CN105809552A - Insurance actuarial system and method based on search keywords - Google Patents
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- CN105809552A CN105809552A CN201610137544.1A CN201610137544A CN105809552A CN 105809552 A CN105809552 A CN 105809552A CN 201610137544 A CN201610137544 A CN 201610137544A CN 105809552 A CN105809552 A CN 105809552A
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Abstract
The invention provides an insurance actuarial system and a method based on search keywords, and the method comprises the steps: access data of a user using Internet service through a client is acquired from telecom operators; the access data is classified according to a preset age group division rule, and access data corresponding to each age group is extracted; keywords inputted by the user through a search engine is acquired from access data corresponding to each age group; the keywords are analyzed, so that disease keywords inputted by users in each age group through search engines are acquired; disease incidence corresponding to the disease keywords inputted by users in each age group through search engines are calculated; health insurance premium of user in each age group is calculated according to the disease incidence and a medical insurance actuarial algorithm. According to the invention, the risk of medical insurance can be reduced, and the profitability of an insurance company is improved.
Description
Technical field
The present invention relates to medical care insurance actuarial field, particularly relate to a kind of Insurance Actuarial Science system and method based on search key.
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.
Can accelerating actuarial risk profile by big data technique: by means of ever-increasing secret and public user information, big data technique helps people to extract value from the big scale of construction, high complicated medical data.
But, the Insurance Actuarial Science system of present stage, when being analyzed processing for medical data, does not consider the factor of user's every day use search engine, at the big data age of network, adds the risk of insurance company.
Summary of the invention
Present invention is primarily targeted at a kind of Insurance Actuarial Science system and method based on search key of offer, it is intended to solve that existing Insurance Actuarial Science system is not based on search engine key word and carry out actuarial technical problem.
For achieving the above object, the invention provides a kind of Insurance Actuarial Science system based on search key, run on data center, it is characterized in that, described data center is connected with Telecom operators by network, and described Telecom operators is connected with described client by described network, and this system includes:
Acquisition module, uses the access data of Internet service for obtaining user from telecom operators by described client；
Extraction module, for described access data being classified according to the age bracket division rule preset, and extracts the access data that each age bracket is corresponding, and the keyword that acquisition user uses search engine to input from accesss data corresponding to each age bracket；
Parsing module, for using the keyword that search engine inputs to resolve to obtain the disease keyword that in each age bracket, user uses search engine to input user in each age bracket；
Computing module, the disease incident corresponding for calculating disease keyword that in each age bracket, user uses search engine to input, and the health insurance premium of user in each age bracket is calculated according to described disease incident and medical care insurance actuarial algorithm.
Preferably, described access data include access time, access network address, the keyword using search engine to input, network traffics and use the user profile of Internet service, wherein, described user profile includes address name, age, height, occupation, educational background, home address, telephone number and mailbox.
Preferably, described default age bracket division rule refers to and for starting point, is divided into multiple age bracket the life-span of people with the default age.
Preferably, the computing formula of described disease incident is: P=M/N, and wherein, M is the quantity of the disease keyword that in each age bracket, user uses search engine to input, and N is the quantity of the keyword that user uses search engine to input in each age bracket.
Preferably, described medical care insurance actuarial algorithm adopts equation below: S=A+B+C+D, A=A1 × 1+k × P) × A2 × A3, A2=1+A21, wherein, to be reserve fund, A1 be medical fee base-line data that to be medical compensatory expense, B be prevention and health care expense that S is hospitalization premiums, A, C are administration fee (i.e. the administration fee of insurance company management health insurance), D, A2 be Insurance factor, A3 for compensate compare, P is disease incident and k is constant, parameter B in described formula, C, D, A1, A2 and A3 are fixed value, and A21 is the increment rate of Health service utilization.
