| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_dd554226db6acd26c2c6b6051e3b54d6 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H40-67
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-698
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-412
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2113
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2148
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2132
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2193 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 |
| filingDate |
2020-12-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d6d3ab0a8a0150e8c23d6a20e9926907
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_548c8b9a0a1b9849e6800667e67ef061
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_088a05f305c79256ffe950d3cfbac029
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5a716113bc191c9219568e52078c482d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9422c9f24732bfce7e48528cf1a3aace
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2486cb46cbd088ccdf95501de63934d1 |
| publicationDate |
2021-09-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
EP-3882922-A1 |
| titleOfInvention |
Discriminating features based sepsis prediction |
| abstract |
Sepsis is one of the most prevalent causes of mortality in Intensive Care Units (ICUs) and delayed treatment is associated with increase in death and financial burden. There is no single laboratory test or clinical sign that by itself can be considered diagnostic of sepsis. The present disclosure provides discriminating domain specific continuous and categorical features that can reliably classify a subject being monitored into a sepsis class or a normal class. A combination of physiological parameters, laboratory parameters and demographic details are used to extract the discriminating features. Even though the parameters may be sporadic in nature, the systems and methods of the present disclosure make use of a sliding time window to generate continuous features that capture the trend in the sporadic data; and a binning approach to generate categorical features to discriminate deviation from the normal class and facilitate timely treatment. |
| priorityDate |
2020-03-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |