| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8bde9c7a81048e094438b90f7fc7887f |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2562-0219 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-686
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4528
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1114
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-20 |
| filingDate |
2022-06-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1337a547472e155ab0cbc3787e68dd20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5b3f09bf332a28e859457af8c112c6e6
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b37a50cc268da4c1eeddb29d4c84c84d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_15ae201212947fb5f151ae736dc4ee1b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_27999e3e6c888efbc8f0fa8ad24c2685
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9907671101a6dd59e53887fa0dea45c5
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e72aca3280dd3a65ec2859bcac25912a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3f21ade64ffa3340a089bdb798c4b55a
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_94d132e9d10ae4ae9ba87c176255c9ea
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a08669b3ddaea0dbe389ab26014e718f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ecf21ccc2a386bbfd69595c999ef6f53
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a9d98e258016de3ee1ce47b24698bd24 |
| publicationDate |
2023-01-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2023022710-A1 |
| titleOfInvention |
Systems and methods for processing and analyzing kinematic data from intelligent kinematic devices |
| abstract |
An apparatus for predicting an outcome of a patient includes a processor, and a memory storing computer executable instructions, which when executed by the processor cause the processor to perform operations comprising obtaining patient kinematic data of the patient; deriving one or more patient kinematic features from the patient kinematic data; and determining the outcome based on the one or more patient kinematic features and at least one additional data element of the patient using an outcome model trained on a training set of kinematic features of the same type as the patient kinematic features and the at least one additional data element. |
| priorityDate |
2021-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |