http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022250445-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5abf4d3526437e233a60260086309067 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B5-00 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-20 |
| filingDate | 2022-05-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d4f8b613541dfe9a0ef3e21ce11150bd http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ef4667476e72e8d5d443ec33b14942b7 |
| publicationDate | 2022-12-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | WO-2022250445-A1 |
| titleOfInvention | Method and diagnostic apparatus for determining presence of stomachache by using machine learning model |
| abstract | A method for determining the presence of a stomachache by using a machine learning model may comprise the steps of: analyzing a mixture obtained by mixing an intestine-derived material collected from an individual with an intestinal environment-like composition; extracting a plurality of pieces of microorganism data on the basis of the result of analyzing the mixture; selecting a microorganism-related variable to be used in a machine learning model from among the plurality of pieces of microorganism data on the basis of a preset variable selection algorithm; training the machine learning model by using the microorganism-related variable; and determining the presence of a stomachache by inputting microorganism data collected from an object being tested into the trained machine learning model. The microorganism-related variable may include an amount of at least one microorganism selected from families belonging to the order Bacillales, the order Lactobacillales, the order Oscillospirales, the order Lachnospirales, the order Coriobacteriales, the order Peptostreptococcales-Tissierellales, the order Bacteroidales, and the order Bifidobacteriales. |
| 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: 105.