the set score; otherwise, you will receive 0 points.

9. The method according to claim 4, characterized in that, Project B includes any two or more of the following: Item B1: Urine is light red or red; if you get the set score, otherwise you get 0 points. Item B2: Previously infected with Babesia; if so, a set score will be awarded; otherwise, a score of 0 will be awarded. Item B3: The dog has received blood transfusions and the donor dog has not undergone Babesia screening; If the target score is achieved, the score will be 0; otherwise, the score will be 0. Item B4: Body temperature: Fever; If the target score is achieved, the score will be 0; otherwise, the score will be 0. Item B5: Pale mucosa and gums; if you receive the set score, otherwise you receive 0 points. Item B6: Jaundice of the mucous membranes, gums, conjunctiva, and auricle; if the target score is obtained, the score is 0 if not obtained. Item B7: Capillary refill time: >2s; if obtained, a set score is awarded; otherwise, a score of 0 is awarded. Item B8: Widespread petechiae or ecchymoses visible on the body surface: >2s; if yes, a set score is obtained; otherwise, a score of 0 is obtained.

10. The method according to claim 4, characterized in that, Project B includes any two or more of the following forward or reverse questions; Item C1: Red blood cell count (RBC#) is below normal; if yes, a score will be awarded; otherwise, a score of 0 will be awarded. Item C2: Elevated reticulocyte count (RET#); If the target score is achieved, the score will be 0; otherwise, the score will be 0. Item C3: White blood cell count (WBC#) increases or decreases; if yes, a score is awarded; otherwise, a score of 0 is awarded. Item C4: Platelet count (PLT#) is below normal; if not, a score of 0 is awarded. Item C5: Blood smear shows suspected parasites; if not, score 0. Item C6: Elevated inflammatory proteins; If the target score is achieved, the score will be 0; otherwise, the score will be 0. Item C7: Abnormal kidney function indicators; if obtained, a set score will be awarded; otherwise, a score of 0 will be awarded. Item C8: Abnormal liver function indicators: If obtained, a set score is awarded; otherwise, a score of 0 is awarded. Project C9: Abnormal coagulation indicators; If the target score is achieved, the score will be 0; otherwise, the score will be 0. Item C10: Urine test strip examination: positive for bilirubin BIL / occult blood BLD in urine; If you receive the set score, otherwise you receive 0 points.

11. The method according to claim 4, characterized in that, Project D includes any two or more of the following forward or reverse problems; Item D1: Splenomegaly; if yes, the set score is awarded; otherwise, the score is 0. Item D2: Unilateral or bilateral kidney enlargement; if yes, a set score will be awarded; otherwise, a score of 0 will be awarded.

12. The method according to claim 4, characterized in that, Project E includes any two or more of the following forward or reverse problems; Project E1: Low probability of suspected Babesia infection; if yes, a set score will be awarded; otherwise, a score of 0 will be awarded. Project E2: Possible Babesia infection; If the target score is achieved, the score will be 0; otherwise, the score will be 0. Project E3: High probability of suspected Babesia infection; if obtained, a set score will be awarded; otherwise, a score of 0 will be awarded; low probability.

13. A computing processing device or detection device, characterized in that, Includes any one of the following technical features: TEA1: Used to run all or part of the method described in any one of claims 1 to 12; TEA2: The memory of the computing processing device includes the suspected blood parasite feature dataset as described in any one of claims 1 to 12.

14. A data storage device, characterized in that, Includes any one of the following technical features: TEB1: Stores program code for performing all or part of the method described in any one of claims 1 to 12; TEB2: Stores a dataset of suspected blood parasite features as described in any one of claims 1 to 12.

Images