http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111554401-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 |
| filingDate | 2020-03-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2020-12-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2020-12-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-111554401-B |
| titleOfInvention | AI (AI) chronic kidney disease risk screening and modeling method, chronic kidney disease risk screening method and system |
| abstract | The invention provides a method and a system for screening chronic kidney disease risks, and particularly relates to a method for constructing a chronic kidney disease risk screening model by a machine learning method. Therefore, the chronic kidney disease risk screening system with high efficiency, low cost and high accuracy is realized. The chronic kidney disease risk screening method adopts a machine learning BP neural network, an XGboost and random forest integration algorithm to train the chronic kidney disease risk screening model, can automatically screen high-risk groups of the chronic kidney disease according to basic body measurement information, symptom information, medical inspection and examination information, family history, past history, living habits and other data, and has the accuracy rate of more than 0.96. |
| priorityDate | 2020-03-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 114.