http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2019200788-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7e516ef2314a11d9f1ef27ed541c33df |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-50 |
| filingDate | 2019-05-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_36642948f42ed4326fda31c1496d93a0 |
| publicationDate | 2019-11-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | JP-2019200788-A |
| titleOfInvention | Method, information processing apparatus, and computer program for predicting future bone mass |
| abstract | A method for predicting future BMD or BLR to the future, and an information processing apparatus and program for prediction based on information obtained inexpensively and easily in addition to BMD measurement values for postmenopausal women. Measurement of BMD at the first time point as an input factor for a plurality of women whose BMD was measured at a second time point that was measured at a first time point after menopause and measured at a second time point after five years or more with teacher data of ANN Enter the value and age information or body measurement information or menstrual history information, input the BMD measurement value at the second time point as the output factor, prepare a learned model that learned the relationship between the input factor and the output factor, and after menopause This is a prediction method for obtaining a BMD prediction value by applying a BMD measurement value and age information or physical measurement information or menstrual history information at a third time point to a learned model for a woman whose BMD has been measured at the third time point. Furthermore, when the output factor includes the BLR calculation value from the first time point to the second time point, the prediction method obtains the BLR predicted value. [Selection] Figure 1 |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7217906-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20210081770-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7283673-B1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102505614-B1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7264364-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/TW-I719843-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7266230-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7283672-B1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7260886-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-7260887-B2 |
| priorityDate | 2018-05-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 88.