On the other hand, the present invention also provides for a kind of Insurance Actuarial Science method based on search key, is applied to data center, and described data center is connected with Telecom operators by network, described Telecom operators is connected with described client by described network, and the method includes:
Obtain user from telecom operators and used the access data of Internet service by described client；
According to default age bracket division rule, described access data are classified, and extract the access data that each age bracket is corresponding；
The keyword that user uses search engine to input is obtained from the access data that each age bracket is corresponding；
The keyword that search engine inputs is used to resolve user in each age bracket, to obtain the disease keyword that in each age bracket, user uses search engine to input；
Calculate the disease incident that disease keyword that in each age bracket, user uses search engine to input is corresponding；And
The health insurance premium of user in each age bracket is calculated according to described disease incident and medical care insurance actuarial algorithm.
Preferably, described access data include access time, access network address, the keyword using search engine to input, network traffics and use the user profile of Internet service, wherein, described user profile includes address name, age, height, occupation, educational background, home address, telephone number and mailbox.
Preferably, described default age bracket division rule refers to and for starting point, is divided into multiple age bracket the life-span of people with the default age.
Preferably, the computing formula of described disease incident is: P=M/N, and wherein, M is the quantity of the disease keyword that in each age bracket, user uses search engine to input, and N is the quantity of the keyword that user uses search engine to input in each age bracket.
Preferably, described medical care insurance actuarial algorithm adopts equation below: S=A+B+C+D, A=A1 × (1+k × P) × A2 × A3, A2=1+A21, wherein, to be reserve fund, A1 be medical fee base-line data that to be medical compensatory expense, B be prevention and health care expense that S is hospitalization premiums, A, C are administration fee (i.e. the administration fee of insurance company management health insurance), D, A2 be Insurance factor, A3 for compensate compare, P is disease incident and k is constant, parameter B in described formula, C, D, A1, A2 and A3 are fixed value, and A21 is the increment rate of Health service utilization.
The present invention adopts technique scheme, the technique effect brought is: the Insurance Actuarial Science system and method based on search key of the present invention, the keyword that search engine inputs is used to understand disease risks rate in conjunction with user, and the premium of medical care insurance is adjusted accordingly according to disease risks rate, the risk of medical care insurance can be reduced, improve the profitability of insurance company.
Accompanying drawing explanation
Fig. 1 is the present invention Insurance Actuarial Science systematic difference environment schematic based on search key.
Fig. 2 is the present invention module diagram based on the preferred embodiment of the Insurance Actuarial Science system of search key.
Fig. 3 is the present invention flow chart based on the preferred embodiment of the Insurance Actuarial Science method of search key.
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 Insurance Actuarial Science systematic difference environment schematic based on search key.
The Insurance Actuarial Science system 20 based on search key in the present invention runs on data center 2.Described data center 2 is connected with described Telecom operators 5 by network 3.
Described Telecom operators 5 is also by network 3 and the communication connection of one or more clients 4 (illustrating for three in Fig. 1).
Described Telecom operators 5 is used for providing Internet service, and records access data when described client 4 uses Internet service.
Specifically, when described client 4 uses the Internet service that telecom operators 5 provide, described Telecom operators 5 can know access data when described client 4 uses Internet service, and described access data include the access time, access network address, the keyword that uses search engine to input, network traffics and use the data such as user profile of Internet service.Described user profile includes, but not limited to the information such as address name, age, height, occupation, educational background, home address, telephone number and mailbox.
Described Telecom operators 5 provides data introducting interface (such as, application programming interfaces, ApplicationProgramInterface, API), the equipment or the system that access this api interface can obtain client 4 from described Telecom operators 5 and use the access data of Internet service.Described data center 2 (namely authorizes and accesses the api interface that described Telecom operators 5 provides) on the basis that described Telecom operators 5 authorizes and obtains described access data, and resolves to obtain the keyword that user uses search engine to input to described access data.
Described network 3 can be wire communication network or wireless communication networks.Described network 3 is preferably wireless communication networks, 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.
Additionally, described data center 2 is connected with described client 4 by network 3.It should be noted that, described data center 2 is a certain station server in cloud platform or cloud platform, by the data transmission capabilities of data center 2 and data storage capacities, can manage and/or assist the client 4 being connected with this data center 2 better, be conducive to understanding user and used the access data of Internet service by described client 4.
Described client 4 may be, but not limited to, the portable electric appts with telephony feature of other any appropriate such as smart mobile phone, panel computer, personal digital assistant (PersonalDigitalAssistant, PDA), PC.It should be noted that, before the Internet service that user uses described Telecom operators 5 to provide by described client 4, described Telecom operators 5 can carry out user profile registration, telecom operators 5 open Internet service for user afterwards, when user uses Internet service by described client 4, telecom operators 5 can record user and use the access data of Internet service.
With reference to shown in Fig. 2, it it is the present invention module diagram based on the preferred embodiment of the Insurance Actuarial Science system of search key.In the present embodiment, the described Insurance Actuarial Science system 20 based on search key is applied to data center 2.This data center 2 include but not limited to, based on the Insurance Actuarial Science system 20 of search key, memory element 22, processing unit 24 and communication unit 26.
Described memory element 22 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 24 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 26 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 Insurance Actuarial Science system 20 based on search key includes, but it is not limited to, acquisition module 200, extraction module 210, parsing module 220 and computing module 230, 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 24 of described data center 2, and it is stored in the memory element 22 of described data center 2.
Described acquisition module 200 uses the access data of Internet service for obtaining user from telecom operators 5 by client 4.
Specifically, described telecom operators 5 provide api interface, and the equipment or the system that access this api interface can obtain described access data from described telecom operators 5.Described acquisition module 200 calls the api interface of described telecom operators 5 offer to obtain described access data.
It should be noted that, owing to described access data belong to privacy information, in order to ensure information security, when described access data are sent to data center 2, 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 access data are encrypted, it is transferred to described data center 2 afterwards.
Described extraction module 210 is for classifying to described access data according to the age bracket division rule preset, and extracts the access data that each age bracket is corresponding.Described default age bracket division rule refers to the life-span of people to be set with the default age for starting point (such as, 18 years old) and is divided into multiple age bracket.Such as, 18 years old with divide for starting point, wherein, 18-to 34-year-old for young, 35-45 year be the prime of life, 45-60 for middle age, more than 60 years old for old.Owing to described access data include user profile, therefore described extraction module 210 can extract the age in user profile, and according to default age bracket division rule, described access data is classified.
Described extraction module 210 is additionally operable to obtain from access data corresponding to each age bracket the keyword that user uses search engine to input.
Described parsing module 220 resolves to obtain the disease keyword that in each age bracket, user uses search engine to input for the keyword using search engine to input user in each age bracket.Specifically, the keyword that user in each age bracket is used search engine to input by described parsing module 220 is compared with the disease keyword preset, if the keyword inputted is identical with the disease keyword preset, then this keyword is disease keyword.
The disease incident that described computing module 230 is corresponding for calculating disease keyword that in each age bracket, user uses search engine to input.The computing formula of described disease incident is: P=M/N, and wherein, M is the quantity of the disease keyword that in each age bracket, user uses search engine to input, and N is the quantity of the keyword that user uses search engine to input in each age bracket.For example, young stage (18 years old to 34 years old), user uses the quantity of the keyword that search engine inputs to be 1,000,000 times, and the quantity that user uses disease keyword that search engine inputs is 10,000 times, then disease incident is 1%.
Described computing module 230 calculates the health insurance premium of user in each age bracket always according to described disease incident and medical care insurance actuarial algorithm.Described medical care insurance actuarial algorithm includes, but not limited to medical care insurance actuarial algorithm and adopts equation below: S=A+B+C+D, A=A1 × (1+k × P) × A2 × A3；Wherein, S to be hospitalization premiums, A be medical compensatory expense, B to be prevention and health care expense, C be administration fee (i.e. the administration fee of insurance company management health insurance), D are reserve fund, A1 to be medical fee base-line data, A2 be Insurance factor, A3 for compensate compare, P is disease incident and k is constant.Wherein, the parameter B in described formula, C, D, A1 and A3 is fixed value.Insurance factor is the insured people increase degree to Health service utilization, its computing formula is A2=1+A21, A21 is the increment rate (such as, the ratio between difference and the medical number of medical institutions' load of the continuous 2 years medical numbers of healthcare structure) of Health service utilization.
