http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110349675-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_6fbb91e3f8cdf858527814216aa11142 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A90-10 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24323 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-006 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30 |
| filingDate | 2019-07-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b783d94b37ba65c73edccdb62b3eae57 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c8a92052c22943493e91e870971b7416 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_48942069f530a309c2b391ead450d35d |
| publicationDate | 2019-10-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110349675-A |
| titleOfInvention | Cardiovascular disease prediction equipment and device |
| abstract | This application discloses a cardiovascular disease prediction device and device, which can optimize the parameters of the random forest algorithm based on the fruit fly algorithm to obtain the optimal parameters; and build a random forest prediction model according to the optimal parameters; finally, the historical cardiovascular disease The data is input into the random forest prediction model to obtain the prediction results of cardiovascular diseases. In the above process, this application dynamically adjusts the optimization step size strategy based on the change rate of the odor concentration value, which balances the local search and global search capabilities of the fruit fly algorithm; in addition, the local optimal problem is prone to occur in the fruit fly algorithm , introducing Cauchy mutation to disturb the iterative optimization process of the fruit fly algorithm; finally, using the improved fruit fly algorithm to optimize the parameters of the random forest model, avoiding the subjective interference existing in the traditional parameter selection algorithm. Therefore, the present application has the characteristics of short time consumption and high prediction accuracy in the process of cardiovascular disease prediction. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112397199-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116131925-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111544846-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111544846-B |
| priorityDate | 2019-07-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 26.