CN110718300A - Pathological diagnosis method based on data analysis - Google Patents
Pathological diagnosis method based on data analysis Download PDFInfo
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Abstract
The invention discloses a pathological diagnosis method based on data analysis, which specifically comprises the following steps: s1, the patient describes the disease according to the condition, the description is as detailed as possible, then the medical staff inputs the description of the patient into the disease description unit, and the information acquisition unit acquires the basic information of the patient, the image information can also be acquired, and the acquired information is converted and then transmitted to the pathological diagnosis center together with the disease description information; the invention relates to the technical field of pathological diagnosis. The pathological diagnosis method based on data analysis can perform automatic case analysis according to the information provided by the patient, avoids the problem that the effect is not good under the subjective diagnosis of a doctor, can continuously supplement and perfect the disease symptom database, improves the accuracy of case diagnosis, can communicate with the patient in time when the problem occurs, is convenient for comprehensively collecting the information of the patient and is convenient to operate.
Description
Technical Field
The invention relates to the technical field of pathological diagnosis, in particular to a pathological diagnosis method based on data analysis.
Background
Pathological diagnosis is to study the cause and pathogenesis of disease and the morphological structure and functional metabolic change of the diseased body in the disease process, thus providing necessary theoretical basis and practical basis for disease diagnosis, treatment and prevention, the pathological diagnosis is to take tumor specimens cut off by operation or autopsy, after fixed staining, to carry out histological examination under microscope to diagnose the disease, more on living human body, before treatment, to take tumor tissues by clamping, cutting or cutting method, after fixed staining, to carry out pathological diagnosis under microscope, the existing pathological diagnosis is generally treated under the subjective condition of pathologist, because the different levels of cognition of physicians lead to great difference of pathological diagnosis results and certain damage to patients, the pathological diagnosis method based on data analysis will be the future development direction, there are some drawbacks to this approach.
The traditional pathological diagnosis method based on data analysis cannot carry out automatic case analysis according to information provided by a patient, the effect of the subjective diagnosis of a doctor is not good, the disease symptom database cannot be continuously supplemented and perfected, the accuracy of case diagnosis is reduced, the doctor cannot communicate with the patient in time when the problem occurs, the diagnosis effect is difficult to guarantee, the comprehensive acquisition of the information of the patient is inconvenient, and the operation is inconvenient.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a pathological diagnosis method based on data analysis, and solves the problem that the overall effect of the pathological diagnosis method based on data analysis is not good.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a pathological diagnosis method based on data analysis specifically comprises the following steps:
s1, the patient describes the disease according to the condition, the description is as detailed as possible, then the medical staff inputs the description of the patient into the disease description unit, and the information acquisition unit acquires the basic information of the patient, the image information can also be acquired, and the acquired information is converted and then transmitted to the pathological diagnosis center together with the disease description information;
s2, creating a disease symptom database, realizing information interaction between the disease symptom database and a pathological diagnosis center, analyzing information entering the pathological diagnosis center through an information analysis module, transmitting the analyzed information to the pathological diagnosis module, comparing the information of the disease symptom database and the information of a patient through the pathological diagnosis module, and generating a diagnosis result through a pathological generation module;
s3, in the process of diagnosis, when the information provided by the user is found to be abnormal or insufficient, the pathological diagnosis center can generate corresponding question information and confirmation information, then the question information and the confirmation information are transmitted to the personal center through the communication unit, the personal center can pop up the information sent by the pathological diagnosis center, at the moment, medical care personnel can confirm and supplement the information of the patient according to the popped information, and after the answer is finished through the operating system, the pathological diagnosis center can better confirm the pathology;
s4, in the process of a user, the automatic updating unit can update the information in the disease symptom database in real time, so that the accuracy of pathological diagnosis is guaranteed;
s5, after the diagnosis is finished, the user can select to print the diagnosis result through the printing unit after clicking and printing, and can transmit the diagnosis information of this time to the disease symptom database through the data uploading unit, so that the disease symptom database can be better enriched.
Preferably, in S1, the image information is collected by generally using an automatic picture scanning technique, and then generating text.
Preferably, including disease description unit, information acquisition unit, information conversion unit and pathological diagnosis center, the output of disease description unit and the output of information acquisition unit all are connected with the input of information conversion unit to the output of information conversion unit is connected with the input of pathological diagnosis center, the pathological diagnosis center includes information analysis module, pathological diagnosis module and pathological generation module, the output of information analysis module is connected with the input of pathological diagnosis module, and the output of pathological diagnosis module is connected with the input of pathological generation module, realize two-way connection between pathological diagnosis module and the storage module.
Preferably, the pathological diagnosis center is connected with the communication unit in a bidirectional mode, the communication unit is connected with the personal center in a bidirectional mode, the personal center comprises an information confirmation module, a question asking module and a supplement module, and the input end of the personal center is connected with the output end of the operating system.
Preferably, the output end of the pathological diagnosis center is connected with the input end of the printing unit.
Preferably, the pathological diagnosis center is connected with the disease symptom database in a bidirectional mode.
Preferably, an input terminal of the disease symptom database is connected to an output terminal of the automatic updating unit, and an input terminal of the disease symptom database is connected to an output terminal of the data uploading unit.
(III) advantageous effects
The invention provides a pathological diagnosis method based on data analysis. The method has the following beneficial effects:
(1) the pathological diagnosis method based on data analysis specifically comprises the following steps: s1, the patient describes the disease according to the condition, the description is as detailed as possible, then the medical staff inputs the description of the patient into the disease description unit, and the information acquisition unit acquires the basic information of the patient, the image information can also be acquired, and the acquired information is converted and then transmitted to the pathological diagnosis center together with the disease description information; the system can perform automatic case analysis according to the information provided by the patient, avoids the problem that the effect is not good under the subjective diagnosis of doctors, can continuously supplement and perfect the disease symptom database, improves the accuracy of case diagnosis, can communicate with the patient in time when the problem occurs, and further ensures the diagnosis effect.
(2) The pathological diagnosis method based on data analysis, through S1, image information is collected by generally adopting an automatic picture scanning technology, then text is generated, the output end of a disease description unit and the output end of an information collection unit are both connected with the input end of an information conversion unit, the output end of the information conversion unit is connected with the input end of a pathological diagnosis center, the pathological diagnosis center comprises an information analysis module, a pathological diagnosis module and a pathological generation module, the output end of the information analysis module is connected with the input end of the pathological diagnosis module, the output end of the pathological diagnosis module is connected with the input end of the pathological generation module, bidirectional connection is realized between the pathological diagnosis module and a storage module, comprehensive collection of information of a patient is facilitated, and operation is facilitated.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention;
fig. 2 is a schematic block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, an embodiment of the present invention provides a technical solution: a pathological diagnosis method based on data analysis specifically comprises the following steps:
s1, the patient describes the disease according to the condition, the description is as detailed as possible, then the medical staff inputs the description of the patient into the disease description unit, and the information acquisition unit acquires the basic information of the patient, the image information can also be acquired, and the acquired information is converted and then transmitted to the pathological diagnosis center together with the disease description information;
s2, creating a disease symptom database, realizing information interaction between the disease symptom database and a pathological diagnosis center, analyzing information entering the pathological diagnosis center through an information analysis module, transmitting the analyzed information to the pathological diagnosis module, comparing the information of the disease symptom database and the information of a patient through the pathological diagnosis module, and generating a diagnosis result through a pathological generation module;
s3, in the process of diagnosis, when the information provided by the user is found to be abnormal or insufficient, the pathological diagnosis center can generate corresponding question information and confirmation information, then the question information and the confirmation information are transmitted to the personal center through the communication unit, the personal center can pop up the information sent by the pathological diagnosis center, at the moment, medical care personnel can confirm and supplement the information of the patient according to the popped information, and after the answer is finished through the operating system, the pathological diagnosis center can better confirm the pathology;
s4, in the process of a user, the automatic updating unit can update the information in the disease symptom database in real time, so that the accuracy of pathological diagnosis is guaranteed;
s5, after the diagnosis is finished, the user can select to print the diagnosis result through the printing unit after clicking and printing, and can transmit the diagnosis information of this time to the disease symptom database through the data uploading unit, so that the disease symptom database can be better enriched.
In the present invention, in S1, the image information is collected by generally adopting an automatic picture scanning technique, and then generating a text.
