http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11011274-B2
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a9ea74cc4857e47359bfd38c9510a453 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F19-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 |
| filingDate | 2016-03-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2021-05-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9f8c04ee41b99422e91d871182736acc http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c7726a23df33cd669b4961c0cdcd6083 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_dde9ec8a97190142082e9dc8a13a07f2 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_aa1d710bd670f10dfbc687191d5b8f48 |
| publicationDate | 2021-05-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | US-11011274-B2 |
| titleOfInvention | Method and apparatus for predicting mortality of a patient using trained classifiers |
| abstract | A method, non-transitory computer readable medium and apparatus for predicting mortality of a current patient are disclosed. For example, the method includes receiving data associated with a plurality of different patients with known mortality outcomes, wherein the data includes a subset of data for each one of a plurality of different measurement timepoints for each one of the plurality of different patients, calculating n number of classifiers, wherein n is equal to a number of the plurality of different measurement timepoints, receiving data associated with the current patient at an i-th measurement timepoint, predicting the current patient has a high mortality risk based on an output of the i-th classifier of the n number of classifiers and transmitting a signal to a health administration server to cause an alarm to be generated in response to the high mortality risk that is predicted. |
| priorityDate | 2016-03-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 72.