| 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/G16H50-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-00 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-60 |
| filingDate |
2020-10-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_346631c7035c69aa20f985c78239fcc9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_83cd106eb29d4c7836662eefdcbd3c9f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3730bf39167e51255f6ffa3ab0a6e939
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_703a3f92ad3d3be8d1e825d0ffee1009
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_336ea3cb07f15ad8154f7e60475a8da9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6e5c2214c6821b9ca440f54c16dc80ee
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6792e114846006988aae712c574615ea
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d9cd85ab122b4d3b2eb1884331af70b8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_40fe0fed41e400be580cb21ae91a0bb5 |
| publicationDate |
2022-10-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2022344013-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 |