http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109791124-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H01J49-0036 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H01J49-0036 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-57484 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-623 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N27-62 |
| filingDate | 2016-07-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-08-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-08-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-109791124-B |
| titleOfInvention | Mass spectrometry data analysis device and analysis method |
| abstract | The purpose is to ensure the independence of the tumor marker test performed in parallel when performing cancer determination by using machine learning on mass spectrometry data of a sample collected from a subject, and to improve the reliability of mutual diagnosis . The m/z values of ions derived from substances used in other tests, such as tumor markers, are stored in the attention m/z value DB (31) in advance, and the spectrum information filter (22) is classified according to the presence of cancer and the absence of cancer. Deletes the signal intensities of the m/z values stored in the m/z value DB(31) of interest from the multiple mass spectra. A learning processing unit (23) obtains learning result information using the deleted data as learning data, and stores it in a learning result DB (32). Similarly, for the mass spectrum data of the target sample to be determined, the signal intensity of the predetermined m/z value is deleted, and then the determination processing unit (24) determines the classification based on the learning result information stored in the learning result DB (32). To which category of cancerous and non-cancerous. |
| priorityDate | 2016-07-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 257.