http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107292286-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V30-194 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V40-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B7-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-66 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B7-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate | 2017-07-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2021-10-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2021-10-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-107292286-B |
| titleOfInvention | Breath sound identification method and system based on machine learning |
| abstract | The invention discloses a breath sound identification method and system based on machine learning. The method comprises the steps of: collecting breath sound data of all auscultation points of users of multiple age groups; recording relevant information matching each breath sound data, and recording The matched relevant information and breath sound data are packaged into breath sound data packets; deep learning classification is performed on the breath sound data packets to obtain a breath sound machine learning classifier for each age group; according to the age of the obtained real-time breath sound data packets segment, select the corresponding breath sound learning classifier for data analysis and obtain the analysis results. The invention encapsulates the breath sound data of different age groups and the related information matching them into breath sound data packets for deep learning classification, and obtains breath sound machine learning classifiers of different age groups, so as to perform data analysis on real-time collection of breath sound data packets And obtain the results to achieve accurate and intelligent disease analysis and identification, which is convenient to assist doctors in clinical research. |
| priorityDate | 2017-07-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 22.