CN106599574A - Diagnosis and treatment data analysis method and system based on medical information platform - Google Patents
Diagnosis and treatment data analysis method and system based on medical information platform Download PDFInfo
- Publication number
- CN106599574A CN106599574A CN201611146196.0A CN201611146196A CN106599574A CN 106599574 A CN106599574 A CN 106599574A CN 201611146196 A CN201611146196 A CN 201611146196A CN 106599574 A CN106599574 A CN 106599574A
- Authority
- CN
- China
- Prior art keywords
- disease
- key word
- diagnosis
- association
- word
- 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.)
- Granted
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
Abstract
The invention provides a diagnosis and treatment data analysis method and system based on a medical information platform. The method comprises following steps: (1) setting keywords associated with diseases according to diagnosis and treatment data of the medical information platform and renewing the keywords through a data self-training method at any moment; (2) determining associated diseases in a way that members input or select the keywords; (3) obtaining the keywords representing only symptoms of all diseases by narrowing the range through word frequency statistics; (4) determining the diseases and giving out treatment schemes according to only symptoms of all diseases. The diagnosis and treatment data analysis method and system based on the medical information platform have following beneficial effects: participation of members and information on the diagnosis and treatment data which are accumulated through interactions can be fully utilized by the medical information platform, which provides more precise analysis and diagnosis and treatment information services to the members.
Description
Technical field
The invention belongs to computerized information field, especially relates to a kind of diagnosis and treatment data for medical information platform point
Analysis method and system.
Background technology
Quickly, life stress is also very big, and this is just brought very for the healthy of people for the rhythm of life of people at this stage
Many secret worries.People are once healthy to go wrong, first-selected Shi Qu hospitals, but the people seen a doctor in hospital seems eternal right and wrong again
Chang Duo, even some little symptom, the flow process entirely seen a doctor is got off and can be taken a lot of time；And if when people feel to delay
Between, be unwilling hospital, simply buys a little medicines according to the experience of oneself and takes, and so is possible to miss golden hour again, indulges in
Miss the state of an illness.
Based on this phenomenon, occur in that in prior art and people can be helped to carry out disease inquiry, the net of Couple herbs exchange
Network information platform, people can add information platform as member, according to the health status of itself, by information platform
Hold, with reference to the situation of itself, the judgement at initial stage is first carried out to the sufferer of oneself, symptom is slight, can be according to information platform
Content carries out self simple treatment, during the adventurous development trend of symptom, then goes hospitalize.
In sum, medical information platform can pass through the addition and interaction of member, how accumulate many diagnosis and treatment data messages
These information are analyzed and utilize, the member for platform provides deeper service, becomes and needs the problem for considering and solving badly.
The content of the invention
The problem to be solved in the present invention is a kind of diagnosis and treatment data analysing method and system based on medical information platform of design,
The diagnosis and treatment data of the various sufferers collected to platform are analyzed, and provide deeper service for platform member.
In order to achieve the above object, the technical scheme taken of the present invention is：A kind of diagnosis and treatment number based on medical information platform
According to analysis method, including：
(1) key word of the diagnosis and treatment data according to medical information platform, setting and disease association, and pass through data self-training
Method update at any time；
(2) key word for being input into by member or being selected, judges association disease；
(3) further reduced the scope by word frequency statisticses, obtain representing the key word that each disease uniquely refers to disease；
Which kind of (4) uniquely refer to disease according to each disease to be judged as disease and provide therapeutic scheme.
Further, in step (1) methods described, each crucial word association more than one disease, every kind of disease have one
Key word more than individual, key word are updated by data self-training with associating for disease.
Further, in step (2), it is allowed to which member is input into or each key word of selection associates a disease, and
Which how much more relevant with disease to determine whether occurred according to association symptom.
Further, the concrete grammar of step (3) is：
(301) identical disease key word is looked in association disease, carry out word frequency statisticses；
(302) there are most key words in word frequency statisticses, propose problem according to its symptom for associating；
(303) further reduced the scope according to the answer of member, incongruent disease is removed；
(304) execution step (301) and (303) repeatedly, till there is no to associate the symptom appearance of more than 2 times.
Further, the concrete grammar of step (4) is：
(401) uniquely refer to the sequencing of the key word of disease according to each disease, propose problem one by one；
(402) until member verification, stop and be judged as this disease；
(403), after making a definite diagnosis, system meeting automatic screening recommends patient with the treatment history that this disease has same names.
Another aspect of the present invention, additionally provides a kind of diagnosis and treatment data analysis system based on medical information platform, including：
Key word setting module：For the key word of the diagnosis and treatment data according to medical information platform, setting and disease association,
And the method by data self-training updates at any time；
Just sentence module, for the key word being input into by member or select, judge association disease；
Statistical module, for further reducing the scope by word frequency statisticses, obtains representing the pass that each disease uniquely refers to disease
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 key word setting module, including keyword management unit, disease control unit, updating block,
For more than one disease of each crucial word association, every kind of disease has a more than one key word, the pass of key word and disease
UNICOM crosses data self-training and is updated.
Further, it is described just to sentence module and include member's interactive unit, for allow member's input or select each
Key word all associates a disease, and how much more relevant with which disease to determine whether is occurred according to association symptom.
Further, the statistical module includes：
Unit is looked for, and for identical disease key word being looked in association disease, carries out word frequency statisticses；
Unit is putd question to, most key words occurs for word frequency statisticses, problem is proposed according to its symptom for associating；
Range cells, further reduce the scope for the answer according to member, and incongruent disease is removed；
Screening unit, looks for unit, puts question to unit, range cells for repeatable operation, until without association more than 2 times
Till symptom occurs.
Further, the diagnosis and treatment module includes：
Unit is putd question in diagnosis and treatment, for uniquely referring to the sequencing of the key word of disease according to each disease, proposes problem one by one；
Confirmation unit, for until member verification, stopping and being judged as this disease；
Recommendation unit, after making a definite diagnosis, the treatment history that system meeting automatic screening has same names with this disease is recommended
Patient.
Beneficial effects of the present invention are：By the present invention, the addition of member and interactive institute can be passed through to medical information platform
The diagnosis and treatment data message of accumulation carries out profound utilization, and more accurately analysis, medical information service are provided to member.
Description of the drawings
Fig. 1 is the schematic diagram in the embodiment of the present invention.
Specific embodiment
With reference to specific embodiment, the present invention will be further described.
As shown in figure 1, the present invention proposes a kind of diagnosis and treatment data analysing method based on medical information platform, including：
(1) key word of the diagnosis and treatment data according to medical information platform, setting and disease association, and pass through data self-training
Method update at any time；Each crucial word association more than one disease, every kind of disease have more than one key word, key word
It is updated by data self-training with associating for disease.
(2) key word for being input into by member or being selected, judges association disease；Each key that member is input into or selects
Word all associates a disease, and how much more relevant with which disease to determine whether is occurred according to association symptom.
(3) further reduced the scope by word frequency statisticses, obtain representing the key word that each disease uniquely refers to disease；Reducing
After scope, such as 10 diseases are drawn a circle to approve, in this 10 diseases, counted the symptom that patient is not input into, which word is in 10 diseases
Middle appearance it is most, then propose problem according to the symptom, such as whether you have symptom snottyIf patient answers,
Further reduce the scope, the not disease with the symptom is removed；Vice versa.So screening is gone down from level to level, until not having 2
Till symptom more than secondary occurs, detailed process is：
(301) identical disease key word is looked in association disease, carry out word frequency statisticses；
(302) there are most key words in word frequency statisticses, propose problem according to its symptom for associating；
(303) further reduced the scope according to the answer of member, incongruent disease is removed；
(304) execution step (301) and (303) repeatedly, till there is no to associate the symptom appearance of more than 2 times.
Which kind of (4) uniquely refer to disease according to each disease to be judged as disease and provide therapeutic scheme.After previous step terminates, remain
Under disease between do not have repeat symptom, only different with other diseases symptoms, this for uniquely finger disease.According to remaining disease
Sequencing, put question in turn.It is to stop and be judged as this disease until patient answers.After making a definite diagnosis, system can automatic screening with
The treatment history that this disease has same names recommends patient.
Detailed process is：
(401) uniquely refer to the sequencing of the key word of disease according to each disease, propose problem one by one；
(402) until member verification, stop and be judged as this disease；
(403), after making a definite diagnosis, system meeting automatic screening recommends patient with the treatment history that this disease has same names.
The foregoing is only the present invention specific embodiment, the protection domain being not intended to limit the present invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution and improvements done etc. should be included in the protection of the present invention
Within the scope of.
Claims (10)
1. a kind of diagnosis and treatment data analysing method based on medical information platform, it is characterised in that include：
(1) key word of the diagnosis and treatment data according to medical information platform, setting and disease association, and by the side of data self-training
Method updates at any time；
(2) key word for being input into by member or being selected, judges association disease；
(3) further reduced the scope by word frequency statisticses, obtain representing the key word that each disease uniquely refers to disease；
Which kind of (4) uniquely refer to disease according to each disease to be judged as disease and provide therapeutic scheme.
2. method according to claim 1, it is characterised in that in step (1) methods described, each crucial word association are a kind of
Disease above, every kind of disease have more than one key word, and key word is carried out more by data self-training with associating for disease
Newly.
3. method according to claim 1, it is characterised in that in step (2), it is allowed to member be input into or select each
Key word all associates a disease, and how much more relevant with which disease to determine whether is occurred according to association symptom.
4. method according to claim 1, it is characterised in that the concrete grammar of step (3) is：
(301) identical disease key word is looked in association disease, carry out word frequency statisticses；
(302) there are most key words in word frequency statisticses, propose problem according to its symptom for associating；
(303) further reduced the scope according to the answer of member, incongruent disease is removed；
(304) execution step (301) and (303) repeatedly, till there is no to associate the symptom appearance of more than 2 times.
5. method according to claim 1, it is characterised in that the concrete grammar of step (4) is：
(401) uniquely refer to the sequencing of the key word of disease according to each disease, propose problem one by one；
(402) until member verification, stop and be judged as this disease；
(403), after making a definite diagnosis, system meeting automatic screening recommends patient with the treatment history that this disease has same names.
6. a kind of diagnosis and treatment data analysis system based on medical information platform, it is characterised in that include：
Key word setting module：For the key word of the diagnosis and treatment data according to medical information platform, setting and disease association, and lead to
The method for crossing data self-training updates at any time；
Just sentence module, for the key word being input into by member or select, judge association disease；
Statistical module, for further reducing the scope by word frequency statisticses, obtains representing the key word that each disease uniquely refers to disease；
Which kind of disease is diagnosis and treatment module, be judged as uniquely referring to disease according to each disease and provide therapeutic scheme.
7. system according to claim 6, it is characterised in that the key word setting module, including keyword management list
Unit, disease control unit, updating block, for more than one disease of each crucial word association, every kind of disease has more than one
Key word, key word is updated by data self-training with associating for disease.
8. system according to claim 6, it is characterised in that described just sentencing module includes member's interactive unit, for permitting
Perhaps member's input or each key word for selecting associate a disease, and occur how much coming further to sentence according to association symptom
It is disconnected more relevant with which disease.
9. system according to claim 6, it is characterised in that the statistical module includes：
Unit is looked for, and for identical disease key word being looked in association disease, carries out word frequency statisticses；
Unit is putd question to, most key words occurs for word frequency statisticses, problem is proposed according to its symptom for associating；
Range cells, further reduce the scope for the answer according to member, and incongruent disease is removed；
Screening unit, looks for unit, puts question to unit, range cells for repeatable operation, until not having the symptom for associating more than 2 times
Till appearance.
10. system according to claim 6, it is characterised in that the diagnosis and treatment module includes：
Unit is putd question in diagnosis and treatment, for uniquely referring to the sequencing of the key word of disease according to each disease, proposes problem one by one；
Confirmation unit, for until member verification, stopping and being judged as this disease；
Recommendation unit, after making a definite diagnosis, system meeting automatic screening recommends patient with the treatment history that this disease has same names.
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 true CN106599574A (en) | 2017-04-26 |
| CN106599574B 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) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN109147931A (en) * | 2017-06-16 | 2019-01-04 | 宏达国际电子股份有限公司 | Computer-aided medical service law, non-transient computer-readable storage medium and medical system |
| 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 (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060074720A1 (en) * | 2004-09-21 | 2006-04-06 | Alfons Brutting | Medical planning agent |
| CN104102816A (en) * | 2014-06-20 | 2014-10-15 | 周晋 | Symptom match and machine learning-based automatic diagnosis system and method |
| 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 |
| 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 |
| 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 |
-
2016
- 2016-12-13 CN CN201611146196.0A patent/CN106599574B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060074720A1 (en) * | 2004-09-21 | 2006-04-06 | Alfons Brutting | Medical planning agent |
| CN104102816A (en) * | 2014-06-20 | 2014-10-15 | 周晋 | Symptom match and machine learning-based automatic diagnosis system and method |
| 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 |
| 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 |
| 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 |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109147931A (en) * | 2017-06-16 | 2019-01-04 | 宏达国际电子股份有限公司 | Computer-aided medical service law, non-transient computer-readable storage medium and medical system |
| CN109147931B (en) * | 2017-06-16 | 2022-04-19 | 宏达国际电子股份有限公司 | Computer-assisted medical treatment, non-transitory computer-readable storage medium and medical treatment system |
| US11361865B2 (en) | 2017-06-16 | 2022-06-14 | Htc Corporation | Computer aided medical method and medical system for medical prediction |
| US11488718B2 (en) | 2017-06-16 | 2022-11-01 | 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106599574B (en) | 2019-04-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Saey et al. | Active mind‐body movement therapies as an adjunct to or in comparison with pulmonary rehabilitation for people with chronic obstructive pulmonary disease | |
| CN106599574A (en) | Diagnosis and treatment data analysis method and system based on medical information platform | |
| Hudson et al. | Reducing the psychological distress of family caregivers of home‐based palliative care patients: short‐term effects from a randomised controlled trial | |
| Lousberg et al. | Psychometric properties of the Multidimensional Pain Inventory, Dutch language version (MPI-DLV) | |
| Rimer et al. | Exercise for depression | |
| Ivers et al. | Interventions supporting long term adherence and decreasing cardiovascular events after myocardial infarction (ISLAND): pragmatic randomised controlled trial | |
| CN105678066B (en) | The disease autodiagnosis method and system of data training are completed based on field feedback | |
| Sheppard et al. | Patient satisfaction with physiotherapy in the emergency department | |
| Moliver et al. | Yoga experience as a predictor of psychological wellness in women over 45 years | |
| CA2666569C (en) | Dialysis information management system | |
| Martire et al. | Couple-oriented education and support intervention: Effects on individuals with osteoarthritis and their spouses. | |
| CN110010214A (en) | It is a kind of to be classified change the place of examination device, system and computer readable storage medium | |
| CN104463754A (en) | Method for building medical ontology database based on disease characteristics | |
| CN113744819B (en) | Follow-up state management method and device | |
| Zhang et al. | The relationship between internet use and mental health among older adults in China: the mediating role of physical exercise | |
| Jacobs et al. | Variation in ventilation time after coronary artery bypass grafting: an analysis from the society of thoracic surgeons adult cardiac surgery database | |
| CN106777966A (en) | Data interactive training method and system based on medical information platform | |
| Pott et al. | Is behavioral activation an effective and acceptable treatment for co-occurring depression and substance use disorders? A meta-analysis of randomized controlled trials | |
| Gettler et al. | The roles of parents in shaping fathering across generations in Cebu, Philippines | |
| Tran et al. | Health-related work productivity loss is low for patients in a methadone maintenance program in Vietnam | |
| Ebenstein et al. | The impact of ultrasound technology on the status of women in China | |
| Fraenkel et al. | Patient willingness to take teriparatide | |
| Cardozo Gonzáles et al. | Performance indicators of DOT at home for tuberculosis control in a large city, SP, Brazil | |
| Alexandre et al. | Telerehabilitation versus conventional face‐to‐face land‐based exercises following hip or knee arthroplasty | |
| CN108806801A (en) | Medical follow up method and apparatus |
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 |