From above-mentioned formula it can be seen that specifically, disease incident is more high, it is meant that occurs the probability of insurance benefits to increase, also implies that the increase of insurance premium；Otherwise, disease incident is more low, it is meant that occurs the probability of insurance benefits to reduce, also implies that the decline of insurance premium.
With reference to shown in Fig. 3, it it is the present invention flow chart based on the preferred embodiment of the Insurance Actuarial Science method of search key.In the present embodiment, the described Insurance Actuarial Science method based on search key is applied to data center 2, and the method comprises the following steps:
Step S10: described acquisition module 200 is obtained user from telecom operators 5 and used the access data of Internet service by client 4.
Specifically, described telecom operators 5 provide api interface, and the equipment or the system that access this api interface can obtain described access data from described telecom operators 5.Described acquisition module 200 calls the api interface of described telecom operators 5 offer to obtain described access data.
It should be noted that, owing to described access data belong to privacy information, in order to ensure information security, when described access data are sent to data center 2, 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 access data are encrypted, it is transferred to described data center 2 afterwards.
Step S11: described access data are classified by described extraction module 210 according to default age bracket division rule, and extract the access data that each age bracket is corresponding.Described default age bracket division rule is set the life-span of people with the default age for starting point (such as, 18 years old) to be divided into multiple age bracket.Such as, 18 years old with divide for starting point, wherein, 18-to 34-year-old for young, 35-45 year be the prime of life, 45-60 for middle age, more than 60 years old for old.Owing to described access data include user profile, described extraction module 210 extracts the age in user profile, and according to default age bracket division rule, described access data is classified.
Step S12: described extraction module 210 obtains the keyword that user uses search engine to input from access data corresponding to each age bracket.
Step S13: the keyword that user in each age bracket is used search engine to input by described parsing module 220 resolves, to obtain the disease keyword that in each age bracket, user uses search engine to input.Specifically, the keyword that user in each age bracket is used search engine to input by described parsing module 220 is compared with the disease keyword preset, if the keyword inputted is identical with the disease keyword preset, then this keyword is disease keyword.
Step S14: described computing module 230 calculates the disease incident that disease keyword that in each age bracket, user uses search engine to input is corresponding.The computing formula of described disease incident is: P=M/N, and wherein, M is the quantity of the disease keyword that in each age bracket, user uses search engine to input, and N is the quantity of the keyword that user uses search engine to input in each age bracket.For example, young stage (18 years old to 34 years old), user uses the quantity of the keyword that search engine inputs to be 1,000,000 times, and the quantity that user uses disease keyword that search engine inputs is 10,000 times, then disease incident is 1%.
Step S15: described computing module 230 calculates the health insurance premium of user in each age bracket always according to described disease incident and medical care insurance actuarial algorithm.It is S=A+B+C+D, A=A1 ×× (1+k × P) × A2 × A3 that described medical care insurance actuarial algorithm includes, but not limited to medical care insurance actuarial algorithmic formula；Wherein, to be reserve fund, A1 be medical fee base-line data that to be medical compensatory expense, B be prevention and health care expense that S is hospitalization premiums, A, C are administration fee (i.e. the administration fee of insurance company management health insurance), D, A2 are that Insurance factor, A3 compare for compensating, P is disease incident, and k is constant.Wherein, the parameter B in described formula, C, D, A1 and A3 is fixed value.Insurance factor is the insured people increase degree to Health service utilization, its computing formula is A2=1+A21, A21 is the increment rate (such as, the ratio between difference and the medical number of medical institutions' load of the continuous 2 years medical numbers of healthcare structure) of Health service utilization.
From above-mentioned formula it can be seen that specifically, disease incident is more high, mean that the probability that insurance benefits occurs increases, also imply that the increase of insurance premium, otherwise, disease incident is more low, it is meant that occurs the probability of insurance benefits to reduce, also implies that the decline of insurance premium.
Additionally, above-mentioned medical care insurance actuarial algorithm is merely illustrative, the described medical care insurance actuarial algorithm in the present invention can also is that other existing Insurance Actuarial Science algorithm comprising disease incident.
