System for assisting genetic risk prediction of gestational diabetes mellitus based on artificial intelligence

Abstract

The invention discloses a system for assisting genetic risk prediction of gestational diabetes mellitus based on artificial intelligence. A storage groove is internally provided with a storage assembly used for storing a first fixing assembly into the storage groove; the sealing device comprises a sealing assembly arranged in the sealing groove and used for sealing the containing groove, and a driving assembly used for driving the sealing assembly to move left and right is arranged at the bottom end of the sealing assembly. Therefore, the storage groove is opened by driving the operation plate, and the detection strip in the fixing strip can be driven to move out of the storage groove at the same time; at the moment, the data acquisition module can move downwards along with the fixed strip, and the detection strip can be used for detecting the saliva of the pregnant woman; the detection result is transmitted to the data processing module through the data acquisition module, and under the cooperation of the machine learning module, the risk assessment module and the expert system module, the display output module can be used for generating the condition of the diabetes genetic risk into an image-text version risk assessment report, and the image-text version risk assessment report is displayed on the display screen.

Description

Technical Field

[0001] The present application relates to the technical field of medical devices, and in particular to a system for predicting the genetic risk of gestational diabetes mellitus based on artificial intelligence. Background Art

[0002] Diabetes is a clinical syndrome characterized by chronic hyperglycemia caused by the combined effects of genetic and environmental factors. When a female patient is pregnant, in order to ensure the health of the unborn child, a prenatal safety examination is required to test the patient's various physical indicators and analyze the genetic probability of diabetes.

[0003] When existing testing devices predict the genetic risk of diabetes in pregnant women's saliva, the measuring strip on the testing device is always located below the testing device. When the testing device is not in use, the measuring strip is contaminated, resulting in inaccurate prediction of the genetic risk of diabetes in pregnant women's saliva by the testing device. Summary of the Invention

[0004] The present application aims to solve one of the technical problems in the related art at least to a certain extent.

[0005] To this end, one purpose of the present application is to provide a system for predicting the genetic risk of gestational diabetes based on artificial intelligence assistance. The two locking rods are unscrewed and removed from the operating panel, and then the sealing plate is moved into the sealing groove by driving the operating panel, and the limiting plate 2 on the sealing plate can move along the guide rod to prevent the sealing plate from shifting; therefore, the storage groove can be opened; and at this time, under the elastic action of the spring 1 in the compressed state mounted on the round rod, the limiting block can be driven to move downward, and at the same time, the detection strip in the fixed strip can be driven out of the storage groove; at this time, the data acquisition module can simultaneously follow the fixed strip to move downward and perform diabetes genetic test on the saliva of the pregnant woman; the detection strip can be used to test the saliva of the pregnant woman; and the test results are transmitted to the data processing module through the data acquisition module. At the same time, with the cooperation of the machine learning module, the risk assessment module and the expert system module, and the display output module, the situation of the diabetes genetic risk can be generated into a graphic risk assessment report and displayed on the display screen, so that medical staff can know the test results.

[0006] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a system for predicting the genetic risk of gestational diabetes based on artificial intelligence assistance, including a detector, wherein the detector is provided with a test strip for testing the saliva of pregnant women, the detector is provided with a storage device for storing the test strip in the detector, the detector is provided with a sealing device for sealing the storage device in the detector, and the rear end of the detector is provided with a fixing device for fixing the sealing device; the bottom end of the detector is provided with a storage groove for storing the fixing component one, and the storage groove is provided with a device for connecting with the test strip in the fixing component one. A data acquisition module, a sealing groove for accommodating a sealing component is provided in the detector; the accommodating device includes a fixing component 1 arranged in the accommodating groove for fixing the detection strip, and a accommodating component for accommodating the fixing component 1 in the accommodating groove is provided in the accommodating groove; the sealing device includes a sealing component arranged in the sealing groove for sealing the accommodating groove, and a driving component for driving the sealing component to move left and right is provided at the bottom end of the sealing component; the fixing device includes a fixing component 2 fixedly installed at the rear end of the detector, and a clamping component for cooperating with the fixing component 2 to fix the detector is provided in the fixing component 2.

[0007] In addition, the artificial intelligence-assisted genetic risk prediction system for gestational diabetes mellitus proposed in the present application may also have the following additional technical features:

[0008] In one embodiment of the present application, the receiving assembly includes two round rods fixedly installed in the receiving groove, and the rod bodies of the round rods are provided with a spring 1 for receiving the fixing assembly 1 into the receiving groove.

[0009] In one embodiment of the present application, the fixing assembly 1 includes a limiting plate 1 arranged in the receiving groove for moving up and down, and the front and rear ends of the limiting plate 1 are fixedly installed with limiting blocks for being mounted on the round rod.

[0010] In one embodiment of the present application, a fixing bar for placing the detection bar is fixedly installed at the bottom end of the limiting plate 1, and the detection bar in the fixing bar conflicts with the data acquisition module, and a cover plate for fixing the detection bar is provided at the bottom end of the fixing bar.

[0011] In one embodiment of the present application, the sealing assembly includes a sealing plate arranged in the sealing groove for sealing the storage groove, and a limiting plate 2 is fixedly installed on the left end of the sealing plate to prevent the sealing plate from escaping from the sealing groove, and a guide rod is fixedly installed in the sealing groove for being mounted on the limiting plate 2.

[0012] In one embodiment of the present application, the driving assembly includes a connecting column fixedly installed at the bottom end of the guide rod, and an operating plate for driving the connecting column to move left and right is fixedly installed at the bottom end of the connecting column, and a locking rod for locking the operating plate is provided on the plate body of the operating plate.

[0013] In one embodiment of the present application, the second fixing component includes a fixing plate fixedly installed at the rear end of the detector, and a moving groove for allowing the clamping component to move forward and backward is opened at the bottom end of the fixing plate.

[0014] In one embodiment of the present application, the clamping assembly includes a sliding rod fixedly installed in a movable groove, a movable block for moving back and forth is mounted on the rod body of the sliding rod, a clamping plate for cooperating with a fixed plate to fix the detector is fixedly mounted on the bottom end of the movable block, and a spring 2 is mounted on the rod body of the sliding rod.

[0015] In one embodiment of the present application, a display screen for displaying the test results of the test strip is provided at the front end of the detector, and a button is provided below the display screen.

[0016] In one embodiment of the present application, a sliding groove for allowing the connecting column to move is provided at the bottom end of the detector, and locking holes for cooperating with a locking rod to lock the operating panel are provided on both sides of the sliding groove.

[0017] Compared with the prior art, the present invention has the following advantages:

[0018] By providing a receiving device and a sealing device, when it is necessary to perform diabetes genetic testing on the saliva of a pregnant woman, the detector can be removed by driving the clamping plate away from the fixed plate and the movable block moving along the slide rod in the movable slot. The two locking rods are then loosened and removed from the operating panel, and the sealing plate is then driven to move into the sealing slot by the operating panel. The second limiting plate on the sealing plate moves along the guide rod to prevent the sealing plate from shifting. The receiving slot can then be opened. At this time, the elastic action of the first spring mounted on the round rod in a compressed state drives the limiting block downward and simultaneously drives the detection strip in the fixed bar out of the receiving slot. The data acquisition module can then move downward with the fixed bar and perform diabetes genetic testing on the saliva of the pregnant woman. The detection strip can be used to test the saliva of the pregnant woman. The test results are transmitted to the data processing module via the data acquisition module. At the same time, with the cooperation of the machine learning module, the risk assessment module, and the expert system module, the display output module generates a graphic risk assessment report on the diabetes genetic risk and displays it on the display screen, making it convenient for medical personnel to understand the test results.

[0019] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0021] Figure 1 This is a schematic diagram of the structure of a system for artificial intelligence-assisted genetic risk prediction of gestational diabetes according to one embodiment of the present application;

[0022] Figure 2 This is a front view of a system for predicting genetic risk of gestational diabetes based on artificial intelligence according to one embodiment of the present application;

[0023] Figure 3 This is a partial cross-sectional view of a detector of a system for artificial intelligence-assisted genetic risk prediction of gestational diabetes according to one embodiment of the present application;

[0024] Figure 4 This is a rear cross-sectional view of a detector of a system for artificial intelligence-assisted genetic risk prediction of gestational diabetes according to one embodiment of the present application;

[0025] Figure 5 This is a schematic diagram of the structure of a receiving device for a system for artificial intelligence-assisted genetic risk prediction of gestational diabetes according to one embodiment of the present application;

[0026] Figure 6 A system for predicting the genetic risk of gestational diabetes mellitus based on artificial intelligence according to one embodiment of the present application Figure 5 Enlarged view of point A in the middle;

[0027] Figure 7 This is a schematic structural diagram of a sealing device for a system based on artificial intelligence-assisted genetic risk prediction for gestational diabetes according to one embodiment of the present application;

[0028] Figure 8 Schematic diagram of the fixing device structure of a system for predicting the genetic risk of gestational diabetes based on artificial intelligence according to one embodiment of the present application

[0029] Figure 9 This is a system block diagram of a system for predicting genetic risk of gestational diabetes based on artificial intelligence according to one embodiment of the present application.

[0030] As shown in the figure: 100, detector; 101, display screen; 102, button; 103, sealing groove; 104, storage groove; 105, data acquisition module; 106, slide groove; 107, locking hole; 200, detection strip; 300, storage device; 310, fixing component 1; 311, fixing strip; 312, cover plate; 313, limiting plate 1; 314, limiting block; 320, storage component; 321, round rod; 322, spring 1 ; 400, sealing device; 410, driving assembly; 411, connecting column; 412, operating panel; 413, locking rod; 420, sealing assembly; 421, limiting plate 2; 422, guide rod; 423, sealing plate; 500, fixing device; 510, fixing assembly 2; 511, fixing plate; 512, moving groove; 520, clamping assembly; 521, moving block; 522, sliding rod; 523, spring 2; 524, clamping plate. DETAILED DESCRIPTION

[0031] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0032] The following describes, in conjunction with the accompanying drawings, a system for predicting the genetic risk of gestational diabetes based on artificial intelligence according to an embodiment of the present application.

[0033] like Figures 1-9As shown, a system for predicting the genetic risk of gestational diabetes based on artificial intelligence assistance in an embodiment of the present application includes a detector 100, a detection strip 200 for detecting saliva of a pregnant woman is provided in the detector 100, a storage device 300 for storing the detection strip 200 in the detector 100 is provided in the detector 100, a sealing device 400 for sealing the storage device 300 in the detector 100 is provided in the detector 100, and a fixing device 500 for fixing the sealing device 400 is provided at the rear end of the detector 100; a storage groove 104 for storing the fixing component 310 is provided at the bottom end of the detector 100, and a detection strip 200 for storing the detection strip 200 in the fixing component 310 is provided in the storage groove 104. 200 is connected to the data acquisition module 105, the detector 100 is provided with a sealing groove 103 for accommodating the sealing component 420; the accommodating device 300 includes a fixing component 1 310 arranged in the accommodating groove 104 for fixing the test strip 200, and the accommodating groove 104 is provided with a accommodating component 320 for accommodating the fixing component 1 310 in the accommodating groove 104; the sealing device 400 includes a sealing component 420 arranged in the sealing groove 103 for sealing the accommodating groove 103, and the bottom end of the sealing component 420 is provided with a driving component 410 for driving the sealing component 420 to move left and right; the fixing device 500 includes a fixing component 2 510 fixedly installed at the rear end of the detector 100, and the fixing component 2 510 is provided. 10 is provided with a clamping assembly 520 for cooperating with the fixing assembly 2 510 to fix the detector 100; so that when it is necessary to test the genetics of diabetes in the saliva of pregnant women; when the clamping plate 524 is driven to move away from the fixing plate 511, the moving block 521 can move along the sliding rod 522 in the moving groove 512, and the detector 100 can be removed; then the two locking rods 413 are loosened and removed from the operating plate 412, and then the sealing plate 423 is moved into the sealing groove 103 by driving the operating plate 412, and the limiting plate 2 421 on the sealing plate 423 can move along the guide rod 422 to prevent the sealing plate 423 from deflecting; thus, the receiving groove 104 can be opened; and at this time, the round rod 321 is sleeved on the Under the elastic action of the spring 322 in the compressed state, the limiting block 314 can be driven to move downward, and at the same time, the test strip 200 in the fixed bar 311 can be driven to move out of the storage slot 104; at this time, the data acquisition module 105 can simultaneously follow the fixed bar 311 to move downward and perform diabetes genetic test on the saliva of the pregnant woman; the test strip 200 can be used to test the saliva of the pregnant woman; and the test results are transmitted to the data processing module through the data acquisition module 105. At the same time, with the cooperation of the machine learning module, the risk assessment module and the expert system module, and using the display output module, the situation of diabetes genetic risk can be generated into a graphic version of the risk assessment report and displayed on the display screen 101, so that medical staff can know the test results.

