http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114613509-B
Outgoing Links
Predicate | Object |
---|---|
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-14532 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24155 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-145 |
filingDate | 2022-04-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2022-11-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2022-11-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-114613509-B |
titleOfInvention | An individualized learning system for long-term adaptation of artificial pancreas based on Bayesian optimization |
abstract | The invention discloses an individualized learning system for long-term adaptation of an artificial pancreas based on Bayesian optimization, comprising an individual blood sugar condition evaluation module, an individualized AP parameter learning module and a Bayesian optimization module. The present invention adopts the above-mentioned individualized learning system for long-term adaptation of artificial pancreas based on Bayesian optimization, implements individualized AP self-adaptation, stably adjusts AP parameters (BR), increases the proportion of normal blood sugar time, and significantly reduces the occurrence of hypoglycemia risks of. |
priorityDate | 2022-04-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 122.