http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112837804-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_b70cf6251321061e6870f77e5f2eb19f |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H20-00 |
| filingDate | 2021-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6adf48e7b3d13975c3ed6ad361f34079 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e100570e8c6a451359da4c9b879b94e1 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7bf93618131a45598084d859fd11b1d7 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_82cb6b39a06a2c6c0ca716c7884064b4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6fb1372e17d7dd6c7b9813dcab7fb23b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cf9787a1b58e35c82aacd833ac15c51f |
| publicationDate | 2021-05-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112837804-A |
| titleOfInvention | A method for personalizing chronic disease health management with artificial intelligence |
| abstract | The invention relates to an artificial intelligence personalized chronic disease health management method. It proposes that chronic disease information, personal information and time are functional relationships. By monitoring personal information and diagnosing chronic disease categories, based on the big data of the group, the depth of artificial intelligence is adopted. Methods of learning and personalized training, establish mathematical models such as conceptual equations, partial differential equations, fuzzy mathematical equations, artificial intelligence models, hybrid models, predictive models, one-way mapping models, and two-way mapping models, design relevant algorithms, and formulate individual patient Execute the management plan, monitor the effect of the management, and form a personalized and continuously upgraded chronic disease health management plan by executing training and optimizing the adjustable personal information and management effect model. 4 methods to reduce patient management costs and physical damage, including training method, personal information adjustment method, and software simulation method; design cloud center, blockchain and secure multi-party computing cloud security model to protect personal privacy; design for diabetes , 2 application examples of cardiovascular disease. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114441506-A |
| priorityDate | 2021-01-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 95.