CN106599574B - Diagnosis and treatment data analysing method and system based on medical information platform - Google Patents
Diagnosis and treatment data analysing method and system based on medical information platform Download PDFInfo
- Publication number
- CN106599574B CN106599574B CN201611146196.0A CN201611146196A CN106599574B CN 106599574 B CN106599574 B CN 106599574B CN 201611146196 A CN201611146196 A CN 201611146196A CN 106599574 B CN106599574 B CN 106599574B
- Authority
- CN
- China
- Prior art keywords
- disease
- keyword
- diagnosis
- unit
- medical information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Data Mining & Analysis (AREA)
- Biomedical Technology (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The present invention provides a kind of diagnosis and treatment data analysing method and system based on medical information platform, it include: the diagnosis and treatment data of (1) according to medical information platform, the keyword of setting and disease association, and the keyword that (2) are inputted or selected by member is updated by the method for data self-training at any time, judge to be associated with disease；(3) range is further reduced by word frequency statistics, obtains to indicate that each disease uniquely refers to the keyword of disease；(4) disease is uniquely referred to according to each disease to be judged as which kind of disease and provide therapeutic scheme.Through the invention, profound utilization can be carried out by the diagnosis and treatment data information that the addition and interaction of member is accumulated to medical information platform, provides more accurately analysis, medical information service to member.
Description
Technical field
The invention belongs to computerized information fields, especially relate to a kind of diagnosis and treatment data for medical information platform point
Analyse method and system.
Background technique
Quickly, life stress is also very big, this is just that the health of people is brought very for people's lives rhythm at this stage
More secret worries.Once people's health goes wrong, first choice is hospital, but the people seen a doctor in hospital seems eternal right and wrong again
Chang Duo, even some small symptom, the process entirely seen a doctor, which is got off, to be taken a lot of time；And if when people feel to delay
Between, be unwilling hospital, only buys a little medicines according to the experience of oneself and takes, and is possible to miss golden hour again in this way, indulge in
The accidentally state of an illness.
Based on this phenomenon, occurs the net that people can be helped to carry out disease inquiry, Couple herbs exchange in the prior art
Information platform can be added as member, according to the health status of itself, by information platform in network information platform, people
Hold, in conjunction with the situation of itself, first carry out the judgement at initial stage to oneself sufferer, symptom is slight, can be according to information platform
Content carry out self it is simple treat, when the dangerous development trend of symptom, then go hospitalize.
In conclusion how medical information platform can accumulate many diagnosis and treatment data informations by the addition and interaction of member
These information are analyzed and utilized, deeper service is provided for the member of platform, becomes and need to consider the problems of and solve.
Summary of the invention
The problem to be solved in the present invention is to design a kind of diagnosis and treatment data analysing method and system based on medical information platform,
The diagnosis and treatment data for the various sufferers that platform summarizes are analyzed, provide deeper service for platform member.
In order to achieve the above object, the technical scheme adopted by the invention is as follows: a kind of diagnosis and treatment number based on medical information platform
According to analysis method, comprising:
(1) according to the diagnosis and treatment data of medical information platform, the keyword of setting and disease association, and pass through data self-training
Method update at any time；
(2) keyword for inputting or selecting by member judges to be associated with disease；
(3) range is further reduced by word frequency statistics, obtains to indicate that each disease uniquely refers to the keyword of disease；
(4) disease is uniquely referred to according to each disease to be judged as which kind of disease and provide therapeutic scheme.
Further, in step (1) the method, each more than one disease of key word association, every kind of disease has one
A above keyword, keyword are updated with being associated with for disease by data self-training.
Further, in step (2), each keyword for allowing member to input or select is associated with a disease, and
Which occurred according to association symptom how many more relevant with disease further to judge.
Further, step (3) method particularly includes:
(301) identical illness keyword is looked in association disease, carries out word frequency statistics；
(302) there is most keywords in word frequency statistics, propose problem according to associated symptom；
(303) range is further reduced according to the answer of member, incongruent disease is removed；
(304) step (301) and (303) are executed repeatedly, until occurring without association 2 times or more symptoms.
Further, step (4) method particularly includes:
(401) sequencing for uniquely referring to the keyword of disease according to each disease, proposes problem one by one；
(402) until member verification, stop and judge disease thus；
(403) after making a definite diagnosis, there is the treatment history of same names to recommend patient for system meeting automatic screening and this disease.
Another aspect of the present invention additionally provides a kind of diagnosis and treatment data analysis system based on medical information platform, comprising:
Keyword setting module: for the diagnosis and treatment data according to medical information platform, setting the keyword with disease association,
And it is updated at any time by the method for data self-training；
Just sentence module, the keyword for inputting or selecting by member judges to be associated with disease；
Statistical module obtains to indicate that each disease uniquely refers to the pass of disease for further reducing range by word frequency statistics
Keyword；
Which kind of disease is diagnosis and treatment module be judged as uniquely referring to disease according to each disease and provide therapeutic scheme.
Further, the keyword setting module, including keyword management unit, disease control unit, updating unit,
For more than one disease of each crucial word association, every kind of disease has more than one keyword, the pass of keyword and disease
Connection is crossed data self-training and is updated.
It is further, described that just to sentence module include member's interactive unit, for allow member to input or selection each
Keyword is all associated with a disease, and how many more relevant with which disease further to judge according to association symptom appearance.
Further, the statistical module includes:
Unit is looked for, for looking for identical illness keyword in association disease, carries out word frequency statistics；
Unit is putd question to, occurs most keywords for word frequency statistics, proposes problem according to associated symptom；
Range cells remove incongruent disease for further reducing range according to the answer of member；
Screening unit looks for unit, enquirement unit, range cells for operating repeatedly, until without association 2 times or more
Until symptom occurs.
Further, the diagnosis and treatment module includes:
Unit is putd question in diagnosis and treatment, and the sequencing of the keyword for uniquely referring to disease according to each disease proposes problem one by one；
Confirmation unit, for stopping and judging disease thus until member verification；
Recommendation unit, after making a definite diagnosis, system meeting automatic screening with this disease there is the treatment history of same names to recommend
Patient.
It, can addition by member and interaction institute to medical information platform the invention has the benefit that through the invention
The diagnosis and treatment data information of accumulation carries out profound utilization, provides more accurately analysis, medical information service to member.
Detailed description of the invention
Fig. 1 is the schematic diagram in the embodiment of the present invention.
Specific embodiment
The present invention will be further described combined with specific embodiments below.
As shown in Figure 1, the present invention proposes a kind of diagnosis and treatment data analysing method based on medical information platform, comprising:
(1) according to the diagnosis and treatment data of medical information platform, the keyword of setting and disease association, and pass through data self-training
Method update at any time；Each more than one disease of key word association, every kind of disease have more than one keyword, keyword
It is updated with being associated with for disease by data self-training.
(2) keyword for inputting or selecting by member judges to be associated with disease；Each of member's input or selection are crucial
Word is all associated with a disease, and how many more relevant with which disease further to judge according to association symptom appearance.
(3) range is further reduced by word frequency statistics, obtains to indicate that each disease uniquely refers to the keyword of disease；It is reducing
After range, such as 10 diseases are drawn a circle to approve, the symptom that patient does not input has been counted in this 10 diseases, which word is in 10 diseases
Middle appearance it is most, then propose problem according to the symptom, for example you have symptom snotty? if patient answers,
Range is further reduced, the disease for not having the symptom is removed；Vice versa.Screening is gone down from level to level in this way, until no 2
Until the secondary above symptom occurs, detailed process are as follows:
(301) identical illness keyword is looked in association disease, carries out word frequency statistics；
(302) there is most keywords in word frequency statistics, propose problem according to associated symptom；
(303) range is further reduced according to the answer of member, incongruent disease is removed；
(304) step (301) and (303) are executed repeatedly, until occurring without association 2 times or more symptoms.
(4) disease is uniquely referred to according to each disease to be judged as which kind of disease and provide therapeutic scheme.After previous step, remain
Under disease between there is no duplicate symptom, the only symptom different with other diseases, this for uniquely finger disease.According to remaining disease
Sequencing, put question in turn.It is to stop and judge disease thus until patient answers.After making a definite diagnosis, system can automatic screening with
There is this disease the treatment history of same names to recommend patient.
Detailed process are as follows:
(401) sequencing for uniquely referring to the keyword of disease according to each disease, proposes problem one by one；
(402) until member verification, stop and judge disease thus；
(403) after making a definite diagnosis, there is the treatment history of same names to recommend patient for system meeting automatic screening and this disease.
The above is only a specific embodiment of the present invention, is not intended to limit the scope of protection of the present invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution, improvement and etc. done should be included in protection of the invention
Within the scope of.
Claims (5)
1. a kind of diagnosis and treatment data analysis system based on medical information platform characterized by comprising
Keyword setting module: for the diagnosis and treatment data according to medical information platform, the keyword of setting and disease association, and lead to
The method for crossing data self-training updates at any time；
Just sentence module, the keyword for inputting or selecting by member judges to be associated with disease；
Statistical module obtains to indicate that each disease uniquely refers to the keyword of disease for further reducing range by word frequency statistics；
Which kind of disease is diagnosis and treatment module be judged as uniquely referring to disease according to each disease and provide therapeutic scheme.
2. system according to claim 1, which is characterized in that the keyword setting module, including keyword management list
Member, disease control unit, updating unit, for more than one disease of each crucial word association, every kind of disease has more than one
Keyword, keyword is updated with being associated with for disease by data self-training.
3. system according to claim 1, which is characterized in that sentencing module at the beginning of described includes member's interactive unit, for permitting
Perhaps each keyword of member's input or selection is associated with a disease, and occurs how many further sentencing according to association symptom
It is disconnected more relevant with which disease.
4. system according to claim 1, which is characterized in that the statistical module includes:
Unit is looked for, for looking for identical illness keyword in association disease, carries out word frequency statistics；
Unit is putd question to, occurs most keywords for word frequency statistics, proposes problem according to associated symptom；
Range cells remove incongruent disease for further reducing range according to the answer of member；
Screening unit looks for unit, enquirement unit, range cells for operating repeatedly, until without association 2 times or more symptoms
Until appearance.
5. system according to claim 1, which is characterized in that the diagnosis and treatment module includes:
Unit is putd question in diagnosis and treatment, and the sequencing of the keyword for uniquely referring to disease according to each disease proposes problem one by one；
Confirmation unit, for stopping and judging disease thus until member verification；
Recommendation unit, after making a definite diagnosis, there is the treatment history of same names to recommend patient for system meeting automatic screening and this disease.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611146196.0A CN106599574B (en) | 2016-12-13 | 2016-12-13 | Diagnosis and treatment data analysing method and system based on medical information platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611146196.0A CN106599574B (en) | 2016-12-13 | 2016-12-13 | Diagnosis and treatment data analysing method and system based on medical information platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106599574A CN106599574A (en) | 2017-04-26 |
| CN106599574B true CN106599574B (en) | 2019-04-30 |
Family
ID=58802187
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611146196.0A Active CN106599574B (en) | 2016-12-13 | 2016-12-13 | Diagnosis and treatment data analysing method and system based on medical information platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106599574B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10854335B2 (en) | 2017-06-16 | 2020-12-01 | Htc Corporation | Computer aided medical method and medical system for medical prediction |
| CN108766558A (en) * | 2018-05-15 | 2018-11-06 | 京东方科技集团股份有限公司 | A kind of method, apparatus of information processing, computer storage media and terminal |
| CN109346171A (en) * | 2018-10-31 | 2019-02-15 | 北京惠每云科技有限公司 | A kind of aided diagnosis method, device and computer equipment |
| CN110797102A (en) * | 2019-10-31 | 2020-02-14 | 复旦大学附属中山医院 | Diagnostic report generation system and medical diagnosis system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104102816A (en) * | 2014-06-20 | 2014-10-15 | 周晋 | Symptom match and machine learning-based automatic diagnosis system and method |
