| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2a819eda0adf22936a52362eeebb9fb4 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-746
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F19-3437
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-252
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F19-3443
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-2465
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H70-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-3056
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-30539 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H70-60 |
| filingDate |
2016-10-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_753df05b275ad359dfeb16b1f37710b4
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_03c95567414f8f54500f29b49444ab24
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4b626622e2f3b101869d3f00c45fa15a |
| publicationDate |
2017-02-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2017046499-A1 |
| titleOfInvention |
Recognizing predictive patterns in the sequence of superalarm triggers for predicting patient deterioration |
| abstract |
Methods for predicting patient deterioration or clinical events by detecting patterns in heterogeneous temporal clinical data streams that are predictive of certain clinical end points and matching the patient state with those patterns are described. The detected patterns, referred to as SuperAlarm triggers, are a predictive combination of frequently co-occurring monitor alarms, conditions and laboratory test results that can predict patient deterioration for imminent life-threatening events. SuperAlarm triggers may also exhibit patterns in the sequence of SuperAlarms that are triggered over the monitoring time of a patient. Sequential patterns of SuperAlarm triggers may also indicate a temporal process of change in patient status. SuperAlarm based alerts will also greatly reduce the number of false alarms and alarm fatigue compared to conventional alarms. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11216742-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022184570-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019195788-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11468355-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/DE-102018121349-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113552856-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110211697-A |
| priorityDate |
2014-04-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |