http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20210085957-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_87d40fb4785f5b3f1a4dba8c69339d1a |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-60 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/G16H70-60 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H70-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H20-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-50 |
| filingDate | 2019-12-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_898d0933fc95e2350b01ba7fe990685c |
| publicationDate | 2021-07-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | KR-20210085957-A |
| titleOfInvention | System and method for predicting disease based on ai and safety index of saccharide intake using glucose load index according to the intake food of korean |
| abstract | The present invention relates to an artificial intelligence disease prediction system based on the safety index of sugar intake according to the dietary food of Koreans using the glycemic load factor, and more specifically, as an artificial intelligence disease prediction system, using food information on the dietary food of Koreans, an index calculation module for calculating a sugar intake safety index according to the glycemic load factor of the food consumed by the user; a learning module for constructing a disease prediction model by learning the correlation between the sugar intake safety index and the health diagnosis index for each chronic disease based on artificial intelligence; and a prediction module for predicting the risk of chronic disease by inputting the sugar intake safety index calculated by the index calculator into the disease prediction model. In addition, the present invention relates to an artificial intelligence disease prediction method based on the sugar intake safety index according to the dietary food of Koreans using the glycemic load index, and more specifically, as an artificial intelligence disease prediction method, (1) calculating a sugar intake safety index according to the glycemic load factor of the food consumed by the user by using the food information; (2) constructing a disease prediction model by learning the correlation between the sugar intake safety index and the health diagnosis index for each chronic disease based on artificial intelligence; and (3) predicting the risk of chronic disease by inputting the sugar intake safety index calculated in step (1) into the disease prediction model. According to the artificial intelligence disease prediction system and method based on the sugar intake safety index according to the dietary food of Koreans using the glycemic load index proposed in the present invention, the sugar intake safety index according to the glycemic load index of the food consumed by the user and the chronic disease By learning the correlation between each health diagnosis index based on artificial intelligence and predicting the user's chronic disease risk using the learned disease prediction model, it is possible to identify the user's chronic disease risk early, In addition to the health check-up, the risk of chronic diseases can be continuously monitored on a daily basis. In addition, according to the artificial intelligence disease prediction system and method based on the sugar intake safety index based on the dietary food of Koreans using the glycemic load factor proposed in the present invention, a disease prediction model is constructed by dividing by age group and gender, and chronic disease By predicting the risk, it is possible to check the user's own location by comparing it with the status of Koreans of the same age and gender, so that the health status can be compared with other people and awareness of chronic diseases can be raised. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113470774-A |
| priorityDate | 2019-12-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 215.