http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3599616-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_53c911e75ea09dd4c2705db5306dae77 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H70-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H70-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-20 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 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/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H15-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L67-1097 |
| classificationIPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L29-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-60 |
| filingDate | 2018-07-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_96942de04ca82736a743bb5907f75e87 |
| publicationDate | 2020-01-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | EP-3599616-A1 |
| titleOfInvention | System and method for providing a medical data structure for a patient |
| abstract | The invention provides a method and a system for providing a medical data structure (200) for a patient (1). The system (1000) comprises: na plurality of data sources (11-i), each data source (11-i) configured to provide medical data of the patient (1); na computing device (100) configured to implement an artificial neural network structure (10) comprising: na plurality of encoding modules (12-i), at least one for each data source (11-i), each encoding module (12-i) being realised as an artificial neural network configured and trained to generate, from the medical data from the corresponding data source (11-i), a corresponding encoded output matrix; na weighting gate module (14-i) for each of the encoding modules (12-i), each weighting gate module (14-i) configured to weight the encoded output matrix of the corresponding encoding module by multiplying it with a weighting factor (αi); na concatenation module (16) configured to concatenate the weighted output matrices of the weighting gates to a concatenated output matrix; and nan aggregation module (18) realised as an artificial neural network configured and trained to receive the concatenated output matrix and to generate therefrom the medical data structure (200) for the patient (1); n nwherein the artificial neural network structure (10) is trained as a whole using a cost function. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114732634-A |
| priorityDate | 2018-07-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 35.