http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2018068910-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8fb9f44db08d1c42a53f3d28eaae416f |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B10-00 |
| filingDate | 2016-11-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b72a99f33139d1c0336da1c2e2cec535 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6911155d01595d5666e8f678014b56e3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_65d63221775fdd49401c1c7bef761ead |
| publicationDate | 2018-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | JP-2018068910-A |
| titleOfInvention | Disease prediction method |
| abstract | The present invention provides a disease prediction method that can predict the onset of a disease from a disturbance of daily life rhythm with a small load on a subject for measurement. The relationship between at least subject activity information acquired by a plurality of subjects acquired in advance and subject activity information related to a time zone during which the activity was performed and subject state information related to the physical state of the subject is expressed. Step S504 is performed to predict the disease or disorder that the user develops by applying the user activity information regarding the status of the activity performed by the user and the time zone during which the activity is performed to the disease related information. [Selection] Figure 5 |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2020119406-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2018191722-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2020197948-A |
| priorityDate | 2016-11-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 20.