CN105812463A - Disease early warning system and method based on medical big data - Google Patents
Disease early warning system and method based on medical big data Download PDFInfo
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- CN105812463A CN105812463A CN201610134909.5A CN201610134909A CN105812463A CN 105812463 A CN105812463 A CN 105812463A CN 201610134909 A CN201610134909 A CN 201610134909A CN 105812463 A CN105812463 A CN 105812463A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/40—Support for services or applications
Abstract
The invention provides to a disease early warning system and a method based on medical big data, the method comprises the steps: a medical information packet is acquired from a hospital information system, and the medical information packet is cut into a lot of medical data; disease date in each piece of medical data information is analyzed; historical weather information corresponding to the disease date in each medical data is acquired from a weather information platform, and each piece of medical data information is related to the corresponding historical weather information; the medical data related to the historical weather information is analyzed to acquire patients influenced by weather factors; weather forecast information is acquired from the weather information platform, so that if the weather influence degree of the patients is greater than disease influence factor can be judged; when the weather influence factor is greater than the disease influence factor, early warning information is generated and sent to client terminals corresponding to the patients. According to the invention, the system and the method can obtain the patients influenced by the weather factor and can warn the patients in time, so that the risk of patients of sick again influenced by the weather factor can be reduced.
Description
Technical field
The present invention relates to the big data processing field of medical treatment, particularly relate to a kind of disease warning system based on the big data of medical treatment and method.
Background technology
Recently as the Internet, cloud computing, the fast development of mobile communication and Internet of Things etc., immanent mobile equipment, RFID, wireless senser per minute is per second is all producing data, the Internet service of hundreds of millions of users is at every moment producing the mutual of flood tide, data volume to be processed is huge, data always all with annual 50% speed increment, and the real-time that data are processed by business demand and competitive pressure, effectiveness also been proposed requirements at the higher level, traditional routine techniques means are unable to cope with at all, therefore, big data technique (BigData) becomes a recent hot technology, cause and pay attention to widely.
The guess of medical science can be accelerated by big data technique, be found to the conversion of medical practice: by means of ever-increasing secret and open medical data, big data technique helps people store the good big data of medical treatment of management and be worth from the big scale of construction, high complicated extracting data, relevant medical skill, product will continue to bring out, it would be possible to medical industry developing one new golden age.
But, the Analysis of Medical Treatment Data system of present stage, when being analyzed processing for the big data of medical treatment, does not consider the impact of weather conditions, without according to weather condition, patient is carried out early warning, reduces the accuracy of the big data of medical treatment.
Summary of the invention
Present invention is primarily targeted at a kind of disease warning system based on the big data of medical treatment of offer and method, it is intended to solve the existing technical problem to patient being carried out by weather condition early warning in the big data handling procedure of medical treatment.
For achieving the above object, the invention provides a kind of disease warning system based on the big data of medical treatment, run in Cloud Server, described Cloud Server is connected with hospital information system, client terminal and Weather information platform by communication network, the described disease warning system based on the big data of medical treatment includes: data obtaining module, for obtaining medical information bag from described hospital information system, described medical information bag is cut into many medical datas, and resolves the ill date in every medical data；Information association module, for obtaining the weather history information corresponding to the ill date every medical data, and by every medical data and corresponding weather history information association from described Weather information platform；Data analysis module, for being analyzed the medical data associated by described weather history information obtaining the patient by inside even from weather；According to described weather forecast information, disease forecasting module, for obtaining weather forecast information from described Weather information platform, judges that described patient is subject to weather influence degree whether more than the sickness influence factor；Disease Warning Mechanism module, for as described patient more than described sickness influence because of the period of the day from 11 p.m. to 1 a.m, generate early warning information and be also sent to the client terminal corresponding to described patient.
Preferably, described medical data includes the contact method of patient's name, patient age, sick time, disease name, ill reason, nomenclature of drug, Quantity of drugs, physician names, medical section office, expense and patient.
Preferably, described weather history information includes place, temperature, wind direction, weather condition and air quality.
Preferably, the points for attention of the disease that described early warning information includes the disease suffered under patient's title, weather forecast information, identical weather condition and prevention is suffered from.
Preferably, described data analysis module is additionally operable to: being undertaken classifying by the medical data associated by weather history information obtains the quantity of every kind of disease name corresponding to weather history information and every kind of disease name；Quantity according to every kind of disease name calculates this disease weight by inside even from weather；When described weight exceedes preset value, then assert that this disease is by inside even from weather；In medical data, the patient by inside even from weather is retrieved according to the disease name by inside even from weather.
Present invention also offers a kind of disease pre-warning method based on the big data of medical treatment, it is applied in Cloud Server, described Cloud Server is connected with hospital information system, client terminal and Weather information platform by network, the method comprising the steps of: obtain medical information bag from described hospital information system, described medical information bag is cut into many medical datas；Resolve the ill date in every medical data；The weather history information corresponding to the ill date every medical data is obtained from described Weather information platform, and by every medical data and corresponding weather history information association；It is analyzed the medical data associated by weather history information obtaining the patient by inside even from weather；Weather forecast information is obtained from described Weather information platform；Judge that described patient is subject to weather influence degree whether more than the sickness influence factor according to described weather forecast information；As described patient more than described sickness influence because of the period of the day from 11 p.m. to 1 a.m, generate early warning information and be sent to the client terminal corresponding to described patient.
Preferably, described medical data includes the contact method of patient's name, patient age, sick time, disease name, ill reason, nomenclature of drug, Quantity of drugs, physician names, medical section office, expense and patient.
Preferably, described weather history information includes place, temperature, wind direction, weather condition and air quality.
Preferably, the points for attention of the disease that described early warning information includes the disease suffered under patient's title, weather forecast information, identical weather condition and prevention is suffered from.
Preferably, described medical data associated by weather history information is analyzed is comprised the steps: to classify the medical data associated by described weather history information to obtain the quantity of every kind of disease name corresponding to weather history information and every kind of disease name by the patient of inside even from weather with acquisition；Quantity according to every kind of disease name calculates this disease weight by inside even from weather；When described weight exceedes preset value, then assert that this disease is by inside even from weather；In medical data, the patient by inside even from weather is retrieved according to the disease name by inside even from weather.
Disease warning system based on the big data of medical treatment of the present invention and method adopt technique scheme, the technique effect brought is: can to the big data of medical treatment and weather history information association, by big for the medical treatment associated by weather history information Data Analysis Services to obtain being subject to the patient of inside even from weather, and to the described timely early warning of the patient by inside even from weather, reduce patient by inside even from weather and again ill risk.
Accompanying drawing explanation
Fig. 1 is the present invention applied environment schematic diagram based on the disease warning system preferred embodiment of the big data of medical treatment；
Fig. 2 is the present invention module diagram based on the disease warning system preferred embodiment of the big data of medical treatment；
Fig. 3 is the present invention flow chart based on the disease pre-warning method preferred embodiment of the big data of medical treatment；
Fig. 4 is the refinement flow chart of step S34 in Fig. 3.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Detailed description of the invention
For further setting forth that the present invention reaches technological means and effect that predetermined goal of the invention is taked, below in conjunction with accompanying drawing and preferred embodiment, to the specific embodiment of the present invention, structure, feature and effect thereof, describe in detail as follows.Should be appreciated that specific embodiment described herein is only in order to explain the present invention, is not intended to limit the present invention.
With reference to shown in Fig. 1, Fig. 1 is the present invention applied environment schematic diagram based on the disease warning system preferred embodiment of the big data of medical treatment.In the present embodiment, the described disease warning system 10 based on the big data of medical treatment runs on Cloud Server 1.Described Cloud Server 1 is by communication network 3 and the communication connection of one or more hospital information systems 2 (illustrating for two in Fig. 1), to connect 2 acquisition medical information bags from described hospital information system, and described medical information bag is cut into many medical datas.Owing to medical information bag is to obtain from multiple hospital information systems 2, the medical data that therefore Cloud Server 1 obtains is to have the big data (BigData) of medical treatment that multiple medical data is constituted.Described medical data includes, but it is not limited to, the information such as the contact method (such as, E-mail address, phone number, instant messaging account etc.) of patient's name, patient age, sick time, disease name, ill reason, nomenclature of drug, Quantity of drugs, physician names, medical section office, expense and patient.
Described communication network 3 can be wireline communication network or cordless communication network.In the present embodiment, described communication network 3 is preferably cordless communication network, includes but not limited to, the wireless-transmission network such as GSM network, GPRS network, cdma network, TD-SCDMA network, WiMAX network, TD-LTE network, FDD-LTE network.
Medical data corresponding for patient, by described communication network 3 and the communication connection of one or more client terminals 4 (illustrating for two in Fig. 1), is sent to client terminal corresponding to patient 4 by described Cloud Server 1.In other embodiments, described medical data can also be carried out screening and filtering and fall redundant data that is undesirable, incomplete and that repeat by described Cloud Server 1, and be analyzed processing and by communication network 3, the medical data (medical data after such as, associating with Weather information) after analyzing and processing being sent to corresponding client terminal 4 by the medical data after screening.
Described Cloud Server 1 is communicated to connect with Weather information platform 5 by described communication network 3, for obtaining Weather information from described Weather information platform 5.Specifically, described Weather information platform 5 is used for providing Weather information, described Weather information includes, but it is not limited to, place, temperature (highest temperature and the lowest temperature), wind direction are (such as, southerly, northerly etc.), the information such as weather condition (such as, become a fine day, the weather condition such as light rain, heavy rain, snow, heavy snow) and air quality (such as, PM2.5 value).
It should be noted that, described Cloud Server 1 is the station server in a kind of cloud platform or cloud platform, by the data transmission capabilities of Cloud Server 1 and data storage capacities, the medical data that can manage and/or assist hospital information system 2 and client terminal 4 better processes and transmission, is conducive to patient to understand the medical data of self.Described client terminal 4 may be, but not limited to, the portable electric appts of other any appropriate such as smart mobile phone, panel computer, personal digital assistant (PersonalDigitalAssistant, PDA), PC, electronic board.
With reference to shown in Fig. 2, Fig. 2 is the present invention module diagram based on the preferred embodiment of the disease warning system of the big data of medical treatment.In the present embodiment, the described disease warning system 10 based on the big data of medical treatment is applied to Cloud Server 1, and this Cloud Server 1 include but not limited to, based on the disease warning system 10 of the big data of medical treatment, memory element 11, processing unit 12 and communication unit 13.
Described memory element 11 can be a kind of read-only memory unit ROM, electrically-erasable memory element EEPROM, flash memory cell FLASH or solid hard disk etc..
Described processing unit 12 can be a kind of central processing unit (CentralProcessingUnit, CPU), microcontroller (MCU), data processing chip or the information process unit with data processing function.
Described communication unit 13 is a kind of wireless communication interface with long-distance radio communication function, for instance, support the communication interface of the mechanicss of communication such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE.
The described disease warning system 10 based on the big data of medical treatment includes, but are not limited to, data obtaining module 101, information association module 102, data analysis module 103, disease forecasting module 104 and Disease Warning Mechanism module 105.Module alleged by the present invention refers to a kind of series of computation machine programmed instruction section that can be performed and can complete fixing function by the processing unit 12 of described Cloud Server 1, and it is stored in the memory element 11 of described Cloud Server 1.
Described data obtaining module 101 is for obtaining medical information bag from described hospital information system 2, and described medical information bag is cut into many medical datas.Specifically, described hospital information system 2 provide data introducting interface (such as, application programming interfaces, ApplicationProgramInterface, API), the equipment or the system that access data introducting interface all can obtain medical data from described hospital information system 2.Described data obtaining module 101 calls the api interface of described hospital information system 2 offer to obtain information bag.It should be noted that, owing to described medical information belongs to privacy information, in order to ensure information security, when described medical data is sent to Cloud Server 1, can by enciphering and deciphering algorithm (such as, MD5 enciphering and deciphering algorithm, RSA enciphering and deciphering algorithm, DES enciphering and deciphering algorithm, DSA enciphering and deciphering algorithm, AES enciphering and deciphering algorithm etc.) first medical information bag is encrypted, being transferred to described Cloud Server 1 afterwards adopts the decipherment algorithm of symmetry to be decrypted again, finally medical information bag is cut into many medical datas.
Described data obtaining module 101 is additionally operable to that every medical data carries out screening and filtering and falls redundant data that is undesirable, imperfect and that repeat, and resolves the ill date in every medical data of screening.Specifically, described data obtaining module 101 parses the ill date of every medical data according to general date format from every medical data.Such as, the ill date in every medical data is parsed using " 2012-03-08 " or " 2012.03.08 " as date format.
