CN107092777A - breast cancer cloud platform forecasting system and method - Google Patents
breast cancer cloud platform forecasting system and method Download PDFInfo
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- CN107092777A CN107092777A CN201710185229.0A CN201710185229A CN107092777A CN 107092777 A CN107092777 A CN 107092777A CN 201710185229 A CN201710185229 A CN 201710185229A CN 107092777 A CN107092777 A CN 107092777A
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- 206010006187 Breast cancer Diseases 0.000 title claims abstract description 78
- 208000026310 Breast neoplasm Diseases 0.000 title claims abstract description 78
- 238000000034 method Methods 0.000 title claims abstract description 20
- 239000000284 extract Substances 0.000 claims abstract description 6
- 238000000605 extraction Methods 0.000 claims description 9
- 206010028980 Neoplasm Diseases 0.000 claims description 3
- 210000000481 breast Anatomy 0.000 claims description 3
- 201000011510 cancer Diseases 0.000 claims description 3
- 210000004907 gland Anatomy 0.000 claims description 3
- 238000004891 communication Methods 0.000 description 10
- 238000005516 engineering process Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 208000005623 Carcinogenesis Diseases 0.000 description 2
- 230000036952 cancer formation Effects 0.000 description 2
- 231100000504 carcinogenesis Toxicity 0.000 description 2
- 210000005075 mammary gland Anatomy 0.000 description 2
- 241001282153 Scopelogadus mizolepis Species 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 201000008275 breast carcinoma Diseases 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000008506 pathogenesis Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Classifications
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- 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
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- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Biomedical Technology (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The present invention provides a kind of breast cancer cloud platform forecasting system and method, and this method includes：The access data that user uses Internet service by the client are obtained from telecom operators；The access data are classified according to default age bracket division rule, and extract the corresponding access data of each age bracket；The keyword that user is inputted using search engine is obtained from the corresponding access data of each age bracket；The keyword that user in each age bracket is inputted using search engine is parsed, to obtain the breast cancer keyword that user is inputted using search engine in each age bracket；Calculate the corresponding incidence of breast cancer of breast cancer keyword that user is inputted using search engine in each age bracket.Implement the present invention and combine the keyword understanding mammary cancer risk rate that user is inputted using search engine, improve the precision of prediction of breast cancer incidence.
Description
Technical field
The present invention relates to medical information field, more particularly to a kind of breast cancer cloud platform forecasting system and method.
Background technology
Recently as the fast development of internet, cloud computing, mobile communication and Internet of Things etc., immanent movement is set
Standby, RFID, every point of wireless senser are per second all to produce data, and the Internet service of hundreds of millions of users is at every moment being produced
The interaction of flood tide, data volume to be processed is huge, and data all increase with annual 50% speed always, and business demand and competing
Strive pressure and requirements at the higher level are had also been proposed to real-time, the validity of data processing, traditional conventional technical means can not be answered at all
Pay, therefore, big data technology (Big Data) turns into a recent hot technology, causes extensive attention.
The risk profile of breast cancer can be accelerated by big data technology：By means of ever-increasing secret and open user
Information, big data technology helps people to extract value from the big scale of construction, high complicated medical data.
However, breast cancer incidence forecasting system at this stage for medical data when being analyzed and processed, not
Consider that user usually uses the factor of search engine, in the network big data epoch, reduce the precision of prediction of breast cancer incidence.
The content of the invention
It is a primary object of the present invention to provide a kind of breast cancer cloud platform forecasting system and method, it is intended to solve existing breast
The technical problem that search engine key word carries out incidence of breast cancer prediction is not based in gland cancer incidence forecasting system.
To achieve the above object, the invention provides a kind of breast cancer cloud platform forecasting system, data center is run on, institute
State data center to be connected with Telecom operators by network, the Telecom operators are connected by the network and the client
Connect, the system includes：
Acquisition module, for obtaining the access number that user uses Internet service by the client from telecom operators
According to；
Extraction module, for classifying according to default age bracket division rule to the access data, and extracts every
The corresponding access data of individual age bracket, and from each age bracket is corresponding access data in obtain user and use search engine institute
The keyword of input；
Parsing module, for being parsed the keyword that user in each age bracket is inputted using search engine to obtain
Take the breast cancer keyword that user is inputted using search engine in each age bracket；And
Computing module, for calculating the breast cancer keyword correspondence that user is inputted using search engine in each age bracket
Incidence of breast cancer.
It is preferred that, it is described access data include access time, access network address, inputted using search engine keyword,
Network traffics and the user profile using Internet service, wherein, the user profile includes address name, age, height, duty
Industry, educational background, home address, telephone number and mailbox.
It is preferred that, the default age bracket division rule refers to be divided into the life-span of people as starting point using the default age many
Individual age bracket.
It is preferred that, the calculation formula of the incidence of breast cancer is：P=M/N, wherein, M makes for user in each age bracket
User is inputted using search engine in the quantity of the breast cancer keyword inputted with search engine, each age brackets of N
The quantity of keyword.
On the other hand, the present invention also provides a kind of breast cancer cloud platform Forecasting Methodology, applied to data center, the data
It is connected centrally through network with Telecom operators, the Telecom operators are connected by the network with the client, the party
Method includes：
The access data that user uses Internet service by the client are obtained from telecom operators；
The access data are classified according to default age bracket division rule, and it is corresponding to extract each age bracket
Access data；
The keyword that user is inputted using search engine is obtained from the corresponding access data of each age bracket；
The keyword that user in each age bracket is inputted using search engine is parsed, to obtain each age bracket
The breast cancer keyword that middle user is inputted using search engine；And
Calculate the corresponding mammary gland carcinogenesis of breast cancer keyword that user is inputted using search engine in each age bracket
Rate.
It is preferred that, it is described access data include access time, access network address, inputted using search engine keyword,
Network traffics and the user profile using Internet service, wherein, the user profile includes address name, age, height, duty
Industry, educational background, home address, telephone number and mailbox.
It is preferred that, the default age bracket division rule refers to be divided into the life-span of people as starting point using the default age many
Individual age bracket.
It is preferred that, the calculation formula of the incidence of breast cancer is：P=M/N, wherein, M makes for user in each age bracket
User is inputted using search engine in the quantity of the breast cancer keyword inputted with search engine, each age brackets of N
The quantity of keyword.
The present invention uses above-mentioned technical proposal, and the technique effect brought is：Breast cancer cloud platform prediction system of the present invention
System and method, understand mammary cancer risk rate with reference to the keyword that user is inputted using search engine, improve pathogenesis of breast carcinoma
The precision of prediction of rate.
Brief description of the drawings
Fig. 1 is the application environment schematic diagram of breast cancer cloud platform forecasting system of the present invention.
Fig. 2 is the module diagram of the preferred embodiment of breast cancer cloud platform forecasting system of the present invention.
Fig. 3 is the flow chart of the preferred embodiment of breast cancer cloud platform Forecasting Methodology of the present invention.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
Further to illustrate the present invention to reach the technological means and effect that predetermined goal of the invention is taken, below in conjunction with
Accompanying drawing and preferred embodiment, to embodiment, structure, feature and its effect of the present invention, are described in detail as follows.It should manage
Solution, the specific embodiments described herein are merely illustrative of the present invention, is not intended to limit the present invention.
Shown in reference picture 1, Fig. 1 is the application environment schematic diagram of breast cancer cloud platform forecasting system of the present invention.
Breast cancer cloud platform forecasting system 20 in the present invention runs on data center 2.The data center 2 passes through network
3 are connected with the Telecom operators 5.
The Telecom operators 5 also (are said with one or more clients 4 by network 3 in Fig. 1 exemplified by three
It is bright) communication connection.
The Telecom operators 5 are used to provide Internet service, and record the client 4 using during Internet service
Access data.
Specifically, during the Internet service that the client 4 is provided using telecom operators 5, the Telecom operators 5
The client 4 can be known using access data during Internet service, the access data include access time, access net
The data such as location, the keyword inputted using search engine, network traffics and the user profile using Internet service.It is described to use
Family information includes, but not limited to, the letter such as address name, age, height, occupation, educational background, home address, telephone number and mailbox
Breath.
The Telecom operators 5 provide data introducting interface (for example, application programming interfaces, Application Program
Interface, API), client 4 can be obtained from the Telecom operators 5 by accessing the equipment or system of the api interface
Use the access data of Internet service.The data center 2 (authorizes and connect on the basis of the Telecom operators 5 mandate
Enter the api interface that the Telecom operators 5 are provided) the access data are obtained, and the access data are parsed to obtain
The keyword inputted to user using search engine.