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. based on an Insurance Actuarial Science system for search key, run on data center, it is characterised in that described data center is connected with Telecom operators by network, and described Telecom operators is connected with described client by described network, and this system includes:
Acquisition module, uses the access data of Internet service for obtaining user from telecom operators by described client；
Extraction module, for described access data being classified according to the age bracket division rule preset, and extracts the access data that each age bracket is corresponding, and the keyword that acquisition user uses search engine to input from accesss data corresponding to each age bracket；
Parsing module, for using the keyword that search engine inputs to resolve to obtain the disease keyword that in each age bracket, user uses search engine to input user in each age bracket；And
Computing module, the disease incident corresponding for calculating disease keyword that in each age bracket, user uses search engine to input, and the health insurance premium of user in each age bracket is calculated according to described disease incident and medical care insurance actuarial algorithm.
2. the Insurance Actuarial Science system based on search key as claimed in claim 1, it is characterized in that, described access data include access time, access network address, the keyword using search engine to input, network traffics and use the user profile of Internet service, wherein, described user profile includes address name, age, height, occupation, educational background, home address, telephone number and mailbox.
3. the Insurance Actuarial Science system based on search key as claimed in claim 1, it is characterised in that described default age bracket division rule refers to and for starting point, is divided into multiple age bracket the life-span of people with the default age.
4. the Insurance Actuarial Science system based on search key as claimed in claim 1, it is characterized in that, the computing formula of described disease incident is: P=M/N, wherein, M is the quantity of the disease keyword that in each age bracket, user uses search engine to input, and N is the quantity of the keyword that user uses search engine to input in each age bracket.
5. the Insurance Actuarial Science system based on search key as claimed in claim 1, it is characterized in that, described medical care insurance actuarial algorithm adopts equation below: S=A+B+C+D, A=A1 × (1+k × P) × A2 × A3, A2=1+A21, wherein, S is hospitalization premiums, A is medical compensatory expense, B is prevention and health care expense, C is administration fee (i.e. the administration fee of insurance company management health insurance), D is reserve fund, A1 is medical fee base-line data, A2 is Insurance factor, A3 is for compensating ratio, P is disease incident and k is constant, parameter B in described formula, C, D, A1, A2 and A3 is fixed value, A21 is the increment rate of Health service utilization.
6. based on an Insurance Actuarial Science method for search key, it is applied to data center, it is characterised in that described data center is connected with Telecom operators by network, and described Telecom operators is connected with described client by described network, and the method includes:
Obtain user from telecom operators and used the access data of Internet service by described client；
According to default age bracket division rule, described access data are classified, and extract the access data that each age bracket is corresponding；
The keyword that user uses search engine to input is obtained from the access data that each age bracket is corresponding；
The keyword that search engine inputs is used to resolve user in each age bracket, to obtain the disease keyword that in each age bracket, user uses search engine to input；
Calculate the disease incident that disease keyword that in each age bracket, user uses search engine to input is corresponding；And
The health insurance premium of user in each age bracket is calculated according to described disease incident and medical care insurance actuarial algorithm.
7. the Insurance Actuarial Science method based on search key as claimed in claim 6, it is characterized in that, described access data include access time, access network address, the keyword using search engine to input, network traffics and use the user profile of Internet service, wherein, described user profile includes address name, age, height, occupation, educational background, home address, telephone number and mailbox.
8. the Insurance Actuarial Science method based on search key as claimed in claim 6, it is characterised in that described default age bracket division rule refers to and for starting point, is divided into multiple age bracket the life-span of people with the default age.
9. the Insurance Actuarial Science method based on search key as claimed in claim 6, it is characterized in that, the computing formula of described disease incident is: P=M/N, wherein, M is the quantity of the disease keyword that in each age bracket, user uses search engine to input, and N is the quantity of the keyword that user uses search engine to input in each age bracket.
10. the Insurance Actuarial Science method based on search key as claimed in claim 6, it is characterized in that, described medical care insurance actuarial algorithm adopts equation below: S=A+B+C+D, A=A1 × (1+k × P) × A2 × A3, A2=1+A21, wherein, S is hospitalization premiums, A is medical compensatory expense, B is prevention and health care expense, C is administration fee (i.e. the administration fee of insurance company management health insurance), D is reserve fund, A1 is medical fee base-line data, A2 is Insurance factor, A3 is for compensating ratio, P is disease incident and k is constant, parameter B in described formula, C, D, A1, A2 and A3 is fixed value, A21 is the increment rate of Health service utilization.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610137544.1A CN105809552A (en) | 2016-03-10 | 2016-03-10 | Insurance actuarial system and method based on search keywords |
| PCT/CN2016/104133 WO2017152640A1 (en) | 2016-03-10 | 2016-10-31 | Insurance actuarial system and method based on keyword search |
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| CN201610137544.1A CN105809552A (en) | 2016-03-10 | 2016-03-10 | Insurance actuarial system and method based on search keywords |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2017152640A1 (en) * | 2016-03-10 | 2017-09-14 | 深圳市前海安测信息技术有限公司 | Insurance actuarial system and method based on keyword search |
| WO2018176715A1 (en) * | 2017-03-25 | 2018-10-04 | 深圳市前海安测信息技术有限公司 | Breast cancer cloud platform prediction system and method |
| CN109035034A (en) * | 2018-06-12 | 2018-12-18 | 昆明理工大学 | A kind of health insurance actuarial System and method for based on payment data |
| CN109615541A (en) * | 2018-12-13 | 2019-04-12 | 平安医疗健康管理股份有限公司 | Drug premium calculation method, device, equipment and storage medium |
| CN113011988A (en) * | 2021-02-20 | 2021-06-22 | 北京爱选信息科技有限公司 | Insurance actuarial system based on big data |
| CN113011987A (en) * | 2021-02-20 | 2021-06-22 | 北京爱选信息科技有限公司 | Insurance actuarial method based on big data |
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| US20140278573A1 (en) * | 2013-03-15 | 2014-09-18 | State Farm Mutual Automobile Insurance Company | Systems and methods for initiating insurance processing using ingested data |
| US20160225094A1 (en) * | 2013-08-23 | 2016-08-04 | eBao Tech Corporation | Systems and Methods for Insurance Design Using Standard Insurance Contexts and Factors |
| CN104834755A (en) * | 2015-06-01 | 2015-08-12 | 山大地纬软件股份有限公司 | Predicated data monitoring system for medical benefits fund and method of predicated data monitoring system |
| CN105260915A (en) * | 2015-10-21 | 2016-01-20 | 中国太平洋保险（集团）股份有限公司 | User behavior modeling control method and device based on big data |
| CN105809552A (en) * | 2016-03-10 | 2016-07-27 | 深圳市前海安测信息技术有限公司 | Insurance actuarial system and method based on search keywords |
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2016
- 2016-03-10 CN CN201610137544.1A patent/CN105809552A/en not_active Withdrawn
- 2016-10-31 WO PCT/CN2016/104133 patent/WO2017152640A1/en active Application Filing
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017152640A1 (en) * | 2016-03-10 | 2017-09-14 | 深圳市前海安测信息技术有限公司 | Insurance actuarial system and method based on keyword search |
| WO2018176715A1 (en) * | 2017-03-25 | 2018-10-04 | 深圳市前海安测信息技术有限公司 | Breast cancer cloud platform prediction system and method |
| CN109035034A (en) * | 2018-06-12 | 2018-12-18 | 昆明理工大学 | A kind of health insurance actuarial System and method for based on payment data |
| CN109615541A (en) * | 2018-12-13 | 2019-04-12 | 平安医疗健康管理股份有限公司 | Drug premium calculation method, device, equipment and storage medium |
| CN113011988A (en) * | 2021-02-20 | 2021-06-22 | 北京爱选信息科技有限公司 | Insurance actuarial system based on big data |
| CN113011987A (en) * | 2021-02-20 | 2021-06-22 | 北京爱选信息科技有限公司 | Insurance actuarial method based on big data |
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| Publication number | Publication date |
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| WO2017152640A1 (en) | 2017-09-14 |
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