| CN104484845A (en) * | 2014-12-30 | 2015-04-01 | 天津迈沃医药技术有限公司 | Disease self-analysis method based on medical ontology database |
| CN104484844A (en) * | 2014-12-30 | 2015-04-01 | 天津迈沃医药技术有限公司 | Self-diagnosis method based on disease circle data information |
| CN105205337A (en) * | 2015-10-15 | 2015-12-30 | 上海楚腾信息技术有限公司 | Supplementary reproduction specialist therapeutic schedule recommendation system based on natural language vocabulary analysis |
| CN105678066A (en) * | 2015-12-31 | 2016-06-15 | 天津迈沃医药技术有限公司 | Disease self-diagnosing method and system for completing data training based on user feedback information |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060074720A1 (en) * | 2004-09-21 | 2006-04-06 | Alfons Brutting | Medical planning agent |
-
2016
- 2016-12-13 CN CN201611146196.0A patent/CN106599574B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104102816A (en) * | 2014-06-20 | 2014-10-15 | 周晋 | Symptom match and machine learning-based automatic diagnosis system and method |
| CN104484845A (en) * | 2014-12-30 | 2015-04-01 | 天津迈沃医药技术有限公司 | Disease self-analysis method based on medical ontology database |
| CN104484844A (en) * | 2014-12-30 | 2015-04-01 | 天津迈沃医药技术有限公司 | Self-diagnosis method based on disease circle data information |
| CN105205337A (en) * | 2015-10-15 | 2015-12-30 | 上海楚腾信息技术有限公司 | Supplementary reproduction specialist therapeutic schedule recommendation system based on natural language vocabulary analysis |
| CN105678066A (en) * | 2015-12-31 | 2016-06-15 | 天津迈沃医药技术有限公司 | Disease self-diagnosing method and system for completing data training based on user feedback information |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106599574A (en) | 2017-04-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dautzenberg et al. | Interventions for preventing falls and fall‐related fractures in community‐dwelling older adults: a systematic review and network meta‐analysis | |
| CN106599574B (en) | Diagnosis and treatment data analysing method and system based on medical information platform | |
| Chambers et al. | Stigma, HIV and health: a qualitative synthesis | |
| Abeele et al. | Drug, demon, or donut? Theorizing the relationship between social media use, digital well-being and digital disconnection | |
| Thornicroft et al. | The balanced care model for global mental health | |
| Casey et al. | Patients’ perspectives on hemodialysis vascular access: a systematic review of qualitative studies | |
| Smye et al. | Harm reduction, methadone maintenance treatment and the root causes of health and social inequities: An intersectional lens in the Canadian context | |
| Doane et al. | The impact of individual and family treatment on the affective climate of families of schizophrenics | |
| Logan et al. | Stressors and coping of in‐hospital haemodialysis patients aged 65 years and over | |
| Doron‐LaMarca et al. | Temporal associations among chronic PTSD symptoms in US combat veterans | |
| Moliver et al. | Yoga experience as a predictor of psychological wellness in women over 45 years | |
| CN105678066B (en) | The disease autodiagnosis method and system of data training are completed based on field feedback | |
| CA2666569C (en) | Dialysis information management system | |
| Ohye et al. | Three-generation model: A family systems framework for the assessment and treatment of veterans with posttraumatic stress disorder and related conditions. | |
| CN110491486A (en) | A kind of medical services reservation scheduling method | |
| CN110010214A (en) | Grading referral device, grading referral system and computer readable storage medium | |
| CN106777966A (en) | Data interactive training method and system based on medical information platform | |
| Veysey et al. | Identity transformation and offender change 1 | |
| Raus et al. | How defining clinical practices may influence their evaluation: the case of continuous sedation at the end of life | |
| Ikemoto | In the shadow of race: Women of color in health disparities policy | |
| Liu et al. | Effects of burnout and work engagement in the relationship between self‐efficacy and safety behaviours—A chained mediation modelling analysis | |
| US20190051399A1 (en) | Emotional Wellness Management Support System and Methods Thereof | |
| Alexandre et al. | Telerehabilitation versus conventional face‐to‐face land‐based exercises following hip or knee arthroplasty | |
| Cardozo Gonzáles et al. | Performance indicators of DOT at home for tuberculosis control in a large city, SP, Brazil | |
| Sherman et al. | Intersectionality in nursing research: A scoping review |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |