http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2021257777-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_fe2d8a10ec14cd3998ef9c0637e811b1 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_76ba102ea9c02b6633d64bf09c5b89a4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_56b90d17de0eceddc446d5629249e81a |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-01 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N5-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
| filingDate | 2021-06-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3ef710a2348d878e2c67fa094ee5ca00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5920b876877a3a2dc1d3ba672b896eda |
| publicationDate | 2021-12-23-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | WO-2021257777-A1 |
| titleOfInvention | Machine learning systems and methods for predicting risk of incident opioid use disorder and opioid overdose |
| abstract | A method for using a trained machine learning model to predict risk of incident opioid use disorder (OUD) and/or of an opioid overdose episode for a subject. The method comprises using at least one computer hardware processor to perform: accessing data associated with the subject, wherein the data comprises values for a plurality of predictors; generating input features for the trained machine learning model from the data; and providing the input features as input to the trained machine learning model to obtain an output indicative of the risk of OUD and/or of the opioid overdose episode for the subject, wherein the trained machine learning model comprises a first plurality of values for a respective first plurality of parameters, the first plurality of values used by the at least one computer hardware processor to obtain the output from the input features. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022189641-A1 |
| priorityDate | 2020-06-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 35.