Described information association module 102 is used for the weather history information corresponding to the ill date obtaining every medical data from described Weather information platform 5, and by every medical data and corresponding weather history information association.Specifically, described Weather information platform 5 provides api interface, and the equipment or the system that access this api interface can obtain weather history information from described Weather information platform 5.Described information association module 102 calls the api interface of described Weather information platform 5 offer to obtain weather history information.Described information association module 102 is called the api interface of described Weather information platform 5 offer and sends the described ill date to Weather information platform 5, Weather information platform 5, with the described ill date for keyword, retrieves weather history information corresponding to described ill date to return to described Cloud Server 1.
Described data analysis module 103 is for being analyzed the medical data associated by described weather history information obtaining the patient by inside even from weather.In the present embodiment, described medical data associated by Weather information is analyzed in the way of obtaining by the patient of inside even from weather as follows: the medical data associated by weather history information is classified and to be obtained the quantity of every kind of disease name corresponding to weather history information and every kind of disease name by (1) data analysis module 103.For example, under the weather condition of heavy snow, described medical data has four kinds of diseases, respectively flu, fever, asthma and fracture, wherein, flu has 58, fever has 20, asthma has 15 and fracture has 27；(2) data analysis module 103 calculates this disease weight by inside even from weather according to the quantity of every kind of disease name.For simplicity, the quantity of every kind of disease name it is equal in the weight calculated described in the present embodiment, say, that if the quantity of asthma 15, then asthma is 15 by the weight of inside even from weather；(3) when described weight exceedes preset value, data analysis module 103 determines that this disease is by inside even from weather.In the present embodiment, if described weight exceedes preset value (quantity of such as asthma is 15, and preset value is 10), data analysis module 103 then assert that asthma is by inside even from weather；(4) data analysis module 103 retrieves the patient by inside even from weather according to the disease name by inside even from weather in medical data, for instance, using " asthma " as keyword, medical data retrieves the patient suffering from asthma.
Described disease forecasting module 104 is for obtaining weather forecast information from described Weather information platform 5.Described weather forecast information includes the Weather information in following preset time period, for instance, the Weather information of following a week.Described disease forecasting module 104 is additionally operable to judge that the described patient by inside even from weather is subject to weather influence degree whether more than the sickness influence factor according to described weather forecast information.The described sickness influence factor refers to the order of severity that patient is affected by weather, it is possible to quantify by a digital threshold, for instance, it is assumed that what the sickness influence order of severity set ranges between 1 to 10, then can set the sickness influence factor as 6.When patient is subject to weather influence degree more than 5 (such as between 5 to 10), then patient is comparatively serious by the influence degree of inside even from weather；When patient is subject to weather influence degree less than 5 (such as between 1 to 6), then patient is comparatively slight by the influence degree of inside even from weather.
Described Disease Warning Mechanism module 105 for as described patient more than described sickness influence because of the period of the day from 11 p.m. to 1 a.m, generate early warning information and send (such as, being transmitted according to the contact method of patient in medical data) to by the client terminal 4 corresponding to the patient of inside even from weather.Described early warning information includes, but not limited to the disease suffered under patient's title, weather forecast information, identical weather condition, the points for attention etc. preventing the disease suffered from.Described early warning information can by word, voice and/or audio-visual in the way of be sent to client terminal 4.For example, described early warning information is that " distinguished XXX; future will appear from cold snap in several days; the lowest temperature is down to zero following; when the lowest temperature is down to zero in the past, you asthma occurred and respectively sought medical advice once in First People's Hospital and the second the People's Hospital, it is further noted that strengthen asthma prevention; be preventive measure below, refer to: (1) avoids crowd massing for following word；(2), when going out, N95 model mask please be carry；(3) noting warming, specifically ensuring that head, thoracic dorsal and foot are warming in order to avoid catching a cold；(4) note carrying the medicines such as bronchodilator, inhalant, propellant.Finally, wish that you are healthy！.”
With reference to shown in Fig. 3, it it is the present invention flow chart based on the preferred embodiment of the disease pre-warning method of the big data of medical treatment.In the present embodiment, the described disease pre-warning method based on the big data of medical treatment is applied to Cloud Server 1, and the method comprises the following steps:
Step S31, data obtaining module 101 obtains medical information bag from described hospital information system 2, and described medical information bag is cut into many medical datas.Specifically, described hospital information system 2 provide data introducting interface (such as, application programming interfaces, ApplicationProgramInterface, API), the equipment or the system that access this data introducting interface can obtain medical data from described hospital information system 2.Described data obtaining module 101 calls the api interface of described hospital information system 2 offer to obtain information bag, and medical information bag is cut into many medical datas.
Step S32, data obtaining module 101 resolves the ill date in every medical data.In the present embodiment, every medical data is first carried out screening and filtering and falls redundant data that is undesirable, imperfect and that repeat by data obtaining module 101, parses the ill date of every medical data from every medical data after screening further according to general date format.Such as, the ill date in every medical data is parsed using " 2012-03-08 " or " 2012.03.08 " as date format.
Step S33, information association module 102 is used for the weather history information corresponding to the ill date obtaining every medical data from described Weather information platform 5, and by every medical data and corresponding weather history information association.Specifically, described Weather information platform 5 provides api interface, and the equipment or the system that access this api interface can obtain weather history information from described Weather information platform 5.Described information association module 102 calls the api interface of described Weather information platform 5 offer to obtain weather history information.Described information association module 102 is called the api interface of described Weather information platform 5 offer and sends the described ill date to Weather information platform 5, Weather information platform 5, with the described ill date for keyword, retrieves weather history information corresponding to described ill date to return to described Cloud Server 1.
Step S34, the medical data associated by described weather history information is analyzed obtaining the patient by inside even from weather by data analysis module 103.In the present embodiment, the concrete refinement step of step S34 includes step S341 to S344.
Step S35, disease forecasting module 104 obtains weather forecast information from described Weather information platform 5.Described weather forecast information includes the Weather information in following preset time period, for instance, the Weather information of following a week.
Step S36, according to described weather forecast information, disease forecasting module 104 judges that the described patient by inside even from weather is subject to weather influence degree whether more than the sickness influence factor.The described sickness influence factor refers to the order of severity that patient is affected by weather, it is possible to quantify by a digital threshold, for instance, it is assumed that what the sickness influence order of severity set ranges between 1 to 10, then can set the sickness influence factor as 6.When patient is subject to weather influence degree more than 5 (such as between 5 to 10), then patient is comparatively serious by the influence degree of inside even from weather；When patient is subject to weather influence degree less than 5 (such as between 1 to 6), then patient is comparatively slight by the influence degree of inside even from weather.If described patient more than the sickness influence factor, is then performed step S37 by weather influence degree；If described patient is by weather influence degree less than or equal to the sickness influence factor, then flow process terminates.
Step S37, Disease Warning Mechanism module 105 generates early warning information and sends (such as, being transmitted according to the contact method of patient in medical data) to by the client terminal 4 corresponding to the patient of inside even from weather.Described early warning information includes, but not limited to the disease suffered under patient's title, weather forecast information, identical weather condition, the points for attention etc. preventing the disease suffered from.Described early warning information can by word, voice and/or audio-visual in the way of be sent to client terminal 4.For example, described early warning information is that " distinguished XXX; future will appear from cold snap in several days; the lowest temperature is down to zero following; when the lowest temperature is down to zero in the past, you asthma occurred and respectively sought medical advice once in First People's Hospital and the second the People's Hospital, it is further noted that strengthen asthma prevention; be preventive measure below, refer to: (1) avoids crowd massing for following word；(2), when going out, N95 model mask please be carry；(3) noting warming, specifically ensuring that head, thoracic dorsal and foot are warming in order to avoid catching a cold；(4) note carrying the medicines such as bronchodilator, inhalant, propellant.Finally, wish that you are healthy！.”
As shown in Figure 4, Fig. 4 is the refinement flow chart of step S34 in Fig. 3.In the present embodiment, the concrete refinement step of described step S34 comprises the steps:
Step S341, the medical data associated by weather history information is carried out classifying and obtains the quantity of every kind of disease name corresponding to weather history information and every kind of disease name by data analysis module 103.For example, under the weather condition of heavy snow, described medical data has four kinds of diseases, respectively flu, fever, asthma and fracture, wherein, flu has 58, fever has 20, asthma has 15 and fracture has 27.
Step S342, data analysis module 103 calculates this disease weight by inside even from weather according to the quantity of every kind of disease name.For simplicity, the quantity of every kind of disease name it is equal in weight described in the present embodiment, say, that if the quantity of asthma 15, then asthma is 15 by the weight of inside even from weather.
