Text information extraction method, device, medium and electronic device

Abstract

The embodiment of the present invention provides a method, device, medium and electronic device for extracting text information, the method comprising: obtaining source text information in a medical data platform; obtaining a feature tag for identifying an information paragraph in the source text information for selection by a user; extracting the information paragraph corresponding to the feature tag from the source text information according to the feature tag selected by the user, or extracting the information paragraph recorded in the feature tag; extracting the information paragraph to be marked in the source text information again according to the extracted information paragraph to generate a target text. The technical solution of the embodiment of the present invention can improve the efficiency of text information extraction.

Description

[0001] This application is a divisional application of an invention patent with an application date of November 9, 2018, an invention name of "Text Information Extraction Method, Device, Medium and Electronic Device", and an application number of "201811331351.5". Technical Field

[0002] The present invention relates to the field of information processing technology, and in particular to a text information extraction method, device, medium and electronic equipment. Background Art

[0003] With the development of information technology, the degree of information sharing is getting higher and higher.

[0004] In the medical field, doctors use medical records to record the basic conditions of patients, such as the patient's complaint and five histories (chief complaint, current medical history, past medical history, personal history, marital history, and family history), examination reports (X-ray, CT (Computed Tomography), MRI (Magnetic Resonance Imaging), ultrasound, endoscopy, pathological examination findings and conclusions), surgical records, etc. When doctors conduct medical research, they need to extract valuable target information from each medical record, organize it together for research, and reorganize it when conducting the next medical research. This manual extraction process is too cumbersome and takes a lot of time.

[0005] Therefore, how to extract useful information from medical records simply and quickly becomes a problem that needs to be solved urgently.

[0006] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present invention, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0007] The purpose of the embodiments of the present invention is to provide a method, device, medium and electronic device for extracting text information, thereby overcoming the problem of low efficiency of text information extraction at least to a certain extent.

[0008] Other features and advantages of the present invention will become apparent from the following detailed description, or may be learned in part by practice of the present invention.

[0009] According to a first aspect of an embodiment of the present invention, a text information extraction method is provided, comprising:

[0010] Obtain source text information from the medical data platform;

[0011] Acquire a feature mark for identifying an information paragraph in the source text information for selection by a user;

[0012] extracting the information paragraph from the source text information according to the feature mark selected by the user;

[0013] The information paragraphs to be marked in the source text information are extracted again according to the extracted information paragraphs to generate the target text.

[0014] In an exemplary embodiment of the present invention, the method further comprises:

[0015] Determining whether the source text information contains the characteristic mark;

[0016] When the source text information does not contain the feature mark, the user is prompted to add the feature mark, and the feature mark added by the user is saved in the source text information.

[0017] In an exemplary embodiment of the present invention, extracting again the information paragraphs to be marked in the source text information according to the extracted information paragraphs comprises:

[0018] Parsing the information paragraph to obtain multiple key fields;

[0019] Extract the information paragraph to be marked that contains the key field.

[0020] In an exemplary embodiment of the present invention, extracting the information paragraph from the source text information according to the feature mark selected by the user comprises:

[0021] Analyzing the starting position and the ending position of the information paragraph contained in the characteristic mark in the source text information;

[0022] According to the starting position and the ending position, information paragraphs in the source text information are extracted.

[0023] In an exemplary embodiment of the present invention, extracting the information paragraph from the source text information according to the feature mark selected by the user comprises:

[0024] According to the feature tag selected by the user, the information segment recorded in the feature tag is extracted.

[0025] In an exemplary embodiment of the present invention, extracting the information paragraph from the source text information according to the feature mark selected by the user further includes:

[0026] When the user selects a plurality of the feature marks in the source text information, the selection order of the feature marks is recorded.

[0027] In an exemplary embodiment of the present invention, extracting the information paragraph in the source text information according to the feature mark further includes:

[0028] A selection order of the feature marks is obtained, and the information paragraphs in the source text information are sequentially extracted according to the selection order.

[0029] According to a second aspect of an embodiment of the present invention, there is provided a text information extraction device, comprising:

[0030] An information acquisition unit is used to acquire source text information in a medical data platform;

[0031] An acquisition marking unit, used for acquiring a characteristic mark for identifying an information paragraph in the source text information for selection by a user;

[0032] An information extraction unit, used for extracting the information paragraph from the source text information according to the feature mark selected by the user;

[0033] The target text generating unit is used to extract the information paragraphs to be marked in the source text information again according to the extracted information paragraphs to generate the target text.

[0034] According to a third aspect of an embodiment of the present invention, a computer-readable medium is provided, on which a computer program is stored. When the program is executed by a processor, the text information extraction method as described in the first aspect of the above embodiment is implemented.

[0035] According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the text information extraction method as described in the first aspect of the above embodiment.

[0036] The technical solution provided by the embodiment of the present invention may have the following beneficial effects:

[0037] In the technical solutions provided by some embodiments of the present invention, source text information in a medical data platform is obtained; feature tags for identifying information paragraphs in the source text information are obtained for selection by users; information paragraphs are extracted from the source text information according to the feature tags selected by users; and information paragraphs to be marked in the source text information are extracted again according to the extracted information paragraphs to generate target text. Information paragraphs required by users can be automatically extracted according to the feature tags only required by users, which reduces user operations and thus improves information extraction efficiency; and feature tags can be used to perform different extraction schemes multiple times to further improve extraction efficiency and at the same time improve the flexibility of text extraction.

[0038] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The drawings herein are incorporated into and constitute a part of the specification, showing embodiments consistent with the present invention, and together with the specification, are used to explain the principles of the present invention. Obviously, the drawings described below are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0040] Figure 1 A flowchart of a text information extraction method according to an embodiment of the present invention is schematically shown;

[0041] Figure 2 A block diagram schematically shows a text information extraction device according to an embodiment of the present invention;

[0042] Figure 3 The structure diagram of a computer system suitable for implementing an electronic device of an embodiment of the present invention is schematically shown. DETAILED DESCRIPTION

[0043] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the present invention will be more comprehensive and complete and fully convey the concept of the example embodiments to those skilled in the art.

[0044] In addition, the described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present invention. However, those skilled in the art will appreciate that the technical solution of the present invention can be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known methods, devices, implementations or operations are not shown or described in detail to avoid blurring various aspects of the present invention.

[0045] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0046] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0047] This example implementation first provides a method for extracting text information. Figure 1 As shown, the method may include steps S110, S120, S130, and S140. Among them:

[0048] Step S110, obtaining source text information in the medical data platform;

[0049] Step S120, obtaining a feature mark for identifying an information paragraph in the source text information for selection by a user;

[0050] Step S130, extracting the information paragraph from the source text information according to the feature mark selected by the user;

[0051] Step S140: extracting the information paragraphs to be marked in the source text information again according to the extracted information paragraphs to generate the target text.

[0052] According to the text information extraction method in this example embodiment, by acquiring source text information in a medical data platform, characteristic tags for identifying information paragraphs in the source text information are acquired for user selection, information paragraphs are extracted from the source text information according to the characteristic tags selected by the user, and information paragraphs to be marked in the source text information are extracted again according to the extracted information paragraphs to generate a target text. The information paragraphs required by the user can be automatically extracted, reducing the user's operations, thereby improving the efficiency of information extraction; and the characteristic tags can be used to perform different extraction schemes multiple times to further improve the extraction efficiency, while improving the flexibility of text extraction.

[0053] Next, we will combine Figure 1 Each step of the text information extraction method in this exemplary embodiment is described in more detail.

[0054] Step S110, obtaining source text information in the medical data platform.

