CN113986022A

CN113986022A - Display method and device and electronic equipment

Info

Publication number: CN113986022A
Application number: CN202111248054.6A
Authority: CN
Inventors: 胡小明; 刘军伟; 史学颖; 陈俊; 袁泉
Original assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Current assignee: Beijing Baidu Netcom Science and Technology Co Ltd
Priority date: 2021-10-26
Filing date: 2021-10-26
Publication date: 2022-01-28

Abstract

The disclosure provides a display method, a display device and electronic equipment, relates to computer technology, and particularly relates to the technical fields of big data, input, display and the like. The specific scheme is as follows: acquiring a target character input in an input method interface; retrieving N words matched with the target characters; determining M second words of a second name type from a pre-established medical word knowledge graph under the condition that the N words comprise M first words of the first name type; the medical term knowledge graph further comprises M first terms, and M second terms correspond to the M first terms; inserting the M second words into the N words to obtain a plurality of target words; displaying at least some of the plurality of target terms in the input method interface. Therefore, in the medical field, the words displayed on the input method interface are more professional, and the accuracy of the displayed words is improved.

Description

Display method and device and electronic equipment

Technical Field

The present disclosure relates to the field of big data, input, display, and the like in computer technologies, and in particular, to a display method and apparatus, and an electronic device.

Background

In the medical field, a large number of medical professional words and the like need to be used, and the medical term standardized input method refers to a method for guiding a user to perform standardized input of medical terms while performing conventional text input by applying an input method system along with the user in a medical scene during the process of performing medical text input.

At present, in the text input process in the medical field, a commonly used display method is to pre-configure a medical term library in a general input method system, perform matching by using the medical term library according to characters input by a user, and display matched medical words in an input method interface for the user to select.

Disclosure of Invention

The disclosure provides a display method and device and electronic equipment.

In a first aspect, an embodiment of the present disclosure provides a display method, including:

acquiring a target character input in an input method interface;

retrieving N words matched with the target characters, wherein N is a positive integer;

determining M second words of a second name type from a pre-established medical word knowledge graph under the condition that the N words comprise M first words of a first name type; the medical term knowledge graph further comprises the M first terms, the M second terms correspond to the M first terms, and M is a positive integer;

inserting the M second words into the N words to obtain a plurality of target words;

displaying at least some of the plurality of target terms in the input method interface.

In the display method of this embodiment, after N words matched with the input target characters are retrieved, in a case where the N words include M first words of a first name type, M second words of a second name type are determined from a pre-established medical word knowledge graph, and the M second words are inserted into the N words to obtain a plurality of target words, and at least part of the plurality of target words is displayed in the input method interface. The method comprises the steps of searching for N matched words, searching for second words of a second name type corresponding to first words of a first name type in a medical word knowledge graph to obtain M second words, inserting the M second words into the N words to obtain a plurality of target words, obtaining target search result words of target characters, and displaying at least part of the words in an input method interface, so that the words displayed on the input method interface in the medical field are more professional, and the accuracy of the displayed words is improved.

In a second aspect, an embodiment of the present disclosure provides a display device, including:

the first acquisition module is used for acquiring a target character input in the input method interface;

the retrieval module is used for retrieving N words matched with the target characters, wherein N is a positive integer;

the first determining module is used for determining M second words of a second name type from a pre-established medical word knowledge graph under the condition that the N words comprise M first words of the first name type; the medical term knowledge graph further comprises the M first terms, the M second terms correspond to the M first terms, and M is a positive integer;

the target word acquisition module is used for inserting the M second words into the N words to obtain a plurality of target words;

the first display module is used for displaying at least part of the target words in the input method interface.

In a third aspect, an embodiment of the present disclosure further provides an electronic device, including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the display method of the present disclosure as provided in the first aspect.

In a fourth aspect, an embodiment of the present disclosure also provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the display method provided by the first aspect of the present disclosure.

In a fifth aspect, an embodiment of the present disclosure provides a computer program product comprising a computer program which, when executed by a processor, implements the display method of the present disclosure as provided in the first aspect.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

fig. 1 is one of the flow diagrams of a display method according to an embodiment provided by the present disclosure;

FIG. 2 is a schematic diagram of generating a target word in a display method according to an embodiment provided by the present disclosure;

FIG. 3 is a schematic diagram of an input method system according to one embodiment provided by the present disclosure;

FIG. 4 is an input method interface diagram of one embodiment provided by the present disclosure;

FIG. 5 is a block diagram of a display device of one embodiment provided by the present disclosure;

fig. 6 is a block diagram of an electronic device for implementing a display method of an embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness. The terms "first," "second," and the like in the description and in the claims of the present disclosure are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

As shown in fig. 1, according to an embodiment of the present disclosure, the present disclosure provides a display method, the method including:

step S101: and acquiring the target character input in the input method interface.

The text is required to be input in the text editing interface, the target characters are input in the input method interface at first to serve as a basis for displaying words in the input method interface, and a user can select the words displayed in the input method interface, so that the purpose of inputting the selected words in the text editing interface is achieved. In addition, it should be noted that the target character may be a character such as pinyin or a stroke.

Step S102: n words matching the target character are retrieved.

N is a positive integer. The input method is provided with a word search engine, after the input target characters are obtained, N words matched with the target characters can be searched through the word search engine in the input method, the N words can be understood as N candidate words of the target characters, and the matching degree of the N words with the target characters can be larger than the preset matching degree. It should be noted that the N words are sequential, and the higher the matching degree is, the more forward the sequence is.

Step S103: in the case where M first words of a first name type are included in the N words, M second words of a second name type are determined from a pre-established medical word knowledge-graph.

The medical term knowledge graph further comprises M first terms, M second terms correspond to the M first terms, and M is a positive integer.

It can be understood that the medical term knowledge graph comprises M first terms and M second terms, and the M second terms correspond to the M first terms one by one. As one example, the first name type may be an alias type and the second name type may be a standard name type (also referred to as a proper name type).

In this embodiment, it is first determined whether M first terms of a first name type are included in the N terms, and if so, M second terms corresponding to the M first terms are obtained from the medical term knowledge graph. Because the medical term knowledge graph is related to the medical terms, the determined second terms are terms related to the medical terms and are of the second name type, the specialization and the standard of the second terms can be improved, and the accuracy of the second terms is improved.

Step S104: and inserting the M second words into the N words to obtain a plurality of target words.

The number of the obtained plurality of target words is M + N, and as an example, since the N words are ordered, the M second words are inserted into the N words, and the obtained plurality of target words are ordered, wherein the relative ordinal relation of the M first words in the plurality of target words is unchanged, for example, the N words include ordered word a (the highest in the order), word B, and word C (the last in the order), the M first words include word a and word C, word a is before word C, after the M second words are inserted into the N words, the relative ordinal relation of word a and word C in the plurality of target words is unchanged, and word a is still before word C. In one example, each second word in the plurality of target words may be adjacent to the corresponding first word, e.g., M second words include word a1 (corresponding to word a) and word C1 (corresponding to word C), word a1 is inserted before word a in the N words, word C1 is inserted before word C, and the resulting plurality of target words includes ordered word a1 (first in the order), word a, word B, word C1, and word C (last in the order).

Step S105: and displaying at least part of the target words in the input method interface.

Because the length of the input method interface is limited, the number of words displayed at one time is limited, if the number of the target words is larger than the maximum number of words which can be accommodated in the input method interface, part of the target words are displayed in the input method interface, and if the number of the target words is smaller than or equal to the maximum number of words which can be accommodated in the input method interface, all the target words are displayed in the input method interface. It should be noted that, the at least some words may be P target words that are earlier in order in the plurality of target words, that is, the order of the P target words is before the order of the remaining target words, the remaining target words are words other than the P target words in the plurality of target words, and P is a positive integer.

In one embodiment, the medical term knowledge graph includes a term set of a first name type, a term set of a second name type, and a term correspondence relationship in which any term in the term set of the first name type corresponds to a term in the term set of the second name type, and any term in the term set of the second name type corresponds to at least one term in the term set of the first name type;

wherein, in the case that the N words include M first words of a first name type, determining M second words of a second name type from a pre-established medical word knowledge-graph includes:

in a case where it is determined that M first words are included in the N words based on the word set of the first name type, M second words are determined from the medical word knowledge-graph.

It will be appreciated that each term in the medical term knowledge graph has a corresponding name type label, e.g., each term in the set of terms of the first name type corresponds to a name type label and is both a label of the first name type, and each term in the set of terms of the second name type corresponds to a name type label and is both a label of the second name type. And if any one of the N words is in the word set with the first name type, determining that the word is the word with the first name type, wherein the word can be used as a first word, M words in the N words are in the word set with the first name type, and the M words are the M first words, so that whether the M first words are included in the N words can be determined according to the medical word knowledge graph, namely whether the words belonging to the first name type are included in the N words is determined. Since in the medical term knowledge graph any term in the term set of the first name type corresponds to a term in the term set of the second name type, and M first terms belong to the term set of the first name type, each first term has a corresponding second term belonging to the second name type in the medical term knowledge graph, M second terms of the second name type can be determined from the medical term knowledge graph in case that it is determined that M first terms are included in N terms based on the term set of the first name type.

In this embodiment, since the medical term knowledge graph includes the term set of the first name type, the term set of the second name type, and the term correspondence relationship, and in the term correspondence relationship, any term in the term set of the first name type corresponds to a term in the term set of the second name type, and any term in the term set of the second name type corresponds to at least one term in the term set of the first name type, it may be determined whether a term of the first name type is included in the N terms according to the term set of the first name type, and if it is determined that M first terms of the first name type are included in the N terms according to the term set of the first name type, the M second terms may be determined from the medical term knowledge graph, which may improve the accuracy of determining the second terms, and further, the accuracy of the target words displayed in the input method interface is improved.

In one embodiment, the medical term knowledge-map is pre-established by:

acquiring medical field standard data, wherein a medical name set in the medical field standard data;

determining a word set of the second name type corresponding to a word set of a first name type from the medical name set, wherein the medical name set comprises the word set of the first name type and the word set of the second name type;

establishing a medical term knowledge graph based on the set of terms of the first name type and the set of terms of the second name type.

For example, the medical domain standard data may include, but is not limited to, published "common clinical medicine noun" required to be performed, international classification of disease (ICD-10), international classification of disease surgery and procedure (ICD-9-CM-3), and published drug names, product names, and commodity names, etc. The standard data of the medical industry required to be executed are fused and classified according to the category of terms, such as diseases, symptoms, medicines, operation, auxiliary examination and the like, a set of medical names in the above-mentioned medical domain standard data, in which medical names of a first name type may be included, i.e., words of a first name type, e.g., the first name type is an alias type, a standard name for the words of the first name type (i.e., words of a second name type, which may be words of a proper name type) may be determined, that is, a word set of a first name type can be determined from the medical name set, and then a word set of a second name type corresponding to the word set can be determined from the medical name set, thereby establishing the corresponding relation between the word set with the first name type and the word set corresponding to the second name type and establishing the medical word knowledge map. It should be noted that the medical term knowledge graph may further include a first term set belonging to a second name type, and a term of the first name type corresponding to a term in the first term set is not included in the medical name set, that is, a term of the first name type does not correspond to the term in the medical name set.

In this embodiment, the medical field standard data may be collected, the term set of the second name type corresponding to the term set of the first name type of the medical field standard data in the medical field standard data may be determined, the term correspondence between the term set of the first name type and the term set of the second name type may be obtained, and then the medical term knowledge graph may be established according to the term set of the first name type and the term set of the second name type, so that the accuracy of establishing the knowledge graph may be improved.

In one embodiment, after acquiring the medical domain standard data, the method further comprises:

constructing a medical word library based on the medical name set;

wherein, retrieving N words matched with the target character includes:

and searching N words matched with the target characters in a comprehensive word library, wherein the comprehensive word library comprises a medical word library and a general word library.

It is understood that the medical term library may include a set of medical names. In this embodiment, in the process of performing word search based on the target character, the comprehensive word library including the medical word library and the general word library is adopted, which not only can improve the relevance between the searched words and the medical field, but also can determine the search universality, thus improving the accuracy of the N searched words.

In one embodiment, the order of any second word is adjacent to and before the order of its corresponding first word in the plurality of target words.

In this way, the order of the second word is adjacent to and before the order of its corresponding first word during the display process, so that the user can conveniently view and select the previous second word related to the medical field.

In one embodiment, in the input method interface, a corresponding ordinal number is also displayed before each word in at least part of the words, and in the case that at least one second word is included in at least part of the words, a first word corresponding to a target second word is also displayed in association with the ordinal number of the target second word with the target second word, and after the first word corresponding to the target second word is displayed in the target second word, the display attribute of the first word corresponding to the target second word is different from that of the target second word; wherein the target second word is any one of the at least one second word.

It should be noted that the display attributes are different, and may include, but are not limited to, different font colors, different transparency, and the like. Under the condition that the at least part of words comprises at least one second word, if the first word corresponding to the target second word is in the at least part of words, the input method interface also displays the first word corresponding to the target second word, and the displayed sequence number is the sequence number of the first word, in addition, the first word corresponding to the target second word and the sequence number of the target second word related to the target second word are displayed, so that the understanding that the first word corresponding to the target second word is displayed twice in the input method interface, displayed by the sequence number of the first word and displayed by the sequence number of the target second word after the target second word can be understood.

In this embodiment, in the input method interface, a corresponding ordinal number is further displayed before each of the at least some words, so that a user can select an input word through the ordinal number, and a display attribute of a first word corresponding to a target second word is different from a display attribute of the target second word, so as to remind the user.

In one embodiment, after displaying at least some of the target words in the input method interface, the method further includes:

and under the condition that a first input of a target sequence number in the sequence numbers of the at least one second word is received, responding to the first input, and only displaying the second word corresponding to the target sequence number on a text editing interface.

It can be understood that, when any of the sequence numbers of at least some of the words is selected and input, the word corresponding to the sequence number can be displayed on the text editing interface. In the process of displaying the second words in at least part of the words, the corresponding first words are displayed behind the second words, and the first words and the second words are related under the sequence numbers of the second words, so that under the condition of performing first input on the target sequence numbers in the sequence numbers of the at least one second words, only the second words corresponding to the target sequence numbers are displayed on the text editing interface, and the displayed corresponding first words serve as prompts in the input method interface, so that the input of a user is facilitated, and the accuracy of the words input by the user on the text editing interface is improved.

The process of the above method is described in detail below with an embodiment.

The medical terminology is voluminous, the medical system diversity and the user habits that are commonly applied in medical scenarios by conventional input methods systems today. The most important problem is to ensure standard professionalism and acceptance, otherwise, the problem of unified standard acceptance of medical terms cannot be solved fundamentally, and the unified application layer value of noun terms of medical big data is difficult to form, so that the medical industry standards required by related departments are selected to construct a medical term knowledge map so as to achieve the correct corresponding relation between the positive names and the aliases (Chinese, once, English, abbreviation, medicine commodity names and the like). And secondly, the method is combined with a universal Chinese input software system in an operating system to enhance the product universality, medical systems applied in a medical scene are complex and changeable, if the method is only combined with a certain medical system, noun and term unification can not be carried out on medical text data produced by multiple medical systems, so that a conventional input method system is selected for fusion, and the input method system can be applied to any medical information system in the operating system for medical text standardized input. When the method is combined with an input method system, the input mode, the candidate word sorting mode and the standard term display mode of the method are in accordance with the existing use habit of a user to the conventional input method system to a great extent, so that the usability of the product is improved.

First, the standard problem:

the principle of the medical term standard input method system in this embodiment is shown in fig. 2, a medical term knowledge map is established by using medical field standard data, and is applied to a medical term standardization engine, and in addition, a medical word stock established according to the medical field standard data is added to an input method word stock, so that the input method general engine can call the medical word stock to increase recall of medical words. The user inputs pinyin characters and then uses an input method general engine to retrieve N matched words, if the medical word knowledge graph comprises M words in the N words, the M words can be M first words, and then the medical term standardization engine searches corresponding M second words in the medical word knowledge graph, so that the aim of simultaneously outputting pinyin words and standard words is fulfilled, the requirement of standardization of medical terms is met, the coverage of various medical terms in common medical texts and the recognition degree in the industry are improved, and the medical term product applying the standard can be practically used and popularized all over the country.

Secondly, the problem of versatility:

the medical term standardization method is used as a word processing engine of the input method system, and is combined with the input method software system, when medical staff carries out medical text pinyin input, the words input by the medical staff are processed by medical standardization, as shown in fig. 3, the standard names corresponding to the words input by the production doctor are produced in the input method interface, so that the user can provide a uniform standardized term result when inputting Medical terms under various Medical scenes and under various Medical systems (such as Medical Information systems of EMR (Electronic Medical Record))/HIS (Hospital Information System)/LIS (Laboratory Information Management System)/nursing/hand anesthesia, and the like), and the intervention is generated from the production stage of Medical text data, so that the uniformity and the standard of the whole Medical big data are enhanced.

Secondly, ease of use issues:

in an interactive mode, the medical term standardized input method and the input method system are deeply integrated, the whole input method interface is the same as a common input method, and the input method interface bears pinyin input by a user and corresponding candidate words. The medical term standardization engine standardizes the words in the input method interface, which are retrieved by the input method general engine, and the words are displayed in the input method interface, for example, in the previous position of the words corresponding to the pinyin search. For example, as shown in fig. 4, allergic rhinitis is a standard word and allergic rhinitis is an alias thereof, after the user inputs the pinyin character of "guomingxingbiyan", the words that match are retrieved include "allergic rhinitis" and word C, the words that the input method interface should exhibit are "allergic rhinitis" and word C, however, by the medical term standardized engine dry prognosis, the "allergic rhinitis (allergic rhinitis)" is shown in the former cis position of the allergic rhinitis "on the input method interface, and the word C1 (the standard word corresponding to the word C) is displayed in the front of the word C in the same order, so that the user can conveniently select the standard word for final confirmation input, the standard word is displayed on the screen, i.e., displayed in the text editing interface, but the aliases in parentheses are not on-screen (i.e., not displayed in the text editing interface) to serve as a standardized entry for terms. Meanwhile, the alias of the standard word can be annotated, so that the user can quickly understand the problem that the input pinyin does not correspond to the on-screen word. The medical term standardization engine does not perform any intervention on the non-medical words of the input method interface, and therefore, even in the case where the medical standardization function is turned on, the user is not affected in inputting general words. By integrating the product interaction modes, the original way of inputting words by pinyin for the user is ensured, the usability is improved, and the medical terms can be ensured to play a role in standardizing term input business when the user inputs the terms. In addition, the input method status bar is provided with a medical term standardization function switch, and in the switch off state, the input method system only applies the input method general engine without using the medical term labeling engine, and the subsequent word output display and interaction mode is equal to that of a general input method, so that medical workers can conveniently use the input method system to input non-medical documents in a non-medical scene.

As shown in fig. 5, the present disclosure also provides a display device 500, according to an embodiment of the present disclosure, the device including:

a first obtaining module 501, configured to obtain a target character input in an input method interface;

a retrieval module 502, configured to retrieve N words matched with the target character, where N is a positive integer;

a first determining module 503, configured to determine, when the N terms include M first terms of a first name type, M second terms of a second name type from a pre-established medical term knowledge graph; the medical term knowledge graph further comprises M first terms, M second terms correspond to the M first terms, and M is a positive integer;

a target word obtaining module 504, configured to insert M second words into N words to obtain multiple target words;

the first display module 505 is configured to display at least a part of the target words in the input method interface.

in the event that the N words include M first words of a first name type, determining M second words of a second name type from a pre-established medical word knowledge-graph, including:

In one embodiment, the medical term knowledge-map is pre-established by:

acquiring medical field standard data, wherein the medical field standard data comprises a medical name set;

determining a word set of a second name type corresponding to the word set of the first name type from the medical name set, wherein the medical name set comprises the word set of the first name type and the word set of the second name type;

a medical term knowledge graph is established based on the set of terms of the first name type and the set of terms of the second name type.

In one embodiment, the apparatus 500, further comprises:

the word stock building module is used for building a medical word stock based on the medical name set;

wherein, retrieving N words matched with the target character includes:

In one embodiment, the apparatus 500, further comprises:

and the second display module is used for responding to the first input and only displaying the second words corresponding to the target sequence numbers on the text editing interface under the condition of receiving the first input of the target sequence numbers in the sequence numbers of at least one second word.

The display device of each embodiment is a device for implementing the display method of each embodiment, and the technical features and technical effects correspond to each other, which are not described herein again.

The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.

The non-transitory computer-readable storage medium of the embodiments of the present disclosure stores computer instructions for causing a computer to perform the display method provided by the present disclosure.

The computer program product of the embodiments of the present disclosure includes a computer program for causing a computer to execute the display method provided by the embodiments of the present disclosure.

FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 6, the electronic device 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data required for the operation of the device 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

Various components in the electronic device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the electronic device 600 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.

The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated artificial intelligence (I) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 601 executes the respective methods and processes described above, such as the display method. For example, in some embodiments, the display method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into the RAM603 and executed by the computing unit 601, one or more steps of the display method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the display method by any other suitable means (e.g. by means of firmware). Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one display device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), the internet, and blockchain networks.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server can be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service ("Virtual Private Server", or simply "VPS"). The server may also be a server of a distributed system, or a server incorporating a blockchain.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel or sequentially or in different orders, and are not limited herein as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A method of displaying, the method comprising:

acquiring a target character input in an input method interface;

2. The method of claim 1, wherein the medical term knowledge graph includes a set of terms of the first name type, a set of terms of the second name type, and a term correspondence in which any term in the set of terms of the first name type corresponds to one term in the set of terms of the second name type and any term in the set of terms of the second name type corresponds to at least one term in the set of terms of the first name type;

in the case that M first words of a first name type are included in the N words, determining M second words of a second name type from a pre-established medical word knowledge-graph includes:

determining the M second words from the medical word knowledge-graph if it is determined that the M first words are included in the N words based on the set of words of the first name type.

3. The method of claim 2, wherein the medical word knowledge-graph is pre-established by:

determining a word set of the second name type corresponding to the word set of the first name type from the medical name set, wherein the medical name set comprises the word set of the first name type and the word set of the second name type;

4. The method of claim 3, wherein after the acquiring medical domain standard data, further comprising:

constructing a medical word library based on the medical name set;

wherein the retrieving N words that match the target character comprises:

and searching the N words matched with the target characters in a comprehensive word library, wherein the comprehensive word library comprises the medical word library and a general word library.

5. The method of claim 1, wherein, in the plurality of target words, the order of any second word is adjacent to and before the order of its corresponding first word.

6. The method of claim 5, wherein, in the input method interface, a corresponding cis number is further displayed before each word in the at least partial words, and in a case that at least one second word is included in the at least partial words, a first word corresponding to a target second word is further displayed in association with the cis number of the target second word with the target second word, and the first word corresponding to the target second word is displayed after the target second word, the display attribute of the first word corresponding to the target second word is different from the display attribute of the target second word; wherein the target second term is any one of the at least one second term.

7. The method of claim 6, wherein after the acquiring medical domain standard data, further comprising:

8. A display device, the device comprising:

9. The apparatus of claim 8, wherein the medical term knowledge graph includes a set of terms of the first name type, a set of terms of the second name type, and a term correspondence in which any term in the set of terms of the first name type corresponds to one term in the set of terms of the second name type and any term in the set of terms of the second name type corresponds to at least one term in the set of terms of the first name type;

10. The apparatus of claim 9, wherein the medical word knowledge-graph is pre-established by:

11. The apparatus of claim 10, further comprising:

wherein the retrieving N words that match the target character comprises:

12. The apparatus of claim 8, wherein, in the plurality of target words, the order of any second word is adjacent to and before the order of its corresponding first word.

13. The apparatus according to claim 12, wherein, in the input method interface, a corresponding ordinal number is further displayed before each word in the at least part of words, and in a case that at least one second word is included in the at least part of words, a first word corresponding to a target second word is further displayed in association with the ordinal number of the target second word with respect to the target second word, and the first word corresponding to the target second word is displayed after the target second word, and a display attribute of the first word corresponding to the target second word is different from a display attribute of the target second word; wherein the target second term is any one of the at least one second term.

14. The apparatus of claim 13, further comprising:

and the second display module is used for responding to the first input and only displaying the second words corresponding to the target sequence numbers on a text editing interface under the condition that the first input of the target sequence numbers in the sequence numbers of the at least one second word is received.

15. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the display method of any one of claims 1-7.

16. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the display method according to any one of claims 1 to 7.

17. A computer program product comprising a computer program which, when executed by a processor, implements a display method according to any one of claims 1-7.