http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2020003882-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ac08332f12dd47461c722320c873b914 http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_b42735c06f02330a47eb8945d5f13423 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-22 |
| filingDate | 2018-06-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e6bbb2ac6de8870dcdcdbcf26abfaa83 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6a26b8767163426998eb8047b5bbbb9a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4e187adbeb0c9e6ec9bdc9c558f06304 |
| publicationDate | 2020-01-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | JP-2020003882-A |
| titleOfInvention | Risk evaluation method, risk evaluation device and risk evaluation program |
| abstract | An object of the present invention is to provide a technique for improving accuracy in evaluating the magnitude of a risk relating to a health condition of a subject. A risk evaluation method stores medical examination information including a measured value of a health checkup of a plurality of subjects in a predetermined period, and receipt information including medical expenses and names of injuries and illnesses of the plurality of subjects in a predetermined period. And the number of times of consultation with a given injury or disease name obtained by summing the measured values of the predetermined measurement items included in the medical checkup information and the receipt information as an explanatory variable, and formed by the product of the explanatory variables. Creating a model that includes an interaction term that includes a predetermined injury name in the receipt information and a probability that the medical expenses will be equal to or greater than a predetermined threshold value, and stores the medical examination information of the subject after a predetermined period. And a computer executes a risk evaluation step of calculating a risk evaluation value using a value based on the medical examination information and a model. [Selection diagram] Fig. 1 |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7054099-B1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113393935-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113724860-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111652746-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111652746-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2021174131-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113077896-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022085785-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023047766-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2021215073-A1 |
| priorityDate | 2018-06-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 38.