[0055] The medical data platform can be an application platform for managing patient medical records, various disease information, and various drug information. Or the medical data platform can also be various management systems or software of the hospital, such as a medical record management system, a surgical management system, etc. Of course, according to the actual situation, the medical data platform can also be other platforms, such as a hospital registration platform, etc. Any information obtained from the medical data platform can be source text information, such as medical records, surgical data, treatment effect records, etc. The source text information can also be medical papers, medical reports, etc. In addition, the source text information can be structured information or unstructured information. The structured information can include information with regular or complete data structure, which can be represented by a two-dimensional logical table of a database. Unstructured information can include data with irregular or incomplete data structure, no predefined data model, and data that is not convenient to be represented by a two-dimensional logical table of a database. For example, text information, digital information, table information, or picture information, etc. After obtaining the source text information, the information can be displayed on the screen through a display, so as to be displayed to the user.

[0056] Step S120: Acquire a feature mark for identifying an information paragraph in the source text information for selection by a user.

[0057] In this example embodiment, the information paragraph can be any part of the source text information. For example, when the source text information is a table, the information paragraph can be the first three rows or the second to fifth columns in the table, etc. The information paragraph can be identified by a feature marker. The feature marker can be a symbol, text or other mark, such as a prompt box, annotation, etc. In addition, the feature marker can be generated according to any algorithm or rule, or generated according to the user's addition. For example, the user can mark the information paragraph in the source text information by adding annotations or comments. At this time, the user's annotations or annotations can be used as feature markers. For example, annotations in word, etc. The user can also use several keywords to annotate the selected information paragraph, and then the user's keywords can be used as feature markers, etc. Alternatively, the source text information can be analyzed according to the grammatical rules of the source text, and the corresponding feature markers can be automatically added to the source text information according to the characteristics of each information paragraph of the source text information.

[0058] After the feature mark is generated, it can be saved in the source text information. After the feature mark is obtained, the feature mark can be displayed at the corresponding position of the source text information, or displayed in the form of a label for the user to select. In addition, the information paragraph marked by the feature mark can be displayed differently, for example, highlighted, enlarged font, etc. The user can select by clicking the mouse, or directly enter the sequence of feature marks to select.

[0059] Furthermore, the characteristic mark can record the starting position and the ending position of the information paragraph. For example, the characteristic mark can contain "1, 10", which can represent the information paragraph from the first line to the tenth line.

[0060] Furthermore, the characteristic tag can also record an information paragraph. The information paragraph can be directly stored in the characteristic tag, or copied in the characteristic tag, that is, the information paragraph can be directly used as the characteristic tag. For example, the characteristic tag is "rheumatism" and the like.

[0061] Step S130: extracting the information paragraph from the source text information according to the feature mark selected by the user.

[0062] In this exemplary embodiment, the information paragraph corresponding to the feature tag selected by the user can be extracted. For example, if the feature tag selected by the user is a keyword, then the information paragraph annotated with the keyword is extracted from the source text information.

[0063] Furthermore, the starting position and ending position of the information paragraph contained in the feature mark can be analyzed, and the information paragraph of the source text information can be extracted according to the starting position and the ending position. For example, if the feature mark selected by the user is "1, 10", the content of the first to tenth lines of the source text information is extracted.

[0064] Furthermore, the information paragraphs recorded in the characteristic mark can be directly extracted. For example, if the characteristic mark contains "asthma", "asthma" can be directly extracted.

[0065] In addition, the user may select multiple feature tags. When the user selects multiple feature tags, the selection order of the user when selecting the feature tags can be recorded, so that the information segments corresponding to the feature tags are sequentially extracted according to the selection order of the feature tags.

[0066] Step S140: extracting the information paragraphs to be marked in the source text information again according to the extracted information paragraphs to generate the target text.

[0067] In this example embodiment, the information paragraphs to be marked in the source text information can be extracted based on the extracted information paragraphs. The information paragraphs to be marked can refer to the information paragraphs in the source text information that have not been marked by the user, that is, the part of the source text information without feature marks. In addition, after these information paragraphs are extracted, they can be exported to the target text created by the user, so as to generate the target text. The target text can be various files that can store information, such as word documents, Excel tables, notepads, etc.

[0068] In some embodiments of the present invention, the information paragraphs to be marked in the source text information can be extracted again based on the extracted information paragraphs, and multiple key fields can be obtained by parsing the information paragraphs; and then the information paragraphs to be marked containing the key fields are extracted. The key fields can be the content contained in the information paragraphs, such as words, characters, etc. in the information paragraphs. For example, since medicines, symptoms, diseases, etc. have proper nouns, the disease names contained in the information paragraphs can be parsed out, so that the paragraphs containing the disease can be extracted based on the disease nouns; or the category of the disease can be analyzed based on the disease nouns (for example, cataracts belong to ophthalmic diseases, eczema belongs to skin diseases, etc.), so that the paragraphs containing such diseases can be extracted.

[0069] In addition, before obtaining the characteristic mark used to identify the information paragraph in the source text information, it is also possible to determine whether the source text information contains the characteristic mark; and then when the source text information does not contain the characteristic mark, the user is prompted to add the characteristic mark; and the characteristic mark added by the user is saved in the source text information. Among them, after the source text information is obtained, it is possible to detect whether the source text information contains the characteristic mark. It is possible to determine whether the source text information contains the characteristic mark according to the pre-set mark information, for example, the number 1 represents the containing mark, and the number 0 represents the not containing mark; and then after the source text information is obtained, it is possible to determine whether the source text information contains the characteristic mark. Alternatively, it is also possible to directly obtain the characteristic mark in the source text information, and determine whether the characteristic mark is obtained according to the obtained result. If it is obtained, it can be displayed to the user for the user to select; if it is not obtained, it can be considered that the source text does not contain the characteristic mark. Of course, it is also possible to determine whether the source text contains the characteristic mark in other ways, such as recording the number of characteristic marks in the source text information, and it can be determined that the characteristic mark is not contained when the number is 0.

[0070] If the source text information does not contain a feature tag, the user may be prompted to add a feature tag. The user may add a feature tag to the content that he or she needs to extract. According to the part of the source text information that he or she needs, the user may add a feature tag to the required part of the information, and this part of information may be the information paragraph identified by the feature tag added by the user. The feature tags added by the user may be saved, and the correspondence between the feature tags and the information paragraphs identified by them may also be saved, so as to facilitate the extraction of the information paragraphs according to the feature tags. The user may be prompted by a pop-up window or by displaying a prompt text to the user; of course, the user may also be prompted by other means, such as a sound prompt, etc., according to the actual situation; this example embodiment does not specifically limit this.

[0071] Then, the feature markers added by the user can be saved in the source text information. That is to say, the feature markers added by the user can be saved in the corresponding position of the source text information, or can become a part of the source text information. For example, the feature markers can be saved in the source text information; the corresponding relationship between the feature markers and the source text information can also be saved; or the feature markers in the same source text file can be saved in the same file, and the information of the source text file can be saved in the file; of course, according to actual needs, the feature markers can also be saved in other ways, such as saving the feature markers in a database, and saving the path of the source text information corresponding to the feature markers in the database, etc.; this example implementation does not specifically limit this.

[0072] The following describes an embodiment of the device of the present invention, which can be used to perform the above-mentioned text information extraction method of the present invention. Figure 2 As shown, the text information extraction device 200 may include:

[0073] An information acquisition unit 210 is used to acquire source text information in a medical data platform;

[0074] The tag acquisition unit 220 is used to acquire a feature tag for identifying an information segment in the source text information for selection by a user;

[0075] An information extraction unit 230, configured to extract the information paragraph from the source text information according to the feature mark selected by the user;

[0076] The target text generating unit 240 is used to extract the information paragraphs to be marked in the source text information again according to the extracted information paragraphs to generate the target text.

[0077] Since the functional modules of the text information extraction device of the exemplary embodiment of the present invention correspond to the steps of the exemplary embodiment of the above-mentioned text information extraction method, for details not disclosed in the embodiment of the text information extraction device of the present invention, please refer to the embodiment of the above-mentioned text information extraction method of the present invention.