The network 3 can be wire communication network or wireless communication networks.The network 3 is preferably radio communication network
Network, include but is not limited to, GSM network, GPRS network, cdma network, TD-SCDMA network, WiMAX network, TD-LTE networks,
The wireless-transmission networks such as FDD-LTE networks.
In addition, the data center 2 is connected by network 3 with the client 4.It should be noted that in the data
The heart 2 is a certain server in cloud platform or cloud platform, passes through the data transmission capabilities and data storage energy of data center 2
Power, preferably can manage and/or assist the client 4 being connected with the data center 2, be conducive to understanding user to pass through the visitor
Family end 4 uses the access data of Internet service.
The client 4 may be, but not limited to, smart mobile phone, tablet personal computer, personal digital assistant (Personal
Digital Assistant, PDA), other any appropriate portable electric appts with telephony feature such as PC.
It should be noted that before the Internet service that user is provided using the Telecom operators 5 by the client 4, institute
User profile registration can be carried out by stating Telecom operators 5, and telecom operators 5 are that user opens Internet service afterwards, and user passes through
When the client 4 is using Internet service, telecom operators 5 can record the access data that user uses Internet service.
It is the module diagram of the preferred embodiment of breast cancer cloud platform forecasting system of the present invention shown in reference picture 2.At this
In embodiment, the breast cancer cloud platform forecasting system 20 is applied to data center 2.The data center 2 includes, but not only limits
In breast cancer cloud platform forecasting system 20, memory cell 22, processing unit 24 and communication unit 26.
Described memory cell 22 can be a kind of read-only memory unit ROM, electrically-erasable memory cell EEPROM, quick flashing
Memory cell FLASH or solid hard disk etc..
Described processing unit 24 can be a kind of central processing unit (Central Processing Unit, CPU), micro-
Controller (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 example, supporting
The communication interface of the mechanicss of communication such as GSM, GPRS, WCDMA, CDMA, TD-SCDMA, WiMAX, TD-LTE, FDD-LTE.
The breast cancer cloud platform forecasting system 20 includes, but are not limited to, acquisition module 200, extraction module 210, solution
Analyse module 220 and computing module 230, the module alleged by the present invention refer to it is a kind of can be by the processing unit of the data center 2
24 perform and can complete the series of computation machine programmed instruction section of fixing function, and it is stored in depositing for the data center 2
In storage unit 22.
The acquisition module 200 is used to pass through visit of the client 4 using Internet service from the acquisition user of telecom operators 5
Ask data.
Specifically, the telecom operators 5 provide api interface, and the equipment or system for accessing the api interface can be from
The access data are obtained in the telecom operators 5.The acquisition module 200 calls the API that the telecom operators 5 provide
Interface is to obtain the access data.
It should be noted that because the access data belong to privacy information, in order to ensure information security, the access number
, can be by enciphering and deciphering algorithm (for example, MD5 enciphering and deciphering algorithms, RSA enciphering and deciphering algorithms, DES add solution during according to being sent to data center 2
Close algorithm, DSA enciphering and deciphering algorithms, AES enciphering and deciphering algorithms etc.) first it is encrypted to accessing data, it is transferred to afterwards described
Data center 2.
The extraction module 210 is used to classify to the access data according to default age bracket division rule, and
Extract the corresponding access data of each age bracket.The default age bracket division rule refers to using the default age as starting point (example
Such as, 18 years old) life-span of people is set it is divided into multiple age brackets.For example, at 18 years old with being divided for starting point, wherein, 18- to 34-year-old
For it is young, 35-45 Sui be that the prime of life, 45-60 are the middle age, are within more than 60 years old old age.Because the access data include user's letter
Cease, therefore the extraction module 210 can be extracted the age in user profile, and according to default age bracket division rule to institute
Access data are stated to be classified.
The extraction module 210 is additionally operable to the acquisition user from each age bracket corresponding access data and uses search engine
The keyword inputted.
The parsing module 220 is used to solve the keyword that user in each age bracket is inputted using search engine
Analyse to obtain the breast cancer keyword that user is inputted using search engine in each age bracket.Specifically, the parsing mould
The keyword that user is inputted using search engine in each age bracket of 220 pairs of block compares with default breast cancer keyword
Right, if the keyword inputted is identical with default breast cancer keyword, the keyword is breast cancer keyword.
It is crucial that the computing module 230 is used to calculate the breast cancer that user is inputted using search engine in each age bracket
The corresponding incidence of breast cancer of word.The calculation formula of the incidence of breast cancer is：P=M/N, wherein, M is in each age bracket
The quantity for the breast cancer keyword that user is inputted using search engine, N uses search engine institute for user in each age bracket
The quantity of the keyword of input.For example, in young stage (18 years old to 34 years old), user uses the key that search engine is inputted
The quantity of word is 1,000,000 times, and the quantity for the breast cancer keyword that user is inputted using search engine is 10,000 times, then mammary gland
Carcinogenesis rate is 1%.
It is the flow chart of the preferred embodiment of breast cancer cloud platform Forecasting Methodology of the present invention shown in reference picture 3.In this implementation
In example, described breast cancer cloud platform Forecasting Methodology is applied to data center 2, and this method comprises the following steps：
Step S10：The acquisition module 200 obtains user from telecom operators 5 and uses Internet service by client 4
Access data.
Specifically, the telecom operators 5 provide api interface, and the equipment or system for accessing the api interface can be from
The access data are obtained in the telecom operators 5.The acquisition module 200 calls the API that the telecom operators 5 provide
Interface is to obtain the access data.
It should be noted that because the access data belong to privacy information, in order to ensure information security, the access number
, can be by enciphering and deciphering algorithm (for example, MD5 enciphering and deciphering algorithms, RSA enciphering and deciphering algorithms, DES add solution during according to being sent to data center 2
Close algorithm, DSA enciphering and deciphering algorithms, AES enciphering and deciphering algorithms etc.) first it is encrypted to accessing data, it is transferred to afterwards described
Data center 2.
Step S11：The extraction module 210 is divided the access data according to default age bracket division rule
Class, and extract the corresponding access data of each age bracket.The default age bracket division rule is using the default age as starting point
The life-span of people is set and is divided into multiple age brackets by (for example, 18 years old).For example, at 18 years old with being divided for starting point, wherein, 18-
Be within 34 years old it is young, 35-45 Sui be that the prime of life, 45-60 are the middle age, are within more than 60 years old old age.Because the access data include using
Family information, the extraction module 210 is extracted the age in user profile, and is visited according to default age bracket division rule described
Ask that data are classified.
Step S12：The extraction module 210 is obtained user from the corresponding access data of each age bracket and drawn using search
Hold up inputted keyword.
Step S13：The keyword that user is inputted using search engine in each age bracket of 220 pairs of parsing module enters
Row parsing, to obtain the breast cancer keyword that user is inputted using search engine in each age bracket.Specifically, the solution
The keyword that user is inputted using search engine in the analysis each age bracket of 220 pairs of module is carried out with default breast cancer keyword
Compare, if the keyword inputted is identical with default breast cancer keyword, the keyword is breast cancer keyword.
Step S14：The computing module 230 calculates the breast cancer that user is inputted using search engine in each age bracket
The corresponding incidence of breast cancer of keyword.The calculation formula of the incidence of breast cancer is：P=M/N, wherein, M is each age
The quantity for the breast cancer keyword that user is inputted using search engine in section, N is drawn for user in each age bracket using search
Hold up the quantity of inputted keyword.For example, in young stage (18 years old to 34 years old), user is inputted using search engine
The quantity of keyword is 1,000,000 times, and the quantity for the breast cancer keyword that user is inputted using search engine is 10,000 times, then
Incidence of breast cancer is 1%.
In addition, above-mentioned medical incidence of breast cancer prediction algorithm is merely illustrative, the medical treatment breast in the present invention
Gland cancer incidence prediction algorithm can also be other existing incidence of breast cancer prediction algorithms comprising incidence of breast cancer.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair
Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (8)
1. a kind of breast cancer cloud platform forecasting system, runs on data center, it is characterised in that the data center passes through network
It is connected with Telecom operators, the Telecom operators are connected by the network with the client, the system includes：
Acquisition module, for obtaining the access data that user uses Internet service by the client from telecom operators；
Extraction module, for classifying according to default age bracket division rule to the access data, and extracts each year
The corresponding access data of age section, and acquisition user is inputted using search engine from each age bracket corresponding access data
Keyword；
Parsing module, it is every to obtain for being parsed to the keyword that user in each age bracket is inputted using search engine
The breast cancer keyword that user is inputted using search engine in individual age bracket；And
Computing module, for calculating the corresponding breast of breast cancer keyword that user is inputted using search engine in each age bracket
Gland cancer incidence.
2. breast cancer cloud platform forecasting system as claimed in claim 1, it is characterised in that when the access data include accessing
Between, access network address, the keyword inputted using search engine, network traffics and using Internet service user profile, its
In, the user profile includes address name, age, height, occupation, educational background, home address, telephone number and mailbox.
3. breast cancer cloud platform forecasting system as claimed in claim 1, it is characterised in that the default age bracket divides rule
Then refer to using the default age as starting point are divided into multiple age brackets the life-span of people.
4. breast cancer cloud platform forecasting system as claimed in claim 1, it is characterised in that the calculating of the incidence of breast cancer
Formula is：P=M/N, wherein, the quantity for the breast cancer keyword that M is inputted by user in each age bracket using search engine,
The quantity for the keyword that N is inputted by user in each age bracket using search engine.
5. a kind of breast cancer cloud platform Forecasting Methodology, applied to data center, it is characterised in that the data center passes through network
It is connected with Telecom operators, the Telecom operators are connected by the network with the client, and this method includes：
The access data that user uses Internet service by the client are obtained from telecom operators；
The access data are classified according to default age bracket division rule, and extract the corresponding access of each age bracket
Data；
The keyword that user is inputted using search engine is obtained from the corresponding access data of each age bracket；
The keyword that user in each age bracket is inputted using search engine is parsed, used with obtaining in each age bracket
The breast cancer keyword that family is inputted using search engine；And
Calculate the corresponding incidence of breast cancer of breast cancer keyword that user is inputted using search engine in each age bracket.
6. breast cancer cloud platform Forecasting Methodology as claimed in claim 5, it is characterised in that when the access data include accessing
Between, access network address, the keyword inputted using search engine, network traffics and using Internet service user profile, its
In, the user profile includes address name, age, height, occupation, educational background, home address, telephone number and mailbox.
7. breast cancer cloud platform Forecasting Methodology as claimed in claim 5, it is characterised in that the default age bracket divides rule
Then refer to using the default age as starting point are divided into multiple age brackets the life-span of people.
8. breast cancer cloud platform Forecasting Methodology as claimed in claim 5, it is characterised in that the calculating of the incidence of breast cancer
Formula is：P=M/N, wherein, the quantity for the breast cancer keyword that M is inputted by user in each age bracket using search engine,
The quantity for the keyword that N is inputted by user in each age bracket using search engine.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710185229.0A CN107092777A (en) | 2017-03-25 | 2017-03-25 | breast cancer cloud platform forecasting system and method |
| PCT/CN2017/096129 WO2018176715A1 (en) | 2017-03-25 | 2017-08-05 | Breast cancer cloud platform prediction system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710185229.0A CN107092777A (en) | 2017-03-25 | 2017-03-25 | breast cancer cloud platform forecasting system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107092777A true CN107092777A (en) | 2017-08-25 |
Family
ID=59649044
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710185229.0A Pending CN107092777A (en) | 2017-03-25 | 2017-03-25 | breast cancer cloud platform forecasting system and method |
Country Status (2)
| Country | Link |
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| CN (1) | CN107092777A (en) |
| WO (1) | WO2018176715A1 (en) |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7752060B2 (en) * | 2006-02-08 | 2010-07-06 | Health Grades, Inc. | Internet system for connecting healthcare providers and patients |
| CN103309990A (en) * | 2013-06-18 | 2013-09-18 | 上海晶樵网络信息技术有限公司 | User multidimensional analysis and monitoring method based on public information of Internet user |
| 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 |
-
2017
- 2017-03-25 CN CN201710185229.0A patent/CN107092777A/en active Pending
- 2017-08-05 WO PCT/CN2017/096129 patent/WO2018176715A1/en active Application Filing
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| WO2018176715A1 (en) | 2018-10-04 |
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