CN110767317A - Cloud computing platform and method based on data mining and big data analysis - Google Patents
Cloud computing platform and method based on data mining and big data analysis Download PDFInfo
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- CN110767317A CN110767317A CN201910811176.8A CN201910811176A CN110767317A CN 110767317 A CN110767317 A CN 110767317A CN 201910811176 A CN201910811176 A CN 201910811176A CN 110767317 A CN110767317 A CN 110767317A
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- 238000007418 data mining Methods 0.000 title claims abstract description 47
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Abstract
The invention relates to a cloud computing platform and a method based on data mining and big data analysis, wherein the platform comprises a data acquisition module, a data analysis module and a data analysis module, wherein the data acquisition module is used for acquiring basic indexes, historical diseased data, existing diseased data and family genetic disease data of a user; a data mining module for mining associated disease data of the user for future associated diseases based on the base indicator, the historical diseased data, the existing diseased data, and the family genetic disease data; and the data analysis module is used for comprehensively analyzing the basic indexes, the historical disease data, the existing disease data, the family genetic disease data and the associated disease data to obtain a treatment or/and health maintenance scheme. The invention effectively applies data mining and big data analysis to the field of health care, and effectively improves the medical level.
Description
Technical Field
The invention relates to the field of big data, in particular to a cloud computing platform and a cloud computing method based on data mining and big data analysis.
Background
With the advent of the big data era, data mining and big data analysis are increasingly applied to various industries, such as the industries of network, medical treatment and the like. In the medical industry, the health medical data are deeply mined and analyzed, the actual condition of the patient can be known in detail, a targeted scheme is proposed for treatment, and the health care system is greatly helpful for improving the condition of the patient and promoting the recovery of the patient. Therefore, how to effectively apply data mining and big data analysis to the field of health care is a problem to be solved urgently.
Disclosure of Invention
The invention aims to provide a cloud computing platform and a cloud computing method based on data mining and big data analysis, which can effectively apply the data mining and the big data analysis to the field of health and medical treatment and improve the medical level.
The technical scheme for solving the technical problems is as follows: a cloud computing platform based on data mining and big data analysis comprises the following modules,
the data acquisition module is used for acquiring basic indexes, historical sick data, existing sick data and family genetic disease data of a user;
a data mining module for mining associated disease data of the user for future associated diseases based on the base indicator, the historical diseased data, the existing diseased data, and the family genetic disease data;
and the data analysis module is used for comprehensively analyzing the basic indexes, the historical disease data, the existing disease data, the family genetic disease data and the associated disease data to obtain a treatment or/and health maintenance scheme.
The invention has the beneficial effects that: the method comprises the steps of carrying out data mining on basic indexes, historical disease data, existing disease data and family genetic disease data of a user to obtain associated disease data, and carrying out big data analysis based on the associated disease data to obtain a treatment or/and health maintenance scheme; the method effectively applies data mining and big data analysis to the field of health care, and effectively improves the medical level.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the basic indexes at least comprise sex, age, height, weight, living environment and a trend curve of the height and the weight changing along with the age.
Further, the data mining module is specifically configured to train the basic index, the historical diseased data, the existing diseased data, and the family genetic disease data by using a pre-constructed random forest prediction model, and mine associated disease data of the user who suffers from the associated disease in the future;
wherein the associated diseases comprise diseases associated with at least one of the base index, the historical disease data, the existing disease data, and the family genetic disease data, respectively.
Further, the random forest prediction model is constructed based on big data.
Further, the associated disease data includes future disease category and probability.
Based on the cloud computing platform based on the data mining and the big data analysis, the invention also provides a cloud computing method based on the data mining and the big data analysis.
A cloud computing and method based on data mining and big data analysis comprises the following steps,
s1, acquiring basic indexes, historical diseased data, existing diseased data and family genetic disease data of a user;
s2, mining associated disease data of the user for the associated diseases in the future according to the basic indexes, the historical diseased data, the existing diseased data and the family genetic disease data;
s3, comprehensively analyzing the basic indexes, the historical disease data, the existing disease data, the family genetic disease data and the associated disease data to obtain a treatment or/and health preserving scheme.
The invention has the beneficial effects that: the method comprises the steps of carrying out data mining on basic indexes, historical disease data, existing disease data and family genetic disease data of a user to obtain associated disease data, and carrying out big data analysis based on the associated disease data to obtain a treatment or/and health maintenance scheme; the method effectively applies data mining and big data analysis to the field of health care, and effectively improves the medical level.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the basic indexes at least comprise sex, age, height, weight, living environment and a trend curve of the height and the weight changing along with the age.
Further, the data mining module is specifically configured to train the basic index, the historical diseased data, the existing diseased data, and the family genetic disease data by using a pre-constructed random forest prediction model, and mine associated disease data of the user who suffers from the associated disease in the future;
wherein the associated diseases comprise diseases associated with at least one of the base index, the historical disease data, the existing disease data, and the family genetic disease data, respectively.
Further, the random forest prediction model is constructed based on big data.
Further, the associated disease data includes future disease category and probability.
Drawings
FIG. 1 is a block diagram of a cloud computing platform based on data mining and big data analysis according to the present invention;
fig. 2 is a flowchart of a cloud computing method based on data mining and big data analysis according to the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, the technical solution of the present invention for solving the above technical problems is as follows: a cloud computing platform based on data mining and big data analysis comprises the following modules,
the data acquisition module is used for acquiring basic indexes, historical sick data, existing sick data and family genetic disease data of a user;
a data mining module for mining associated disease data of the user for future associated diseases based on the base indicator, the historical diseased data, the existing diseased data, and the family genetic disease data;
and the data analysis module is used for comprehensively analyzing the basic indexes, the historical disease data, the existing disease data, the family genetic disease data and the associated disease data to obtain a treatment or/and health maintenance scheme.
In this particular embodiment: the basic indexes at least comprise sex, age, height, weight, living environment and a trend curve of the height and the weight changing along with the age.
In this particular embodiment: the data mining module is specifically configured to train the basic index, the historical diseased data, the existing diseased data and the family genetic disease data by using a pre-constructed random forest prediction model, and mine associated disease data of the user who suffers from the associated disease in the future;
wherein the associated diseases comprise diseases associated with at least one of the base index, the historical disease data, the existing disease data, and the family genetic disease data, respectively.
In this particular embodiment: the random forest prediction model is constructed based on big data.
In this particular embodiment: the associated disease data includes future disease category and probability.
The method comprises the steps of carrying out data mining on basic indexes, historical disease data, existing disease data and family genetic disease data of a user to obtain associated disease data, and carrying out big data analysis based on the associated disease data to obtain a treatment or/and health maintenance scheme; the method effectively applies data mining and big data analysis to the field of health care, and effectively improves the medical level.
Based on the cloud computing platform based on the data mining and the big data analysis, the invention also provides a cloud computing method based on the data mining and the big data analysis.
As shown in fig. 2, a cloud computing and method based on data mining and big data analysis includes the following steps,
s1, acquiring basic indexes, historical diseased data, existing diseased data and family genetic disease data of a user;
s2, mining associated disease data of the user for the associated diseases in the future according to the basic indexes, the historical diseased data, the existing diseased data and the family genetic disease data;
s3, comprehensively analyzing the basic indexes, the historical disease data, the existing disease data, the family genetic disease data and the associated disease data to obtain a treatment or/and health preserving scheme.
In this particular embodiment: the basic indexes at least comprise sex, age, height, weight, living environment and a trend curve of the height and the weight changing along with the age.
In this particular embodiment: the data mining module is specifically configured to train the basic index, the historical diseased data, the existing diseased data and the family genetic disease data by using a pre-constructed random forest prediction model, and mine associated disease data of the user who suffers from the associated disease in the future;
wherein the associated diseases comprise diseases associated with at least one of the base index, the historical disease data, the existing disease data, and the family genetic disease data, respectively.
In this particular embodiment: the random forest prediction model is constructed based on big data.
In this particular embodiment: the associated disease data includes future disease category and probability.
The method comprises the steps of carrying out data mining on basic indexes, historical disease data, existing disease data and family genetic disease data of a user to obtain associated disease data, and carrying out big data analysis based on the associated disease data to obtain a treatment or/and health maintenance scheme; the method effectively applies data mining and big data analysis to the field of health care, and effectively improves the medical level.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A cloud computing platform based on data mining and big data analysis is characterized in that: comprises the following modules which are used for realizing the functions of the system,
the data acquisition module is used for acquiring basic indexes, historical sick data, existing sick data and family genetic disease data of a user;
a data mining module for mining associated disease data of the user for future associated diseases based on the base indicator, the historical diseased data, the existing diseased data, and the family genetic disease data;
and the data analysis module is used for comprehensively analyzing the basic indexes, the historical disease data, the existing disease data, the family genetic disease data and the associated disease data to obtain a treatment or/and health maintenance scheme.
2. The cloud computing platform based on data mining and big data analysis according to claim 1, wherein: the basic indexes at least comprise sex, age, height, weight, living environment and a trend curve of the height and the weight changing along with the age.
3. The cloud computing platform based on data mining and big data analysis according to claim 1 or 2, wherein: the data mining module is specifically configured to train the basic index, the historical diseased data, the existing diseased data and the family genetic disease data by using a pre-constructed random forest prediction model, and mine associated disease data of the user who suffers from the associated disease in the future;
wherein the associated diseases comprise diseases associated with at least one of the base index, the historical disease data, the existing disease data, and the family genetic disease data, respectively.
4. The cloud computing platform based on data mining and big data analysis according to claim 3, wherein: the random forest prediction model is constructed based on big data.
5. The cloud computing platform based on data mining and big data analysis according to claim 1 or 2, wherein: the associated disease data includes future disease category and probability.
6. A cloud computing and method based on data mining and big data analysis is characterized in that: comprises the following steps of (a) carrying out,
s1, acquiring basic indexes, historical diseased data, existing diseased data and family genetic disease data of a user;
s2, mining associated disease data of the user for the associated diseases in the future according to the basic indexes, the historical diseased data, the existing diseased data and the family genetic disease data;
s3, comprehensively analyzing the basic indexes, the historical disease data, the existing disease data, the family genetic disease data and the associated disease data to obtain a treatment or/and health preserving scheme.
7. The cloud computing method based on data mining and big data analysis according to claim 6, wherein: the basic indexes at least comprise sex, age, height, weight, living environment and a trend curve of the height and the weight changing along with the age.
8. The cloud computing method based on data mining and big data analysis according to claim 6 or 7, wherein: the data mining module is specifically configured to train the basic index, the historical diseased data, the existing diseased data and the family genetic disease data by using a pre-constructed random forest prediction model, and mine associated disease data of the user who suffers from the associated disease in the future;
wherein the associated diseases comprise diseases associated with at least one of the base index, the historical disease data, the existing disease data, and the family genetic disease data, respectively.
9. The cloud computing method based on data mining and big data analysis according to claim 8, wherein: the random forest prediction model is constructed based on big data.
10. The cloud computing method based on data mining and big data analysis according to claim 6 or 7, wherein: the associated disease data includes future disease category and probability.
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