http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113113142-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a93f146fe52d3ad83f3e58701e8eb3b0 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30 |
| filingDate | 2021-04-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0f40d3413e51dd34da080e3cd51fc4c3 |
| publicationDate | 2021-07-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113113142-A |
| titleOfInvention | Method for predicting diabetes risk by using intelligent analysis technology |
| abstract | The invention discloses a method for predicting the risk of diabetes by using an intelligent analysis technology, which comprises the following steps: selecting a sample, and acquiring characteristic information of the sample according to a preset frequency; dividing the sample into a diseased group sample and a normal group sample according to whether the diabetes is diagnosed; calculating and obtaining lesion trends of various dynamic indexes in the characteristic information according to the characteristic information of preset times before the patients are diagnosed; calculating to obtain the development trend of each dynamic index in the characteristic information according to the characteristic information of the normal group of samples which is the latest by the preset times; and comparing and calculating the similarity of the development trend and the lesion trend, and obtaining the corresponding disease risk degree of the normal group sample according to the similarity. The data source time span of the invention is large, the stability is strong, and the predictability is far higher than the prior art, thus the accuracy can be more effectively improved. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113658704-A |
| priorityDate | 2021-04-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 16.