[0078] Reference below Figure 3 , which shows a schematic diagram of the structure of a computer system 300 of an electronic device suitable for implementing an embodiment of the present invention. Figure 3 The computer system 300 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0079] like Figure 3As shown, the computer system 300 includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage part 308 into a random access memory (RAM) 303. Various programs and data required for system operation are also stored in the RAM 303. The CPU 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0080] The following components are connected to the I / O interface 305: an input section 306 including a keyboard, a mouse, etc.; an output section 307 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed, so that a computer program read therefrom is installed into the storage section 308 as needed.

[0081] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 309, and / or installed from a removable medium 311. When the computer program is executed by a central processing unit (CPU) 301, the above-mentioned functions defined in the system of the present application are executed.

[0082] It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0083] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0084] The units involved in the embodiments of the present invention may be implemented by software or hardware, and the units described may also be arranged in a processor. The names of these units do not, in some cases, limit the units themselves.

[0085] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements the text information extraction method described in the above embodiment.

[0086] For example, the electronic device can implement Figure 1 As shown in:

[0087] Step S110, obtaining source text information in the medical data platform; Step S120, obtaining feature tags for identifying information paragraphs in the source text information for user selection; Step S130, extracting the information paragraphs from the source text information according to the feature tags selected by the user; Step S140, extracting the information paragraphs to be marked in the source text information again according to the extracted information paragraphs to generate the target text.

[0088] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to an embodiment of the present invention, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0089] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation of the present invention.

[0090] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed by the present invention. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.

[0091] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A text information extraction method, characterized in that: include: Obtain source text information from the medical data platform; Acquire a feature mark for identifying an information paragraph in the source text information for selection by a user; the feature mark is used to record the starting position and the ending position of the information paragraph, or to record the information paragraph; According to the feature mark selected by the user, extracting the information paragraph corresponding to the feature mark from the source text information, or extracting the information paragraph recorded in the feature mark; Extracting the information paragraphs to be marked in the source text information again according to the extracted information paragraphs to generate the target text; The step of extracting the information paragraphs to be marked in the source text information again according to the extracted information paragraphs includes: The information paragraph is parsed to obtain a plurality of key fields, and the information paragraph to be marked containing the key fields is extracted.

2. The text information extraction method according to claim 1, characterized in that: The method further comprises: Determining whether the source text information contains a characteristic mark; When the source text information does not contain the characteristic mark, prompting the user to add the characteristic mark; The characteristic mark added by the user is stored in the source text information.

3. The text information extraction method according to claim 1, characterized in that: The extracting, from the source text information, the information paragraph corresponding to the feature mark selected by the user comprises: Analyzing the starting position and the ending position of the information paragraph contained in the characteristic mark in the source text information; According to the starting position and the ending position, information paragraphs in the source text information are extracted.

4. The text information extraction method according to claim 1, characterized in that: The extracting, from the source text information, the information paragraph corresponding to the feature mark selected by the user further comprises: When the user selects a plurality of the feature marks in the source text information, the selection order of the feature marks is recorded.

5. The text information extraction method according to claim 4, characterized in that: The extracting, from the source text information, the information paragraph corresponding to the feature mark selected by the user further comprises: A selection order of the feature marks is obtained, and the information paragraphs in the source text information are sequentially extracted according to the selection order.

6. A text information extraction device, characterized in that: include: An information acquisition unit is used to acquire source text information in a medical data platform; An acquisition marking unit, used for acquiring a characteristic mark for identifying an information paragraph in the source text information for selection by a user; the characteristic mark is used for recording a starting position and an ending position of an information paragraph, or recording an information paragraph; An information extraction unit, used to extract the information paragraph corresponding to the feature mark from the source text information according to the feature mark selected by the user, or to extract the information paragraph recorded in the feature mark; A target text generating unit, used for extracting the information paragraphs to be marked in the source text information again according to the extracted information paragraphs, so as to generate the target text; The step of extracting the information paragraphs to be marked in the source text information again according to the extracted information paragraphs includes: The information paragraph is parsed to obtain a plurality of key fields, and the information paragraph to be marked containing the key fields is extracted.

7. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the text information extraction method according to any one of claims 1 to 5 is implemented.

8. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enables the one or more processors to implement the text information extraction method according to any one of claims 1 to 5.

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