The pathological diagnosis center comprises an information analysis module, a pathological diagnosis module and a pathological generation module, wherein the output end of the information analysis module is connected with the input end of the pathological diagnosis module, the output end of the pathological diagnosis module is connected with the input end of the pathological generation module, and the pathological diagnosis module is bidirectionally connected with a storage module.
In the invention, the pathological diagnosis center is connected with the communication unit in a bidirectional way, the communication unit is connected with the personal center in a bidirectional way, the personal center comprises an information confirmation module, a question asking module and a supplement module, and the input end of the personal center is connected with the output end of the operating system.
In the invention, the output end of the pathological diagnosis center is connected with the input end of the printing unit.
In the invention, the pathological diagnosis center and the disease symptom database are connected in a bidirectional way.
In the invention, the input end of the disease symptom database is connected with the output end of the automatic updating unit, and the input end of the disease symptom database is connected with the output end of the data uploading unit.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A method of pathological diagnosis based on data analysis, characterized by: the method specifically comprises the following steps:
s1, the patient describes the disease according to the condition, the description is as detailed as possible, then the medical staff inputs the description of the patient into the disease description unit, and the information acquisition unit acquires the basic information of the patient, the image information can also be acquired, and the acquired information is converted and then transmitted to the pathological diagnosis center together with the disease description information;
s2, creating a disease symptom database, realizing information interaction between the disease symptom database and a pathological diagnosis center, analyzing information entering the pathological diagnosis center through an information analysis module, transmitting the analyzed information to the pathological diagnosis module, comparing the information of the disease symptom database and the information of a patient through the pathological diagnosis module, and generating a diagnosis result through a pathological generation module;
s3, in the process of diagnosis, when the information provided by the user is found to be abnormal or insufficient, the pathological diagnosis center can generate corresponding question information and confirmation information, then the question information and the confirmation information are transmitted to the personal center through the communication unit, the personal center can pop up the information sent by the pathological diagnosis center, at the moment, medical care personnel can confirm and supplement the information of the patient according to the popped information, and after the answer is finished through the operating system, the pathological diagnosis center can better confirm the pathology;
s4, in the process of a user, the automatic updating unit can update the information in the disease symptom database in real time, so that the accuracy of pathological diagnosis is guaranteed;
s5, after the diagnosis is finished, the user can select to print the diagnosis result through the printing unit after clicking and printing, and can transmit the diagnosis information of this time to the disease symptom database through the data uploading unit, so that the disease symptom database can be better enriched.
2. The method of claim 1, wherein the pathological diagnosis based on data analysis comprises: in S1, the image information is collected by generally using an automatic picture scanning technique, and then text is generated.
3. The pathological diagnosis method based on data analysis according to claim 1, comprising a disease description unit, an information acquisition unit, an information conversion unit and a pathological diagnosis center, wherein the output end of the disease description unit and the output end of the information acquisition unit are both connected with the input end of the information conversion unit, and the output end of the information conversion unit is connected with the input end of the pathological diagnosis center, and the pathological diagnosis method is characterized in that: the pathological diagnosis center comprises an information analysis module, a pathological diagnosis module and a pathological generation module, wherein the output end of the information analysis module is connected with the input end of the pathological diagnosis module, the output end of the pathological diagnosis module is connected with the input end of the pathological generation module, and the pathological diagnosis module is in bidirectional connection with the storage module.
4. The pathological diagnosis method based on data analysis according to claim 3, wherein: the pathological diagnosis center is connected with the communication unit in a bidirectional mode, the communication unit is connected with the personal center in a bidirectional mode, the personal center comprises an information confirmation module, a question asking module and a supplement module, and the input end of the personal center is connected with the output end of the operating system.
5. The pathological diagnosis method based on data analysis according to claim 3, wherein: the output end of the pathological diagnosis center is connected with the input end of the printing unit.
6. The pathological diagnosis method based on data analysis according to claim 3, wherein: the pathological diagnosis center is connected with the disease symptom database in a bidirectional way.
7. The method of claim 6, wherein the pathological diagnosis based on data analysis comprises: the input end of the disease symptom database is connected with the output end of the automatic updating unit, and the input end of the disease symptom database is connected with the output end of the data uploading unit.
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