http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112349409-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d340a751459eaa74c541128ca1909d11 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241 |
| classificationIPCInventive | 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/G06K9-62 |
| filingDate | 2020-10-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_241007082641e94987ed1a8872d10339 |
| publicationDate | 2021-02-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112349409-A |
| titleOfInvention | A kind of disease type prediction method, device, equipment and system |
| abstract | The present application discloses a disease type prediction method, device, device and system. The method includes: receiving a disease type prediction request; according to the disease type prediction request, using a symptom data set in a reinforcement learning disease type determination model to perform symptom detection Query and collect symptom information, wherein the reinforcement learning disease type determination model includes multiple symptom datasets, the multiple symptom datasets are classified based on the classification of departments in the medical system, and different symptom datasets include symptom databases of different medical departments ; According to the collected symptom information, use the disease type classifier in the reinforcement learning disease type determination model to determine the disease type prediction result corresponding to the disease type prediction request. The present invention includes a plurality of symptom data sets classified based on the classification of departments in the medical system, and can predict a variety of disease types. The present invention has wider prediction of disease types and stronger adaptability. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113436754-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113057589-A |
| priorityDate | 2020-10-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 20.