Step S343, when described weight exceedes preset value, data analysis module 103 determines that this disease is by inside even from weather.In the present embodiment, if described weight exceedes preset value (quantity of such as asthma is 15, and preset value is 10), data analysis module 103 then assert that asthma is by inside even from weather.
Step S344, data analysis module 103 retrieves the patient by inside even from weather according to the disease name by inside even from weather in medical data, for instance, using " asthma " as keyword, medical data retrieves the patient suffering from asthma.
These are only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every equivalent structure utilizing description of the present invention and accompanying drawing content to make or equivalence flow process conversion; or directly or indirectly it is used in other relevant technical fields, all in like manner include in the scope of patent protection of the present invention.
Claims (10)
1. the disease warning system based on the big data of medical treatment, run in Cloud Server, described Cloud Server is connected with hospital information system, client terminal and Weather information platform by communication network, it is characterised in that the described disease warning system based on the big data of medical treatment includes:
Data obtaining module, for obtaining medical information bag from described hospital information system, cuts into described medical information bag many medical datas, and resolves the ill date in every medical data；
Information association module, for obtaining the weather history information corresponding to the ill date every medical data, and by every medical data and corresponding weather history information association from described Weather information platform；
Data analysis module, for being analyzed the medical data associated by described weather history information obtaining the patient by inside even from weather；
According to described weather forecast information, disease forecasting module, for obtaining weather forecast information from described Weather information platform, judges that described patient is subject to weather influence degree whether more than the sickness influence factor；
Disease Warning Mechanism module, for as described patient more than described sickness influence because of the period of the day from 11 p.m. to 1 a.m, generate early warning information and be also sent to the client terminal corresponding to described patient.
2. the disease warning system based on the big data of medical treatment as claimed in claim 1, it is characterized in that, described medical data includes the contact method of patient's name, patient age, sick time, disease name, ill reason, nomenclature of drug, Quantity of drugs, physician names, medical section office, expense and patient.
3. the disease warning system based on the big data of medical treatment as claimed in claim 1, it is characterised in that described weather history information includes place, temperature, wind direction, weather condition and air quality.
4. the disease warning system based on the big data of medical treatment as claimed in claim 1, it is characterised in that the points for attention of the disease that described early warning information includes the disease suffered under patient's title, weather forecast information, identical weather condition and prevention is suffered from.
5. the disease warning system based on the big data of medical treatment as described in any one of Claims 1-4, it is characterised in that described data analysis module is additionally operable to:
Undertaken classifying by the medical data associated by weather history information and obtain the quantity of every kind of disease name corresponding to weather history information and every kind of disease name；
Quantity according to every kind of disease name calculates this disease weight by inside even from weather；
When described weight exceedes preset value, then assert that this disease is by inside even from weather；
In medical data, the patient by inside even from weather is retrieved according to the disease name by inside even from weather.
6. the disease pre-warning method based on the big data of medical treatment, it is applied in Cloud Server, described Cloud Server is connected with hospital information system, client terminal and Weather information platform by network, it is characterised in that the described disease pre-warning method based on the big data of medical treatment includes step:
Obtain medical information bag from described hospital information system, described medical information bag is cut into many medical datas；
Resolve the ill date in every medical data；
The weather history information corresponding to the ill date every medical data is obtained from described Weather information platform, and by every medical data and corresponding weather history information association；
It is analyzed the medical data associated by weather history information obtaining the patient by inside even from weather；
Weather forecast information is obtained from described Weather information platform；
Judge that described patient is subject to weather influence degree whether more than the sickness influence factor according to described weather forecast information；
As described patient more than described sickness influence because of the period of the day from 11 p.m. to 1 a.m, generate early warning information and be sent to the client terminal corresponding to described patient.
7. the disease pre-warning method based on the big data of medical treatment as claimed in claim 6, it is characterized in that, described medical data includes the contact method of patient's name, patient age, sick time, disease name, ill reason, nomenclature of drug, Quantity of drugs, physician names, medical section office, expense and patient.
8. the disease pre-warning method based on the big data of medical treatment as claimed in claim 6, it is characterised in that described weather history information includes place, temperature, wind direction, weather condition and air quality.
9. the disease pre-warning method based on the big data of medical treatment as claimed in claim 6, it is characterised in that the points for attention of the disease that described early warning information includes the disease suffered under patient's title, weather forecast information, identical weather condition and prevention is suffered from.
10. the disease pre-warning method based on the big data of medical treatment as described in any one of claim 6 to 9, it is characterised in that described medical data associated by weather history information is analyzed is comprised the steps: by the step of the patient of inside even from weather with acquisition
Undertaken classifying by the medical data associated by described weather history information and obtain the quantity of every kind of disease name corresponding to weather history information and every kind of disease name；
Quantity according to every kind of disease name calculates this disease weight by inside even from weather；
When described weight exceedes preset value, then assert that this disease is by inside even from weather；
In medical data, the patient by inside even from weather is retrieved according to the disease name by inside even from weather.
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| CN201610134909.5A CN105812463A (en) | 2016-03-10 | 2016-03-10 | Disease early warning system and method based on medical big data |
| PCT/CN2016/104129 WO2017152636A1 (en) | 2016-03-10 | 2016-10-31 | Disease warning system and method based on medical big data |
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| CN108231195A (en) * | 2016-12-19 | 2018-06-29 | 普天信息技术有限公司 | Health risk method for early warning, server, device and Urban Air Pollution Methods |
| CN108288502A (en) * | 2018-04-11 | 2018-07-17 | 平安科技（深圳）有限公司 | Disease forecasting method and device, computer installation and readable storage medium storing program for executing |
| CN108648829A (en) * | 2018-04-11 | 2018-10-12 | 平安科技（深圳）有限公司 | Disease forecasting method and device, computer installation and readable storage medium storing program for executing |
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| CN109659001B (en) * | 2018-12-18 | 2023-08-04 | 延安大学 | Cancer prevention supervision system and method |
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| CN102043893A (en) * | 2009-10-13 | 2011-05-04 | 北京大学 | Disease pre-warning method and system |
| US20120084092A1 (en) * | 2010-10-04 | 2012-04-05 | Kozuch Michael J | Method and apparatus for a comprehensive dynamic personal health record system |
| CN104008164A (en) * | 2014-05-29 | 2014-08-27 | 华东师范大学 | Generalized regression neural network based short-term diarrhea multi-step prediction method |
| CN204445848U (en) * | 2014-11-21 | 2015-07-08 | 深圳市易特科信息技术有限公司 | Children's health monitoring and system for prompting |
| CN104468743A (en) * | 2014-11-21 | 2015-03-25 | 深圳市前海安测信息技术有限公司 | Children health monitoring and reminding system based on health management and running method of children health monitoring and reminding system based on health management |
| CN105808942A (en) * | 2016-03-04 | 2016-07-27 | 深圳市前海安测信息技术有限公司 | Analysis and early warning system and method of medical big data |
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- 2016-03-10 CN CN201610134909.5A patent/CN105812463A/en not_active Withdrawn
- 2016-10-31 WO PCT/CN2016/104129 patent/WO2017152636A1/en active Application Filing
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108231195A (en) * | 2016-12-19 | 2018-06-29 | 普天信息技术有限公司 | Health risk method for early warning, server, device and Urban Air Pollution Methods |
| CN107330241A (en) * | 2017-09-08 | 2017-11-07 | 江苏八道信息科技有限公司 | A kind of angiocardiopathy early warning system |
| CN108288502A (en) * | 2018-04-11 | 2018-07-17 | 平安科技（深圳）有限公司 | Disease forecasting method and device, computer installation and readable storage medium storing program for executing |
| CN108648829A (en) * | 2018-04-11 | 2018-10-12 | 平安科技（深圳）有限公司 | Disease forecasting method and device, computer installation and readable storage medium storing program for executing |
| WO2019196286A1 (en) * | 2018-04-11 | 2019-10-17 | 平安科技（深圳）有限公司 | Illness prediction method and device, computer device, and readable storage medium |
| JP2020527788A (en) * | 2018-04-11 | 2020-09-10 | 平安科技（深▲せん▼）有限公司Ｐｉｎｇ Ａｎ Ｔｅｃｈｎｏｌｏｇｙ （Ｓｈｅｎｚｈｅｎ） Ｃｏ．，Ｌｔｄ． | Disease prediction methods and devices, computer devices and readable storage media |
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