[0034] Example 2

[0035] Reference Manual Figure 2 、 Figure 3 、 Figure 5 and Figure 9 It can be seen that the difference between the second embodiment and the embodiment is that: the detector 100 has its own artificial intelligence assistance to facilitate the saliva detection of pregnant women; the front end of the detector 100 is provided with a display screen 101 for displaying the test results of the test strip 200, so that it is convenient to use the display screen 101 to observe the test strip 200 for the saliva detection of pregnant women to generate a graphic version of the risk assessment report; a button 102 is provided below the display screen 101; and the data acquisition module 105 can be moved up and down in the detector 105 to facilitate always keeping the data acquisition module 105 in conflict with the test strip 200, so that when the test strip 200 is used to detect the saliva of pregnant women, it can be moved along the data acquisition module 105 moves toward the detector 100, and the output end of the data acquisition module 105 is connected to the input end of the data preprocessing module, and the output end of the data preprocessing module is connected to the input end of the machine learning module and the expert system module, wherein the machine learning module is based on a risk prediction matrix trained on more than 100,000 clinical cases, and the expert system module can analyze the combined effects of 23 GDM-related gene loci; the output end of the machine learning module is connected to the input end of the risk assessment module, and the output end of the risk assessment module is connected to the input end of the expert system module, wherein the risk assessment module can dynamically track changes in indicators during pregnancy; the output end of the expert system module is connected to the input end of the display output module.

[0036] Furthermore, a slide groove 106 for movement of the connecting column 411 is provided at the bottom end of the detector 100, and the slide groove 106 passes through the sealing groove 103; locking holes 107 for cooperating with the locking rod 413 to lock the operating panel 412 are provided on both sides of the slide groove 106; therefore, when it is necessary to predict the genetic risk of diabetes for a pregnant woman, the test strip 200 can be used to test the saliva of the pregnant woman; and the test results are transmitted to the data processing module through the data acquisition module 105. At the same time, with the cooperation of the machine learning module, the risk assessment module and the expert system module, and using the display output module, the situation of the genetic risk of diabetes can be generated into a graphic risk assessment report and displayed on the display screen 101, so that medical staff can know the test results conveniently.

[0037] In one embodiment of the present application, Figure 3 、 Figure 4 and Figure 5As shown, the storage component 320 includes two round rods 321 fixedly installed in the storage groove 104, wherein the cross-section of the storage groove 104 is a stepped groove; the rod body of the round rod 321 is provided with a spring 322 for storing the fixing component 310 in the storage groove 104, so that the test strip 200 in the fixing component 310 can be stored in the storage groove 104 by utilizing the elastic action of the spring 322 on the round rod 321.

[0038] Furthermore, the fixing assembly 310 includes a limiting plate 313 disposed in the receiving slot 104 for upward and downward movement, and limiting blocks 314 for being fitted onto the round rod 321 are fixedly mounted on the front and rear ends of the limiting plate 313 .

[0039] Furthermore, a fixing bar 311 for placing the detection bar 200 is fixedly installed at the bottom end of the limiting plate 1 313, and the detection bar 200 in the fixing bar 311 conflicts with the data acquisition module 105. A cover plate 312 is provided at the bottom end of the fixing bar 311 for fixing the detection bar 200. When the detection bar 200 in the fixing bar 311 needs to be replaced, the bolts on the cover plate 312 can be loosened and removed, and the cover plate 312 can be removed, and then the detection bar 200 in the fixing bar 311 can be replaced; and the replaced detection bar 200 can always keep in contact with the data acquisition module 105. The data acquisition module 105 conflicts with the detection module 105; therefore, when it is necessary to use the detector 100 to predict the genetic risk of diabetes in the saliva of a pregnant woman, the driving component 410 can be used to store the sealing component 420 in the sealing groove 103; and at this time, under the elastic action of the spring 1 322 in a compressed state mounted on the round rod 321, the limiting block 314 can be driven to move downward, and at the same time, the detection strip 200 in the fixed strip 311 can be driven to move out of the storage groove 104; at this time, the data acquisition module 105 can simultaneously follow the fixed strip 311 to move downward and perform diabetes genetic detection on the saliva of the pregnant woman.

[0040] In one embodiment of the present application, Figure 5 、 Figure 6 and Figure 7 As shown, the sealing assembly 420 includes a sealing plate 423 arranged in the sealing groove 103 for sealing the storage groove 104, and a limiting plate 421 for preventing the sealing plate 423 from escaping from the sealing groove 103 is fixedly installed at the left end of the sealing plate 423, and a guide rod 422 for being mounted on the limiting plate 421 is fixedly installed in the sealing groove 103, and there are two guide rods 422, and the two guide rods 422 are symmetrically arranged front to back and pass through the plate body of the limiting plate 421.

[0041] The driving assembly 410 includes a connecting column 411 fixedly mounted at the bottom end of the guide rod 422, and an operating plate 412 for driving the connecting column 411 to move left and right is fixedly mounted at the bottom end of the connecting column 411. A locking rod 413 for locking the operating plate 412 is provided on the plate body of the operating plate 412, and there are two locking rods 413. The two locking rods 413 pass through the operating plate 412 and are threadedly connected to the locking hole 107, so that the operating plate 412 can be locked; therefore, when it is necessary to perform a diabetes genetic test on the saliva of a pregnant woman using the test strip 200 in the fixed strip 311, the two locking rods 413 can be removed from the operating plate 412. Unscrew and remove it, and then drive the operating plate 412 to move the sealing plate 423 into the sealing groove 103, and the limiting plate 2 421 on the sealing plate 423 can move along the guide rod 422 to prevent the sealing plate 423 from deflecting; therefore, the receiving groove 104 can be opened; and at this time, under the elastic action of the spring 1 322 in the compressed state mounted on the round rod 321, the limiting block 314 can be driven to move downward, and at the same time, the detection strip 200 in the fixed strip 311 can be driven to move out of the receiving groove 104; at this time, the data acquisition module 105 can simultaneously follow the fixed strip 311 to move downward and perform diabetes genetic detection on the saliva of pregnant women.

[0042] In one embodiment of the present application, Figure 8 As shown, the second fixing assembly 510 includes a fixing plate 511 fixedly mounted on the rear end of the detector 100 , and a moving groove 512 for allowing the clamping assembly 520 to move forward and backward is opened at the bottom end of the fixing plate 511 .

[0043] Furthermore, the clamping assembly 520 includes a sliding rod 522 fixedly installed in the movable groove 512, and a movable block 521 for moving back and forth is mounted on the rod body of the sliding rod 522, and a clamping plate 524 for cooperating with the fixed plate 511 to fix the detector 100 is fixedly installed at the bottom end of the movable block 521, and a spring 2 523 is mounted on the rod body of the sliding rod 522; therefore, when the detector 100 needs to be fixed, the clamping plate 524 can be driven to move away from the fixed plate 511, and the movable block 521 can move along the sliding rod 522 in the movable groove 512, at this time, the spring 2 523 is in a compressed state, and then the fixed plate 511 is placed on the support plate, and the elastic action of the spring 2 523 can make the cooperation between the fixed plate 511 and the clamping plate 524 fix the detector 100.

[0044] In summary, the embodiment of the present application is a system for predicting the genetic risk of gestational diabetes based on artificial intelligence assistance, so that when it is necessary to test the genetics of diabetes in the saliva of pregnant women, the clamping plate 524 can be driven to move away from the fixed plate 511, and the moving block 521 can move along the sliding rod 522 in the moving groove 512, so that the detector 100 can be removed; then the two locking rods 413 are loosened and removed from the operating plate 412, and then the sealing plate 423 is moved into the sealing groove 103 by driving the operating plate 412, and the limiting plate 2 421 on the sealing plate 423 can move along the guide rod 422 to prevent the sealing plate 423 from deflecting; therefore, the receiving groove 104 can be opened; and at this time, it is sleeved on the round rod 321 Under the elastic action of the spring 322 in the compressed state, the limiting block 314 can be driven to move downward, and at the same time, the detection strip 200 in the fixed bar 311 can be driven to move out of the storage slot 104; at this time, the data acquisition module 105 can simultaneously follow the fixed bar 311 to move downward and perform diabetes genetic test on the saliva of the pregnant woman; the detection strip 200 can be used to test the saliva of the pregnant woman; and the test results are transmitted to the data processing module through the data acquisition module 105. At the same time, with the cooperation of the machine learning module, the risk assessment module and the expert system module, and using the display output module, the diabetes genetic risk situation can be generated into a graphic version of the risk assessment report and displayed on the display screen 101, so that medical staff can know the test results conveniently.

[0045] In the description of this specification, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include at least one of such features. In the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0046] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0047] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and deform the above embodiments within the scope of the present application.

