http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113397501-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_b54b26a418326924737f4f78ca42feb1 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-726 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-369 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7246 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7203 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0205 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-318 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-746 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0205 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-318 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-369 |
| filingDate | 2021-05-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6ca8e22be3e2c56500353bd65ff0aab5 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1c919212369b31ec21ad61c385221411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1018a13a9fea1c0df732ad3bebebe808 |
| publicationDate | 2021-09-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113397501-A |
| titleOfInvention | Nephropathy detection method based on big data |
| abstract | The invention belongs to the technical field of medical detection, and discloses a nephropathy detection method based on big data, which comprises the steps of connecting each monitor with a central processing unit by using a transmission line to form a complete monitoring system; connecting an electric patch to a patient, and displaying related data on a display screen; establishing a model for the nephropathy public data set on the network by using model establishing software; the body signal data of the patient and the analysis and input of each component of the blood and the urine are input into the established model, and whether the patient is a nephropathy or not is judged. According to the invention, the monitoring module is arranged to collect various signals of the body of the patient by using the corresponding sensors, the nephropathy judgment is carried out by combining the body data of the patient, the judgment accuracy of a doctor is improved, the potential abnormality is found, the nephropathy data of various conditions in the world is fully utilized by setting the model, the analysis and the discovery of some invisible and even rare nephropathy conditions can be ensured, and the detection accuracy and the discovery rate are improved. |
| priorityDate | 2021-05-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 28.