http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022246882-A1
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_422bfd18b8ac37c63481a7a7ca525b5b http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f8a30fcfff404b9e0bb50c69a8fbbfa8 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 |
filingDate | 2021-06-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_229818417cfd211fa0443bc95569ad28 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0662eff60a402ec8c593dc1d738d8d42 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e26c922cf67e5135ff8842d6dc3db6c1 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c5d2c85fcc9cbaef5d39dea85b772d89 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b7ef0fa88814ae0d2368d44443efef9e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0d1dea333800ee24fbc0c0b7eccf9e98 |
publicationDate | 2022-12-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | WO-2022246882-A1 |
titleOfInvention | System and method for diagnosing polycystic ovary syndrome |
abstract | A system for diagnosing polycystic ovary syndrome. The system comprises: a data collection module, which is used for acquiring an anti-Mullerian hormone (AMH) level of a subject, collecting an upper limit of the number of days of a menstrual cycle initiatively provided by the subject, collecting a BMI of the subject, and acquiring data of an androstenedione (AND) level of the subject; and a module for calculating the probability of suffering from polycystic ovary syndrome, which module is used for calculating the above data information acquired in the data collection module, thereby calculating the probability (p) of the subject suffering from polycystic ovary syndrome. By means of the system, the probability (p) of a subject suffering from polycystic ovary syndrome can be calculated, and the probability (p) of the subject suffering from polycystic ovary syndrome is grouped according to a default polycystic ovary syndrome grouping parameter pre-stored in the system, thereby determining the risk of the subject suffering from polycystic ovary syndrome. |
priorityDate | 2021-05-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 84.