| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_4b2b7114ea70a627197f97f430b52bd4 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F19-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-30 |
| filingDate |
2020-10-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6792e114846006988aae712c574615ea
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5c2b2037282369f4dde5e90330f43de8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6773525673be726d043b597952c031cb
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3efc9c09b316ae47c7099238cde0020d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f44113af26efa33887cdf8ad8c78b75c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8d081bed55dd23fb25262ce8690163d6
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_abcedf9e258c3e95165cec1fdc33ee6e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4d4b6850a987f29c74c1dfae7c33fa94
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_42296ad793f24bb7c7b752b8bd509f23 |
| publicationDate |
2021-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2021067733-A1 |
| titleOfInvention |
Directing medical diagnosis and intervention recommendations |
| abstract |
A method for determining at least one of a medical diagnosis recommendation and a medical intervention recommendation for a subject. At least one of electronic health record (EHR) data and biomarker data for the subject are input into a diagnostic/intervention recommendation model that comprises parameters and a function. The parameters are identified based on a training dataset that comprises a plurality of training samples. Each training sample is associated with a retrospective subject and includes at least one of EHR data and biomarker data for the retrospective subject. The function represents a relation between the at least one of EHR data and biomarker data for the subject received as inputs to the diagnostic/intervention recommendation model, and at least one of a medical diagnosis recommendation and intervention recommendation for the subject generated as an output of the model. |
| priorityDate |
2019-10-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |