http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2020234388-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_966a6c1f382ec9bcb5e3839dfd73e5b8 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-40 |
| filingDate | 2020-05-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f1ff9b90743fdb33936bd26726e44c3d http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b28ab4bd1763a6fe4b755c9e4dbf2ed3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ba5d924bcdbc685adc9a8a68676a1fd3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ff9fb8d4b10911c1f380b1724df586dc |
| publicationDate | 2020-11-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | WO-2020234388-A1 |
| titleOfInvention | Propensity score based assessment of patient data |
| abstract | The invention relates to a computer-implemented method for assessing the suitability of patient data for accurately determining the efficacy, effectiveness and/or safety of a medical treatment. The method comprises: - providing (102) a data set (200) comprising a plurality of data records (214, 218, 222, 224) of patients, each data record comprising feature values and a label indicating a treatment status; - training (104) a neuronal network (410) on the data set for providing a trained neural network; - computing (106), by the trained neural network, a feature vector for each of at least a subset of the patients, the vector being a dimensionally reduced representation of the feature values; - computing (108) propensity scores by performing a regression analysis of each feature vector and the label of the said data record, the propensity score being indicative of the likelihood that a patient having a particular set of feature values will receive a particular medical treatment; - outputting (120, 122) whether or not the data records of the subset of patients are suitable for accurately determining the efficacy, effectiveness and/or safety of the medical treatment as a function of the propensity scores. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023043695-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11521724-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113113140-A |
| priorityDate | 2019-05-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 40.