Prediction and diagnosis device based on artificial intelligence analysis of chronic disease case data

Abstract

The invention relates to the technical field of chronic disease diagnosis, in particular to a chronic disease case data prediction and diagnosis device based on artificial intelligence analysis, which comprises a medical diagnosis device body, a supporting mechanism is mounted at the bottom of the medical diagnosis device body, a vertical pipe is fixedly connected to the bottom of the supporting mechanism, and a supporting pipe sleeves the bottom of the vertical pipe. A protection box is fixedly connected to the top of the supporting pipe, a box door is connected to the top of the protection box through a rotating shaft, and a display screen, a loudspeaker and keys are embedded in the surface of the medical diagnosis device body. According to the medical diagnosis device, the vertical pipe, the supporting pipe, the protection box and the box door are arranged, the medical diagnosis device body is wrapped in all directions when the medical diagnosis device is not used or carried and transported, touch and scraping of external objects are effectively isolated, the protection performance of the medical diagnosis device body is remarkably improved, the maintenance cost caused by accidental damage is reduced, and the downtime caused by accidental damage is shortened.

Description

Technical Field

[0001] The present invention relates to the technical field of chronic disease diagnosis, and in particular to a predictive diagnosis device for analyzing chronic disease case data using artificial intelligence. Background Art

[0002] Chronic diseases refer to a general term for diseases that are not contagious but have the potential to accumulate over a long period of time to form disease-like damage. If they are not prevented and treated in time, they will cause harm to the economy, life, and other aspects. With the popularization of artificial intelligence, people use artificial intelligence diagnostic devices to diagnose patients with chronic diseases.

[0003] Existing chronic disease predictive diagnostic devices neglect the protection of their external structure, especially the display screen. However, in actual usage scenarios, diagnostic devices not only need to be frequently operated within medical institutions, but may also face various environments such as carrying, transportation, and temporary storage. In these cases, the device's display screen is susceptible to accidental touch, scratches, or even impacts from external objects, causing damage to the display screen, thereby affecting the overall performance and life of the device.

[0004] In order to solve the above technical problems, it is necessary for us to design a predictive diagnosis device based on artificial intelligence analysis of chronic disease case data to solve the above problems. Summary of the Invention

[0005] The purpose of the present invention is to address the problem that the display screen of the existing diagnostic device is easily accidentally touched, scratched or even hit by external objects during transportation and temporary storage, causing damage to the display screen and thus affecting the overall performance and life of the device.

[0006] In order to achieve the above-mentioned purpose of the invention, the present invention provides a predictive diagnosis device based on artificial intelligence analysis of chronic disease case data to improve the above-mentioned problems.

[0007] The specific application is as follows: A predictive diagnosis device based on artificial intelligence analysis of chronic disease case data includes a medical diagnostic device body, a support mechanism is installed at the bottom of the medical diagnostic device body, the bottom of the support mechanism is fixedly connected to a vertical pipe, the bottom of the vertical pipe is sleeved with a support pipe, the top of the support pipe is fixedly connected to a protective box, the top of the protective box is connected to a box door via a rotating shaft, the surface of the medical diagnostic device body is inlaid with a display screen, a speaker and buttons, respectively, the display screen and speaker are electrically connected to a processor, the processor is electrically connected to a case data storage module and an artificial intelligence analysis module, respectively, the processor is electrically connected to a data preprocessing module, and the data preprocessing module is electrically connected to a data acquisition module.

[0008] As a preferred technical solution of the present application, a first threaded rod is connected through the bottom of the vertical tube, a motor is fixedly connected to the bottom of the first threaded rod, and the bottom of the motor is fixedly connected to the bottom of the inner cavity of the support tube.

[0009] As a preferred technical solution of the present application, a spring telescopic rod is fixedly connected to the right side of the protective box, and the top of the spring telescopic rod is movably connected to a limiting block.