Claims

1. A system for predicting the genetic risk of gestational diabetes mellitus based on artificial intelligence, characterized in that: The invention comprises a detector (100), wherein a detection strip (200) for detecting saliva of a pregnant woman is provided in the detector (100), a receiving device (300) for receiving the detection strip (200) in the detector (100) is provided in the detector (100), a sealing device (400) for sealing the receiving device (300) in the detector (100) is provided in the detector (100), and a fixing device (500) for fixing the sealing device (400) is provided at the rear end of the detector (100); a receiving groove (104) for receiving a fixing component (310) is provided at the bottom end of the detector (100), a data acquisition module (105) for connecting to the detection strip (200) in the fixing component (310) is provided in the receiving groove (104), and a sealing device (420) for sealing the sealing component (420) is provided in the detector (100). ) for receiving the test strip (200); the receiving device (300) includes a fixing component (310) arranged in the receiving groove (104) for fixing the test strip (200), and the receiving groove (104) is provided with a receiving component (320) for receiving the fixing component (310) in the receiving groove (104); the sealing device (400) includes a sealing component (420) arranged in the sealing groove (103) for sealing the receiving groove (104), and the bottom end of the sealing component (420) is provided with a driving component (410) for driving the sealing component (420) to move left and right; the fixing device (500) includes a fixing component (510) fixedly installed at the rear end of the detector (100), and the fixing component (510) is provided with a clamping component (520) for cooperating with the fixing component (510) to fix the detector (100).

2. The system for predicting the genetic risk of gestational diabetes mellitus based on artificial intelligence according to claim 1, characterized in that: The receiving assembly (320) comprises two round rods (321) fixedly mounted in the receiving groove (104), and a spring (322) for receiving the fixing assembly (310) in the receiving groove (104) is mounted on the rod body of the round rod (321).

3. The system for predicting the genetic risk of gestational diabetes mellitus based on artificial intelligence according to claim 2, characterized in that: The fixing assembly (310) includes a limiting plate (313) disposed in the receiving groove (104) for upward and downward movement, and the limiting plate (313) is fixedly mounted with limiting blocks (314) at the front and rear ends thereof for being fitted onto the round rod (321).

4. The system for predicting the genetic risk of gestational diabetes mellitus based on artificial intelligence according to claim 3, characterized in that: A fixing bar (311) for placing the detection bar (200) is fixedly installed at the bottom end of the limiting plate (313), and the detection bar (200) in the fixing bar (311) conflicts with the data acquisition module (105). A cover plate (312) for fixing the detection bar (200) is provided at the bottom end of the fixing bar (311).

5. The system for predicting genetic risk of gestational diabetes mellitus based on artificial intelligence according to claim 1, characterized in that: The sealing assembly (420) includes a sealing plate (423) disposed in the sealing groove (103) for sealing the receiving groove (104); a second limiting plate (421) for preventing the sealing plate (423) from escaping from the sealing groove (103) is fixedly installed at the left end of the sealing plate (423); and a guide rod (422) for being fitted onto the second limiting plate (421) is fixedly installed in the sealing groove (103).

6. The system for predicting the genetic risk of gestational diabetes mellitus based on artificial intelligence according to claim 5, characterized in that: The driving assembly (410) includes a connecting column (411) fixedly mounted on the bottom end of the guide rod (422); an operating plate (412) for driving the connecting column (411) to move left and right is fixedly mounted on the bottom end of the connecting column (411); and a locking rod (413) for locking the operating plate (412) is provided on the plate body of the operating plate (412).

7. The system for predicting genetic risk of gestational diabetes mellitus based on artificial intelligence according to claim 1, characterized in that: The second fixing assembly (510) includes a fixing plate (511) fixedly mounted on the rear end of the detector (100), and a movable groove (512) for allowing the clamping assembly (520) to move forward and backward is provided at the bottom end of the fixing plate (511).

8. The system for predicting the genetic risk of gestational diabetes mellitus based on artificial intelligence according to claim 7, characterized in that: The clamping assembly (520) includes a sliding rod (522) fixedly installed in a movable groove (512); a movable block (521) for moving forward and backward is mounted on the rod body of the sliding rod (522); a clamping plate (524) for cooperating with a fixed plate (511) to fix the detector (100) is fixedly mounted on the bottom end of the movable block (521); and a spring 2 (523) is mounted on the rod body of the sliding rod (522).

9. The system for predicting the genetic risk of gestational diabetes mellitus based on artificial intelligence according to claim 1, characterized in that: The front end of the detector (100) is provided with a display screen (101) for displaying the detection result of the detection strip (200), and a button (102) is provided below the display screen (101).

10. The system for predicting genetic risk of gestational diabetes mellitus based on artificial intelligence according to claim 6, characterized in that: The bottom end of the detector (100) is provided with a slide groove (106) for allowing the connecting column (411) to move, and locking holes (107) for cooperating with the locking rod (413) to lock the operating plate (412) are provided on both sides of the slide groove (106).

Images