http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111161879-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2020-02-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2020-10-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2020-10-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-111161879-B |
| titleOfInvention | A disease prediction system based on big data |
| abstract | A disease prediction system based on big data, comprising a data acquisition module, a data processing module, a disease prediction building module, a disease prediction module and an information display module, the data acquisition module is used for acquiring human body physiological parameter sample data and a patient's physiological parameters data, the data processing module separately processes the obtained sample data and the patient's physiological parameter data, and the disease prediction building module uses the processed human physiological parameter sample data to train the support vector machine, and obtains the data for use according to the human body's physiological parameters. A support vector machine model for disease prediction based on physiological parameter data, the disease prediction module performs disease prediction according to the processed physiological parameter data of the patient, and the information display module is used for displaying the prediction result. The beneficial effects created by the invention are as follows: the big data technology combined with the support vector machine is applied to the disease prediction, and the accuracy of the disease prediction is improved. |
| priorityDate | 2020-02-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID426284247 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 |
Total number of triples: 17.