[0010] As a preferred technical solution of the present application, the support mechanism includes a connecting plate, which is connected to the vertical pipe through a rotating shaft, and the front and rear sides of the vertical pipe are fixedly connected with connecting plates, and the surface of the connecting plate is provided with a slot, and the surface of the connecting plate is penetrated by a bolt, one end of the bolt penetrates the connecting plate and extends to the inner cavity of the slot, and the bolt is threadedly connected to the connecting plate.

[0011] As a preferred technical solution of the present application, both sides of the vertical tube are fixedly connected with a limit plate, and the surface of the limit plate is in contact with the inner wall of the support tube.

[0012] As a preferred technical solution of the present application, a guide rod is connected through the surface of the limit plate, and the top and bottom of the guide rod are fixedly connected to the inner wall of the support tube.

[0013] As a preferred technical solution of the present application, the bottom of the support tube is fixedly connected to a base plate, and a mounting hole is opened on the surface of the base plate.

[0014] As a preferred technical solution of the present application, the top of the connecting plate is fixedly connected to the sleeve plate, the inner cavity of the sleeve plate is provided with an insert block, the top of the insert block is fixedly connected to the medical diagnostic device body, the surface of the sleeve plate is installed with a clamping mechanism, the clamping mechanism includes a fixed block, the surface of the insert block is provided with a clamping hole, one side of the fixed block is fixedly connected to the sleeve plate, the surface of the fixed block is connected with a second threaded rod, both sides of the surface of the second threaded rod are threadedly provided with a movable plate, the surface of the movable plate is fixedly connected with a clamping block, and the clamping block extends away from the side of the movable plate to the inner cavity of the clamping hole.

[0015] As a preferred technical solution of the present application, the threads on both sides of the surface of the second threaded rod have opposite rotation directions, both ends of the second threaded rod are fixedly connected to knobs, and the second threaded rod is movably connected to the fixed block through a bearing.

[0016] As a preferred technical solution of the present application, the threads on both sides of the surface of the second threaded rod have opposite rotation directions, and both ends of the second threaded rod are fixedly connected to a knob. The second threaded rod is movably connected to the fixed block through a bearing. The processor is electrically connected to a diagnostic result analysis module. The diagnostic result analysis module distinguishes colors and provides warning prompts according to the risk level of the diagnostic result. For high-risk diagnostic results, red is displayed, accompanied by a sound alarm and a pop-up prompt. The diagnostic result analysis module includes the following steps: S. Determine assessment indicators: Based on the characteristics of chronic diseases and clinical experience, determine key indicators for assessing the risk level of diagnostic results. For cardiovascular diseases, blood pressure levels, blood lipids, blood sugar levels, and whether the patient has severe symptoms can be used as assessment indicators; S. Set thresholds: Set different threshold ranges for each evaluation indicator and divide the diagnosis results into different risk levels, which can be divided into three levels: low risk, medium risk and high risk; S. In the diagnosis result presentation interface, set the text, icon, and background color of low-risk diagnosis results to green, use yellow to mark the relevant elements of medium-risk diagnosis results, and set the text, icon, and background color of high-risk diagnosis results to red; S. Set alarm trigger conditions: When the diagnosis result is judged as high risk, the sound alarm will be automatically triggered; S. Pop-up content: When the diagnosis result is high risk, a prompt window will pop up to inform the user of the risk level of the diagnosis result and the emergency measures that need to be taken.

[0017] Compared with the prior art, the present invention has the following beneficial effects: In the scheme of this application: 1. To address the problem in the prior art that the display screen of a diagnostic device is susceptible to accidental touch, scratches, or even impacts from external objects during transportation and temporary storage, resulting in damage to the display screen and, in turn, affecting the overall performance and lifespan of the device, the present application provides a vertical tube, support tube, protective box, and door to fully enclose the medical diagnostic device when not in use or during transportation, effectively isolating it from touch and scratches from external objects. This significantly improves the protective performance of the medical diagnostic device and reduces repair costs and downtime caused by accidental damage. 2. This application uses an artificial intelligence analysis module to deeply identify chronic disease case data. Combined with historical data stored in the case data storage module, it can achieve high-precision disease risk prediction and generate diagnostic recommendations, significantly improving the efficiency and accuracy of clinical decision-making. 3. This application provides a sleeve plate, an insert block, a fixed block, a clamping hole, a second threaded rod, a movable plate and a clamping block, so that the two clamping blocks can be brought close to and separated from each other, and the clamping block can be engaged with the clamping hole, so that the medical diagnostic device body can be fixedly installed. At the same time, the medical diagnostic device body can be disassembled to facilitate its maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a schematic diagram of the overall structure of the predictive diagnosis device based on artificial intelligence analysis of chronic disease case data provided by this application; Figure 2 A schematic side view of the structure of the predictive diagnosis device based on artificial intelligence analysis of chronic disease case data provided by this application; Figure 3 This is a schematic cross-sectional view of the partial structure of the predictive diagnosis device based on artificial intelligence analysis of chronic disease case data provided by this application; Figure 4 Schematic diagram of the supporting structure of the predictive diagnosis device based on artificial intelligence analysis of chronic disease case data provided in this application; Figure 5 A schematic diagram of the slots and bolts of the predictive diagnosis device based on artificial intelligence analysis of chronic disease case data provided by this application; Figure 6 This is a schematic diagram of the exploded set of plates and plug-in blocks of the predictive diagnosis device based on artificial intelligence analysis of chronic disease case data provided by this application; Figure 7 This is a system principle block diagram of the predictive diagnosis device based on artificial intelligence analysis of chronic disease case data provided in this application.

[0019] Indicated in the figure: 1. Medical diagnostic device body; 2. Support mechanism; 201. Connecting plate; 202. Connecting disk; 203. Card slot; 204. Bolt; 3. Vertical pipe; 4. Support pipe; 5. Protective box; 6. Box door; 7. Display screen; 8. Speaker; 9. Button; 10. Processor; 11. Case data storage module; 12. Artificial intelligence analysis module; 13. Data preprocessing module; 14. Data acquisition module; 15. First threaded rod; 16. Motor; 17. Spring telescopic rod; 18. Limit block; 19. Limit plate; 20. Guide rod; 21. Bottom plate; 22. Sleeve plate; 23. Insert block; 24. Card connection mechanism; 240. Fixed block; 241. Card hole; 242. Second threaded rod; 243. Moving plate; 244. Card block; 25. Diagnosis result analysis module. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0021] In order to solve this technical problem, the present invention provides a predictive diagnosis device for chronic disease case data based on artificial intelligence analysis, including a medical diagnostic device body 1, a support mechanism 2 is installed at the bottom of the medical diagnostic device body 1, the bottom of the support mechanism 2 is fixedly connected to a vertical pipe 3, the bottom of the vertical pipe 3 is sleeved with a support tube 4, the top of the support tube 4 is fixedly connected to a protective box 5, and the top of the protective box 5 is connected to a box door 6 through a rotating shaft, the surface of the medical diagnostic device body 1 is respectively inlaid with a display screen 7, a speaker 8 and a button 9, the display screen 7 and the speaker 8 are electrically connected to a processor 10, the processor 10 is respectively electrically connected to a case data storage module 11 and an artificial intelligence analysis module 12, the processor 10 is electrically connected to a data preprocessing module 13, and the data preprocessing module 13 is electrically connected to a data acquisition module 14.

[0022] This application provides a vertical tube 3, a support tube 4, a protective box 5 and a box door 6 to fully wrap the medical diagnostic device body 1 when not in use or during transportation, effectively isolating it from touch and scratches from external objects, significantly improving the protective performance of the medical diagnostic device body 1, and reducing the maintenance cost and downtime caused by accidental damage.

[0023] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.

[0024] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features and technical solutions therein may be combined with each other.

[0025] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not require further definition or explanation in subsequent drawings.

[0026] Example 1, please refer to Figure 1 、 Figure 2 、 Figure 3 、 Figure 4 、 Figure 5 and Figure 7, a predictive diagnosis device based on artificial intelligence analysis of chronic disease case data, including a medical diagnostic device body 1, a support mechanism 2 is installed at the bottom of the medical diagnostic device body 1, the bottom of the support mechanism 2 is fixedly connected to a vertical pipe 3, the bottom of the vertical pipe 3 is sleeved with a support pipe 4, the top of the support pipe 4 is fixedly connected to a protective box 5, the top of the protective box 5 is connected to a box door 6 through a rotating shaft, the surface of the medical diagnostic device body 1 is respectively inlaid with a display screen 7, a speaker 8 and a button 9, the display screen 7 and the speaker 8 are electrically connected to a processor 10, the processor 10 is electrically connected to a case data storage module 11 and an artificial intelligence analysis module 12, the processor 10 is electrically connected to a data preprocessing module 13, the data preprocessing module 13 is electrically connected to a data acquisition module 14, the processor 10. The case data storage module 11, the artificial intelligence analysis module 12, the data preprocessing module 13 and the data acquisition module 14 are all installed inside the medical diagnostic device body 1. The chronic disease case data is deeply identified by the artificial intelligence analysis module 12. Combined with the historical data stored in the case data storage module 11, high-precision disease risk prediction and diagnosis suggestion generation can be achieved, which significantly improves the efficiency and accuracy of clinical decision-making. By providing the vertical pipe 3, the support pipe 4, the protective box 5 and the box door 6, the medical diagnostic device body 1 is fully wrapped when not in use or during transportation, effectively isolating it from touch and scratches by external objects, significantly improving the protection performance of the medical diagnostic device body 1, and reducing the maintenance cost and downtime caused by accidental damage.

[0027] A first threaded rod 15 is connected to the bottom of the vertical tube 3, and a motor 16 is fixedly connected to the bottom of the first threaded rod 15. The bottom of the motor 16 is fixedly connected to the bottom of the inner cavity of the support tube 4. By arranging the motor 16, the first threaded rod 15 and the vertical tube 3, the medical diagnostic device body 1 can be moved vertically, and the support height of the medical diagnostic device body 1 can be adjusted, which is convenient for the user to operate the medical diagnostic device body 1 and at the same time convenient for moving the medical diagnostic device body 1 to the inner cavity of the protective box 5 for storage.

[0028] A spring telescopic rod 17 is fixedly connected to the right side of the protective box 5, and the top of the spring telescopic rod 17 is movably connected to a limit block 18. By setting the spring telescopic rod 17 and the limit block 18, after the box door 6 is closed, the box door 6 can be limited and supported, thereby improving the stability of the box door 6.

[0029] The supporting mechanism 2 includes a connecting plate 201, which is connected to the vertical tube 3 via a rotating shaft. The front and rear sides of the vertical tube 3 are fixedly connected with connecting plates 202. A slot 203 is provided on the surface of the connecting plate 202. A bolt 204 is passed through the surface of the connecting plate 201. One end of the bolt 204 passes through the connecting plate 201 and extends to the inner cavity of the slot 203. The bolt 204 is threadedly connected to the connecting plate 201. By arranging the connecting plate 201, the connecting plate 202, the slot 203 and the bolt 204, after adjusting the inclination angle of the medical diagnostic device body 1, the medical diagnostic device body 1 is locked and fixed, thereby enhancing its stability, improving the flexibility of the medical diagnostic device body 1, and facilitating operation and viewing by the user.

[0030] Limiting plates 19 are fixedly connected to both sides of the vertical pipe 3. The surface of the limiting plates 19 contacts the inner wall of the support pipe 4. By setting the limiting plates 19, the vertical movement distance of the vertical pipe 3 is limited to prevent the vertical pipe 3 from separating from the support pipe 4.

[0031] A guide rod 20 is connected to the surface of the limit plate 19, and the top and bottom of the guide rod 20 are fixedly connected to the inner wall of the support tube 4. By setting the guide rod 20, the limit plate 19 is guided to facilitate the vertical movement of the limit plate 19.

[0032] The bottom of the support tube 4 is fixedly connected to a bottom plate 21 , and a mounting hole is provided on the surface of the bottom plate 21 . By providing the bottom plate 21 and the mounting hole, the bottom of the support tube 4 is supported, making it easier to fix and install it.

[0033] Example 2 further optimizes the prediction and diagnosis device based on artificial intelligence analysis of chronic disease case data provided in Example 1. Specifically, Figure 6 and Figure 7 As shown, the top of the connecting plate 201 is fixedly connected to the sleeve plate 22, the inner cavity of the sleeve plate 22 is provided with an insert block 23, the top of the insert block 23 is fixedly connected to the medical diagnostic device body 1, and the surface of the sleeve plate 22 is installed with a clamping mechanism 24, the clamping mechanism 24 includes a fixed block 240, and the surface of the insert block 23 is provided with a clamping hole 241. One side of the fixed block 240 is fixedly connected to the sleeve plate 22, and the surface of the fixed block 240 is connected with a second threaded rod 242, and both sides of the surface of the second threaded rod 242 are threadedly sleeved with a movable plate 243, and the surface of the movable plate 243 is fixedly connected with a clamping block 244, and the clamping block 244 extends away from the side of the movable plate 243 to the inner cavity of the clamping hole 241.

[0034] By arranging the sleeve plate 22, the insert block 23, the fixed block 240, the clamping hole 241, the second threaded rod 242, the movable plate 243 and the clamping block 244, the two clamping blocks 244 can be brought close to and separated from each other, and the clamping blocks 244 are clamped with the clamping holes 241, so that the medical diagnostic device body 1 can be fixedly installed, and the medical diagnostic device body 1 is conveniently disassembled and repaired.

[0035] The threads on both sides of the second threaded rod 242 rotate in opposite directions. Knobs are fixedly connected to both ends of the second threaded rod 242. The second threaded rod 242 is movably connected to the fixed block 240 through a bearing.

[0036] By providing a knob, the contact area with the handheld is increased, which facilitates the rotation of the second threaded rod 242. By providing a bearing, the second threaded rod 242 is supported, which facilitates the stable rotation of the second threaded rod 242.

[0037] The processor 10 is electrically connected to a diagnostic result analysis module 25. The diagnostic result analysis module 25 distinguishes colors and provides warning prompts according to the risk level of the diagnostic results. For high-risk diagnostic results, red is displayed, accompanied by a sound alarm and a pop-up window prompt. The model of the processor 10 is i5-6200u. The diagnostic result analysis module 25 includes the following steps: S1. Determine the evaluation indicators: Based on the characteristics of chronic diseases and clinical experience, determine the key indicators for assessing the risk level of diagnostic results. For cardiovascular diseases, blood pressure levels such as systolic and diastolic blood pressure, blood lipid indicators such as total cholesterol and low-density lipoprotein cholesterol, blood sugar levels such as fasting blood sugar and glycosylated hemoglobin, and whether the patient has severe symptoms such as chest pain and dyspnea can be used as evaluation indicators. S2. Set thresholds: Set different threshold ranges for each evaluation indicator and divide the diagnosis results into different risk levels, which can be divided into three levels: low risk, medium risk and high risk; Taking blood pressure as an example, systolic blood pressure of 120-139 mmHg and diastolic blood pressure of 80-89 mmHg can be considered low risk; systolic blood pressure of 140-159 mmHg and diastolic blood pressure of 90-99 mmHg are medium risk; systolic blood pressure ≥160 mmHg and diastolic blood pressure ≥100 mmHg are high risk. This is a comprehensive assessment of multiple indicators.

[0038] S3. In the diagnosis result presentation interface, set the text, icon, and background color of the low-risk diagnosis result to green, use yellow to mark the relevant elements of the medium-risk diagnosis result, and set the text, icon, and background color of the high-risk diagnosis result to red; S4. Set alarm trigger conditions: When the diagnosis result is judged to be high risk, the sound alarm is automatically triggered; When a high-risk indicator is detected, the sound playback function is called to play the preset alarm sound.

[0039] S5. Pop-up content: When the diagnosis result is high risk, a prompt window will pop up to inform the user of the risk level of the diagnosis result and the emergency measures that need to be taken.

[0040] The pop-up title can be displayed as "High-risk diagnosis result warning", and the main content can be written as "Your diagnosis result shows that you are at high risk for [specific chronic disease name]. It is recommended that you seek medical attention immediately for further examination and treatment.

[0041] The use process of the predictive diagnosis device based on artificial intelligence analysis of chronic disease case data provided by the present invention is as follows: The case data storage module 11 pre-stores multi-source data, such as patient medical history, test results, and images. The patient's case symptoms are collected by the data acquisition module 14, processed by the data pre-processing module 13, and then sent to the processor 10. The artificial intelligence analysis module 12 compares and analyzes the collected data with the data in the case data storage module 11, and determines the patient's case symptoms. Combined with the historical data of the case data storage module 11, disease risk prediction and diagnosis suggestions are generated; The rotating bolt 204 is threadedly connected to the connecting plate 201, so that one end of the bolt 204 is away from the slot 203, and the medical diagnostic device body 1 is rotated to a horizontal state. By controlling the operation of the motor 16 to drive the first threaded rod 15 to rotate, the first threaded rod 15 threads drive the vertical pipe 3 to move downward, and the vertical pipe 3 drives the connecting plate 201 and the medical diagnostic device body 1 to move downward, and the medical diagnostic device body 1 is moved into the inner cavity of the protective box 5. The box door 6 is closed, and the rotating limit block 18 is placed on the top of the box door 6 to limit and support the box door 6, thereby protecting and storing the medical diagnostic device body 1; The second threaded rod 242 is rotated to move the movable plate 243 , and the movable plate 243 drives the clamping block 244 to move, so that the clamping block 244 is separated from the clamping hole 241 , thereby allowing the medical diagnostic device body 1 to be disassembled.

[0042] In the present invention, unless otherwise specified or limited, the terms "installed," "connected," "connect," "fixed," etc. should be understood in a broad sense. For example, they can refer to fixed connection, detachable connection, or integration; mechanical connection, electrical connection, or communication; direct connection or indirect connection through an intermediate medium; internal communication between two elements or interaction between two elements, unless otherwise specified. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0043] Obviously, the embodiments described above are only some embodiments of the present invention, rather than all embodiments. The preferred embodiments of the present invention are given in the accompanying drawings, but they do not limit the patent scope of the present invention. The present invention can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive. Although the present invention has been described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions described in the aforementioned specific embodiments, or to make equivalent replacements for some of the technical features therein. Any equivalent structure made using the contents of the present invention specification and drawings, directly or indirectly used in other related technical fields, is also within the scope of patent protection of the present invention.

Claims

1. A predictive diagnostic device based on artificial intelligence analysis of chronic disease case data, characterized by: The invention comprises a medical diagnostic device body (1), wherein a support mechanism (2) is installed at the bottom of the medical diagnostic device body (1), a vertical tube (3) is fixedly connected to the bottom of the support mechanism (2), a support tube (4) is sleeved on the bottom of the vertical tube (3), a protective box (5) is fixedly connected to the top of the support tube (4), and a box door (6) is connected to the top of the protective box (5) via a rotating shaft. A display screen (7), a loudspeaker (8) and a button (9) are respectively inlaid on the surface of the medical diagnostic device body (1), the display screen (7) and the loudspeaker (8) are electrically connected to a processor (10), the processor (10) is electrically connected to a case data storage module (11) and an artificial intelligence analysis module (12), the processor (10) is electrically connected to a data preprocessing module (13), and the data preprocessing module (13) is electrically connected to a data acquisition module (14).

2. The predictive diagnosis device based on artificial intelligence analysis of chronic disease case data according to claim 1, characterized in that: A first threaded rod (15) is connected through the bottom of the vertical tube (3), a motor (16) is fixedly connected to the bottom of the first threaded rod (15), and the bottom of the motor (16) is fixedly connected to the bottom of the inner cavity of the support tube (4).

3. The predictive diagnosis device based on artificial intelligence analysis of chronic disease case data according to claim 2, characterized in that: A spring telescopic rod (17) is fixedly connected to the right side of the protection box (5), and the top of the spring telescopic rod (17) is movably connected to a limiting block (18).

4. The predictive diagnosis device based on artificial intelligence analysis of chronic disease case data according to claim 3, characterized in that: The support mechanism (2) comprises a connecting plate (201), wherein the connecting plate (201) is connected to the vertical tube (3) via a rotating shaft, and the front and rear sides of the vertical tube (3) are fixedly connected to connecting plates (202), and a clamping groove (241203) is provided on the surface of the connecting plate (202). A bolt (204) is passed through the surface of the connecting plate (201), and one end of the bolt (204) passes through the connecting plate (201) and extends to the inner cavity of the clamping groove (241203), and the bolt (204) is threadedly connected to the connecting plate (201).

5. The predictive diagnosis device based on artificial intelligence analysis of chronic disease case data according to claim 4, characterized in that: Both sides of the vertical tube (3) are fixedly connected to a limiting plate (19), and the surface of the limiting plate (19) contacts the inner wall of the support tube (4).

6. The predictive diagnosis device based on artificial intelligence analysis of chronic disease case data according to claim 5, characterized in that: A guide rod (20) is connected through the surface of the limiting plate (19), and the top and bottom of the guide rod (20) are fixedly connected to the inner wall of the support tube (4).

7. The predictive diagnosis device based on artificial intelligence analysis of chronic disease case data according to claim 6, characterized in that: The bottom of the support tube (4) is fixedly connected to a bottom plate (21), and a mounting hole is provided on the surface of the bottom plate (21).

8. The predictive diagnosis device based on artificial intelligence analysis of chronic disease case data according to claim 7, characterized in that: The top of the connecting plate (201) is fixedly connected to a sleeve plate (22), an inner cavity of the sleeve plate (22) is provided with an insert block (23), the top of the insert block (23) is fixedly connected to the medical diagnostic device body (1), and a clamping mechanism (24) is installed on the surface of the sleeve plate (22), the clamping mechanism (24) comprises a fixed block (240), a clamping hole (241) is provided on the surface of the insert block (23), one side of the fixed block (240) is fixedly connected to the sleeve plate (22), a second threaded rod (242) is passed through the surface of the fixed block (240), both sides of the surface of the second threaded rod (242) are threadedly provided with a movable plate (243), a clamping block (244) is fixedly connected to the surface of the movable plate (243), and the clamping block (244) extends away from one side of the movable plate (243) to the inner cavity of the clamping hole (241).

9. The predictive diagnosis device based on artificial intelligence analysis of chronic disease case data according to claim 8, characterized in that: The threads on both sides of the surface of the second threaded rod (242) rotate in opposite directions, and knobs are fixedly connected to both ends of the second threaded rod (242). The second threaded rod (242) is movably connected to the fixed block (240) via a bearing.

10. The predictive diagnosis device based on artificial intelligence analysis of chronic disease case data according to claim 9, characterized in that: The processor (10) is electrically connected to a diagnosis result analysis module (25), and the diagnosis result analysis module (25) performs color differentiation and warning prompts according to the risk level of the diagnosis result. For high-risk diagnosis results, red is displayed, accompanied by a sound alarm and a pop-up window prompt. The diagnosis result analysis module (25) includes the following steps: S1. Determine the evaluation indicators: Based on the characteristics of chronic diseases and clinical experience, determine the key indicators for assessing the risk level of diagnostic results. For cardiovascular diseases, blood pressure levels, blood lipids, blood sugar levels, and whether the patient has severe symptoms can be used as evaluation indicators; S2. Set thresholds: Set different threshold ranges for each evaluation indicator and divide the diagnosis results into different risk levels, which can be divided into three levels: low risk, medium risk and high risk; S3. In the diagnosis result presentation interface, set the text, icon, and background color of the low-risk diagnosis result to green, use yellow to mark the relevant elements of the medium-risk diagnosis result, and set the text, icon, and background color of the high-risk diagnosis result to red; S4. Set alarm trigger conditions: When the diagnosis result is judged to be high risk, the sound alarm is automatically triggered; S5. Pop-up content: When the diagnosis result is high risk, a prompt window will pop up to inform the user of the risk level of the diagnosis result and the emergency measures that need to be taken.

Images