http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2023504519-A
Outgoing Links
Predicate | Object |
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classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-742 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-17 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-14532 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4848 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61M5-168 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H20-17 |
filingDate | 2020-12-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2023-02-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | JP-2023504519-A |
titleOfInvention | Self-benchmarking for dosing guidance algorithms |
abstract | A benchmarking approach is employed that compares the advice output from one or more alternative treatment guidance algorithms to the current actual treatment in terms of treatment outcome. Treatment outcomes of current strategies are mirrored or profiled in actual BG outcomes. Treatment outcomes for dose advice generated by alternative algorithms are based on patient-specific models. Performance scores can be used to directly compare two outcome sets or as a weighted combination that penalizes or rewards certain outcomes. Statistical tests can be applied to the accumulated results (paired outcomes or scores) to determine whether the algorithm outperforms the user's current or alternative dosing strategies. [Selection drawing] Fig. 1 |
priorityDate | 2019-12-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 108.