State information prediction method and device, electronic equipment and storage medium

Abstract

The invention discloses a state information prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of medical treatment. The method comprises the steps that computer equipment collects current physiological information of a person under guardianship and obtains behavior information, historical physiological information and emotion information of the person under guardianship in a target time period, and the target time period is a preset time period before the state of the person under guardianship is abnormal; and the computer equipment predicts state information of the person under guardianship according to the behavior information, the current physiological information, the historical physiological information and the emotion information. In the method provided by the invention, the computer equipment acquires the information associated with the physical state of the person under guardianship to predict the state information, so that the accuracy of the state information can be improved.

Description

Technical Field

[0001] The present application belongs to the field of medical technology, and specifically relates to a state information prediction method, device, electronic device and storage medium. Background Art

[0002] In modern society, people have an increasing need to understand their physical condition, such as health status. Generally speaking, people can only make certain inferences about their physical condition based on their own feelings, but the accuracy of the results obtained by this inference method is low. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide a state information prediction method, device, electronic device and storage medium, which can solve the problem of low accuracy of the results obtained by the existing method of estimating the body state.

[0004] In a first aspect, an embodiment of the present application provides a state information prediction method, the method comprising:

[0005] The computer device collects the current physiological information of the ward and obtains the behavioral information, historical physiological information and emotional information of the ward within a target time period, wherein the target time period is a preset time period before the ward becomes abnormal;

[0006] The computer device predicts the status information of the guardian based on the behavior information, the current physiological information, the historical physiological information and the emotional information.

[0007] In a second aspect, an embodiment of the present application provides a state information prediction device, which is applied to a computer device, and the device includes:

[0008] A collection module, used to collect the current physiological information of the ward and obtain the behavior information, historical physiological information and emotional information of the ward within a target time period, wherein the target time period is a preset time period before the ward becomes abnormal;

[0009] The first prediction module is used to predict the status information of the guardian based on the behavior information, the current physiological information, the historical physiological information and the emotional information.

[0010] In a third aspect, an embodiment of the present application provides an electronic device, comprising a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the steps of the state information prediction method described in the first aspect.

[0011] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the state information prediction method described in the first aspect are implemented.

[0012] According to a fifth aspect, a computer program product is provided, comprising computer instructions, which, when executed by a processor, implement the steps of the state information prediction method as described in the first aspect.

[0013] In an embodiment of the present application, a computer device is used to collect the current physiological information of the ward, as well as historical physiological information, behavioral information, emotional information, and other information related to the physical state of the ward within a target time period, and the state information of the ward is predicted based on the above information. Since the computer device collects information related to the physical state of the ward to predict the state information, the accuracy of the state information can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0015] Figure 1 A schematic diagram of a flow chart of a state information prediction method provided in an embodiment of the present application;

[0016] Figure 2 A schematic diagram of the structure of a state information prediction device provided in an embodiment of the present application;

[0017] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0019] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0020] The following describes in detail the state information prediction method provided by the embodiment of the present application through specific embodiments and their application scenarios in conjunction with the accompanying drawings.

[0021] like Figure 1 FIG. 1 is a flow chart of a state information prediction method provided in an embodiment of the present application, which specifically includes the following steps:

[0022] Step 101, the computer device collects the current physiological information of the ward and obtains the behavior information, historical physiological information and emotional information of the ward within a target time period, wherein the target time period is a preset time period before the ward has an abnormal state;

[0023] Step 102: The computer device predicts the status information of the guardian based on the behavior information, the current physiological information, the historical physiological information and the emotional information.

[0024] It should be noted that the computer devices mentioned in the embodiments of the present application include devices for processing, transmitting, and storing digital information in a digital technology environment, and these devices are not limited to computers in the traditional sense. In this embodiment, the computer device has the function of collecting physiological information, behavioral information, emotional information of the guardian and processing this information.

[0025] In step 101, the computer device continuously collects physiological information, behavioral information and emotional information of the ward during operation, and stores the collected information. Physiological information includes physiological parameters such as body temperature, blood pressure, heart rate, etc. Behavioral information is used to indicate the ward's body movements. Emotional information is used to indicate the ward's emotional state.

[0026] In step 102, the state information may be determined by pre-establishing a data table, which includes physiological information, behavioral information, emotional information, state information, and the corresponding relationship between physiological information, behavioral information, emotional information, and state information. After the computer device obtains the current physiological information, historical physiological information, behavioral information, and emotional information of the guardian, it obtains the state information of the guardian through the corresponding relationship between the above information and the state information.

[0027] It should be emphasized that the status information cannot be used to directly indicate the health status of the ward, but is used as auxiliary reference information. Optionally, the status information is a probability value used to indicate whether the ward's physical condition is healthy. For example, if the status information is 0.8, then it can be considered that the probability of the ward's physical condition being healthy is relatively high. For example, if the status information is 0.2, then it can be considered that the probability of the ward's physical condition being healthy is relatively low. Status information can assist doctors in judging the health status of the ward and improve the accuracy of the diagnosis results, but status information cannot directly indicate the diagnosis results or health status.

[0028] In this embodiment, the current physiological information of the ward is collected by a computer device, as well as historical physiological information, behavioral information, emotional information and other information related to the physical state of the ward within a target time period, and the state information of the ward is predicted based on the above information. Since the computer device collects information related to the physical state of the ward to predict the state information, the accuracy of the state information can be improved.

[0029] Optionally, the emotional information is determined based on at least one of facial expression information and recording information of the ward within the target time period.

[0030] In this embodiment, the computer device can obtain facial expression changes of the guardian through a high-definition camera, that is, expression information. The computer device can record the voice of the guardian through a built-in microphone, that is, recording information.

[0031] The emotional information of the guardian can be determined through the expression information, which can be specifically determined in the following manner: pre-establishing a correspondence table between image vectors and human emotions (angry, happy, sad, etc.), and then, when analyzing a certain expression information, obtaining a target image vector corresponding to the certain expression information through image recognition technology, performing a similarity analysis between the target image vector and the image vector in the correspondence table, finding the image vector with the highest similarity in the correspondence table, and determining the emotion corresponding to the image vector with the highest similarity as the emotional information corresponding to the expression information;

[0032] Alternatively, obtain a number of expression information training data, and use the human emotions corresponding to the expression information as labels to train the neural network model to obtain an expression-emotion analysis model. In the subsequent process, you only need to input the expression information into the expression-emotion analysis model to obtain the corresponding emotion information.

[0033] The method of determining the guardian's emotional information through recording information is similar to the method of determining emotional information through facial expressions, which can be:

[0034] A correspondence table between text vectors and emotional information is established in advance. Later, when analyzing the recording information, a target text vector corresponding to the recording information is obtained through speech recognition and natural language processing technology, and the text vector with the highest similarity to the target text vector is found from the correspondence table, and the emotional information corresponding to the text vector with the highest similarity is used as the emotional information corresponding to the recording information;

[0035] Alternatively, a number of recording information training data are obtained, and the human emotions corresponding to the recording information are used as labels to train the neural network model to obtain a recording-emotion analysis model. Subsequently, the recording-emotion analysis module can be used to obtain the emotion information corresponding to the recording information.

[0036] In addition, the emotional information obtained by analyzing the facial expression information and the emotional information obtained by analyzing the recording information can be combined to obtain the emotional information of the guardian after comprehensive analysis, which can improve the accuracy of the emotional information of the guardian.

[0037] In this embodiment, the emotional information of the guardian is obtained by collecting the facial expression information or recording information of the guardian, or analyzing the facial expression information, or analyzing the recording information, or conducting a comprehensive analysis of the facial expression information and the recording information. This can improve the accuracy of the emotional information, thereby improving the accuracy of the status information predicted based on the physiological information, behavioral information, and emotional information.

[0038] Optionally, the obtaining of the behavior information, historical physiological information, and emotional information of the ward within the target time period includes at least one of the following:

[0039] The computer device acquires the behavior information, historical physiological information and emotional information of the ward within a first preset time period before the current physiological information is collected, when the current physiological information exceeds the preset index, wherein the target time period is the first preset time period before the computer device collects the current physiological information;

[0040] When receiving the voice information input by the ward, the computer device obtains the behavioral information, historical physiological information and emotional information of the ward within a second preset time period before the ward inputs the voice information, wherein the voice information is used to indicate the content of the ward's description of his or her own status, and the target time period is the second preset time period before the ward inputs the voice information.

[0041] In this embodiment, the computer device can predict the state information of the ward under specific circumstances. The specific circumstances may be: the current physiological information exceeds the preset index. It should be noted that the physiological information may include physiological parameters such as body temperature, blood pressure, heart rate, etc. Different physiological parameters have corresponding normal range values. When the value of any physiological parameter contained in the current physiological information exceeds the normal range value corresponding to the physiological parameter, it can be regarded that the current physiological information exceeds the preset index. In this case, the computer device obtains the behavior information, historical physiological information and emotional information of the ward in the first preset time period before collecting the current physiological information, and predicts the state information of the ward based on this information and the current physiological information.

[0042] The specific situation may also be: receiving voice information input by the ward, and it should be noted that the voice information is used to indicate the content of the ward's description of his or her own condition, such as his or her own illness. In this case, the computer device obtains the behavior information, historical physiological information, and emotional information of the ward within the second preset time period before receiving the voice information, and predicts the ward's status information in combination with the current physiological information and voice information.

[0043] In this embodiment, when the current physiological information exceeds the preset index or the computer device receives voice information about the guardian's own condition, it obtains the historical physiological information, behavioral information, and emotional information of the guardian within the target time period, and predicts the guardian's state information based on this information. Compared with the method in which the computer device continuously collects the guardian's physiological information, behavioral information, and emotional information, and continuously predicts the state information, in the method in this embodiment, the computer device predicts the guardian's state information only when the current physiological information exceeds the preset index or the guardian inputs voice information about his own condition, that is, when the guardian has a subjective or objective abnormal physical condition, which can save the resources of the computer device.

[0044] In an optional embodiment, the first preset time period and the second preset time period are of the same length.

[0045] Optionally, after the computer device predicts the state information of the ward according to the behavior information, the current physiological information, the historical physiological information, and the emotional information, the method further includes:

[0046] The computer device acquires the behavior information, historical physiological information and emotional information of the ward within a third preset time period after obtaining the status information;

[0047] The computer device updates the status information of the ward according to the behavior information, historical physiological information and emotional information of the ward within a third preset time period after obtaining the status information.

[0048] In this embodiment, after obtaining the status information, the computer device obtains the behavior information, historical physiological information and emotional information of the guardian collected and stored in the third preset time period after a third preset time period, and predicts the status information of the guardian again based on this information to update the status information of the guardian. It can be understood that the status information predicted by the computer device last time is obtained based on the behavior information, historical physiological information and emotional information of the guardian collected in the target time period, and the target time period is the preset time period before the guardian has an abnormal state, that is, only when the guardian has an abnormal state, the computer device will predict the status information of the guardian, and in this embodiment, after the third preset time period, the computer device will automatically predict the status information of the guardian again without the guardian having an abnormal state again, so that the guardian's state changes can be understood in time to avoid further deterioration of the guardian's state.

[0049] Optionally, after the computer device collects the current physiological information of the ward and obtains the behavioral information, historical physiological information and emotional information of the ward within the target time period, the method further includes:

[0050] The computer device obtains the case information and medication information of the ward, wherein the case information is used to indicate the diagnosis result of the ward's condition, and the medication information is used to indicate the name, usage and dosage of the medicine corresponding to the case information;

[0051] The computer device predicts the state information of the guardian according to the behavior information, the current physiological information, the historical physiological information and the emotional information, including:

[0052] The computer device predicts the status information of the guardian based on the case information, the medication information, the behavior information, the current physiological information, the historical physiological information and the emotional information.

[0053] In this embodiment, if the ward has been diagnosed with a certain disease within the fourth preset time period (for example, one week) before the computer device obtains the ward's behavior information, historical physiological information and emotional information within the target time period, that is, within one week before the status information prediction, the ward has been confirmed to be ill by a doctor's examination, the computer device will also obtain the ward's case information and medication information, and predict the ward's status information based on the case information, the medication information, the behavior information, the current physiological information, the historical physiological information and the emotional information. Since the prediction of the status information in this embodiment is also combined with the case information and medication information, the accuracy of the status information can be further improved.

[0054] Optionally, the computer device predicts the state information of the ward according to the case information, the medication information, the behavior information, the current physiological information, the historical physiological information and the emotional information, including:

[0055] The computer device inputs the case information, the medication information, the behavior information, the current physiological information, the historical physiological information and the emotional information into a pre-trained analysis model to predict the status information of the guardian.

[0056] In this embodiment, before predicting the state information of the ward, several training data and training labels corresponding to the training data are obtained, each training data includes case information, medication information, behavior information, physiological information and emotional information, and the training label is the state parameter of the ward corresponding to the training data, and the state parameter is scored by experts and takes a value of 0-1. The analysis model is trained according to the training data and training labels to obtain a pre-trained analysis model. Afterwards, the medication information, the behavior information, the current physiological information, the historical physiological information and the emotional information are input into the pre-trained analysis model, and the state information of the ward can be predicted. Since the model deep learning algorithm is used to perform fusion analysis on multi-source data, the accuracy of the state information can be further improved.

[0057] Optionally, after the computer device inputs the case information, the medication information, the behavior information, the current physiological information, the historical physiological information and the emotional information into a pre-trained analysis model to predict the state information of the ward, the method further includes:

[0058] The computer device predicts the development trend of the disease condition of the ward based on the case information, the medication information and the status information of the ward.

[0059] In this embodiment, the disease development trend is not a determined result such as "the disease will get better" or "the disease will get worse", but a probability value similar to the state information output by the computer device. For example, if the value of the disease development trend is 0.9, it can be considered that the probability of the disease will get better, and if the value of the disease development trend is 0.3, it can be considered that the probability of the disease will get worse. After the computer device obtains the state information and the disease development trend, the computer device can display the state information and the disease development trend, or send the state information and the disease development trend to a terminal associated with a doctor, so that the doctor can refer to the state information and the disease development trend to determine the diagnosis result or health status of the guardian, so as to improve the accuracy of the diagnosis result or health status.

[0060] In addition, in an optional implementation, the computer device can also provide further treatment and medical advice based on the status information and disease development trends, such as adjusting medication dosage, changing medications, adjusting lifestyle habits, etc.

[0061] In the state information prediction method provided in the embodiment of the present application, the computer device collects and stores the physiological information, emotional information, and behavioral information of the ward, and when the ward's state is abnormal, the ward's state information is predicted based on the ward's physiological information, emotional information, and behavioral information in the target time period to improve the accuracy of the state information. It should be emphasized again that the state information is not a direct diagnosis result or health status, but a probability value used to assist doctors in truly determining the diagnosis result or health status.

[0062] like Figure 2 As shown, the embodiment of the present application further provides a state information prediction device, which is applied to a computer device. The state information prediction device 200 includes:

[0063] The collection module 201 is used to collect the current physiological information of the ward and obtain the behavior information, historical physiological information and emotional information of the ward within a target time period, wherein the target time period is a preset time period before the ward has an abnormal state;

[0064] The first prediction module 202 is used to predict the state information of the guardian based on the behavior information, the current physiological information, the historical physiological information and the emotional information.

[0065] Optionally, the emotional information is determined based on at least one of facial expression information and recording information of the ward within the target time period.

[0066] Optionally, the acquisition module 201 is further used for:

[0067] When the current physiological information exceeds the preset index, the behavior information, historical physiological information and emotional information of the guardian within a first preset time period before the current physiological information is collected are obtained, wherein the target time period is the first preset time period before the state information prediction device collects the current physiological information;

[0068] When receiving voice information input by the ward, the behavioral information, historical physiological information and emotional information of the ward within a second preset time period before the ward inputs the voice information is obtained, wherein the voice information is used to indicate the content of the ward's description of his or her own status, and the target time period is the second preset time period before the ward inputs the voice information.

[0069] Optionally, the state information prediction device 200 further includes:

[0070] A first acquisition module, used to acquire the behavior information, historical physiological information and emotional information of the guardian within a third preset time period after the status information is obtained;

[0071] An updating module is used to update the status information of the guardian based on the behavior information, historical physiological information and emotional information of the guardian within a third preset time period after the status information is obtained.

[0072] Optionally, the state information prediction device 200 further includes:

[0073] A second acquisition module is used to acquire the case information and medication information of the ward, wherein the case information is used to indicate the diagnosis result of the ward's condition, and the medication information is used to indicate the name, usage and dosage of the medicine corresponding to the case information;

[0074] The first prediction module 202 is further configured to:

[0075] The status information of the guardian is predicted based on the case information, the medication information, the behavior information, the current physiological information, the historical physiological information and the emotional information.

[0076] Optionally, the first prediction module 202 is further configured to:

[0077] The case information, the medication information, the behavior information, the current physiological information, the historical physiological information and the emotional information are input into a pre-trained analysis model to predict the status information of the guardian.

[0078] Optionally, the state information prediction device 200 further includes:

[0079] The second prediction module is used to predict the development trend of the disease condition of the ward based on the case information, the medication information and the status information of the ward.

[0080] It should be noted that the state information prediction device 200 provided in the embodiment of the present application can achieve the following Figure 1 The entire technical process of the state information prediction method shown in the embodiment achieves the same technical effect and will not be described again here to avoid repetition.

[0081] The embodiment of the present application also provides an electronic device, comprising: a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program is executed by the processor to implement the above Figure 1 The various processes of the method embodiment shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0082] For details, see Figure 3 As shown, an embodiment of the present application further provides an electronic device, including a bus 301 , a transceiver 302 , an antenna 303 , a bus interface 304 , a processor 305 and a memory 306 .

[0083] In this embodiment, the electronic device further includes: a computer program stored in the memory 306 and executable on the processor 305. When the computer program is executed by the processor 305, the following can be achieved: Figure 1 The various processes of the state information prediction method shown in the embodiment can achieve the same technical effect, and will not be described again here to avoid repetition.

[0084] exist Figure 3 In the embodiment, the bus architecture (represented by bus 301) is shown, and bus 301 may include any number of interconnected buses and bridges, and bus 301 links various circuits including one or more processors represented by processor 305 and memory represented by memory 306. Bus 301 may also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. Bus interface 304 provides an interface between bus 301 and transceiver 302. Transceiver 302 may be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. Data processed by processor 305 is transmitted on a wireless medium via antenna 303, and further, antenna 303 also receives data and transmits the data to processor 305.

[0085] The processor 305 is responsible for managing the bus 301 and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management and other control functions. The memory 306 can be used to store data used by the processor 305 when performing operations.

[0086] Optionally, the processor 305 may be a CPU, an ASIC, an FPGA or a CPLD.

[0087] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the above Figure 1 The various processes of the state information prediction method embodiment can achieve the same technical effect, and are not described here to avoid repetition. The computer-readable storage medium is, for example, a ROM, RAM, a magnetic disk or an optical disk.

[0088] The present application also provides a computer program product, including computer instructions, which, when executed by a processor, implement the above Figure 1 The various processes of the state information prediction method embodiment shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0089] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0090] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0091] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A state information prediction method, characterized in that: The method comprises: The computer device collects the current physiological information of the ward and obtains the behavioral information, historical physiological information and emotional information of the ward within a target time period, wherein the target time period is a preset time period before the ward becomes abnormal; The computer device predicts the status information of the guardian based on the behavior information, the current physiological information, the historical physiological information and the emotional information.

2. The method according to claim 1, characterized in that: The emotional information is determined based on at least one of the facial expression information and the recording information of the ward within the target time period.

3. The method according to claim 1, characterized in that The obtaining of the behavior information, historical physiological information, and emotional information of the ward during the target time period includes at least one of the following: The computer device acquires the behavior information, historical physiological information and emotional information of the ward within a first preset time period before the current physiological information is collected, when the current physiological information exceeds the preset index, wherein the target time period is the first preset time period before the computer device collects the current physiological information; When receiving the voice information input by the ward, the computer device obtains the behavioral information, historical physiological information and emotional information of the ward within a second preset time period before the ward inputs the voice information, wherein the voice information is used to indicate the content of the ward's description of his or her own status, and the target time period is the second preset time period before the ward inputs the voice information.

4. The method according to any one of claims 1 to 3, characterized in that After the computer device predicts the state information of the ward according to the behavior information, the current physiological information, the historical physiological information, and the emotional information, the method further includes: The computer device acquires the behavior information, historical physiological information and emotional information of the ward within a third preset time period after obtaining the status information; The computer device updates the status information of the ward according to the behavior information, historical physiological information and emotional information of the ward within a third preset time period after obtaining the status information.

5. The method according to any one of claims 1 to 3, characterized in that After the computer device collects the current physiological information of the ward and obtains the behavior information, historical physiological information and emotional information of the ward within the target time period, the method further includes: The computer device obtains the case information and medication information of the ward, wherein the case information is used to indicate the diagnosis result of the ward's condition, and the medication information is used to indicate the name, usage and dosage of the medicine corresponding to the case information; The computer device predicts the state information of the guardian according to the behavior information, the current physiological information, the historical physiological information and the emotional information, including: The computer device predicts the status information of the guardian based on the case information, the medication information, the behavior information, the current physiological information, the historical physiological information and the emotional information.

6. The method according to claim 5, characterized in that The computer device predicts the state information of the ward according to the case information, the medication information, the behavior information, the current physiological information, the historical physiological information and the emotional information, including: The computer device inputs the case information, the medication information, the behavior information, the current physiological information, the historical physiological information and the emotional information into a pre-trained analysis model to predict the status information of the guardian.

7. The method according to claim 6, characterized in that After the computer device inputs the case information, the medication information, the behavior information, the current physiological information, the historical physiological information, and the emotional information into a pre-trained analysis model to predict the state information of the ward, the method further includes: The computer device predicts the development trend of the disease condition of the ward based on the case information, the medication information and the status information of the ward.

8. A state information prediction device, applied to a computer device, characterized in that: The device comprises: A collection module, used to collect the current physiological information of the ward and obtain the behavior information, historical physiological information and emotional information of the ward within a target time period, wherein the target time period is a preset time period before the ward becomes abnormal; The first prediction module is used to predict the status information of the guardian based on the behavior information, the current physiological information, the historical physiological information and the emotional information.

9. An electronic device, characterized in that: include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein when the program is executed by the processor, the steps of the state information prediction method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the state information prediction method according to any one of claims 1 to 7 are implemented.

11. A computer program product, characterized in that The method comprises computer instructions, which, when executed by a processor, implement the steps of the state information prediction method according to any one of claims 1 to 7.

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