http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113591768-A

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0b750d77e435cf8dcfab40f795458714
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_603001bc1d7735a3d5a915220666079c
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20
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filingDate 2021-08-10-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d69714ebe35b289fc27f9e0f30aeaf2e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_03e97eeb2edf9052bc359cea0f1bb461
publicationDate 2021-11-02-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-113591768-A
titleOfInvention A kind of gene mutation analysis method and system based on blood test index
abstract The invention discloses a gene mutation analysis method and system based on blood test indicators, which belongs to the field of medical data processing and includes a data acquisition module, which is used for acquiring pictures of blood routine test sheets, blood biochemical test sheets, and tumor marker test sheets, and identifying them. Blood routine, blood biochemistry, tumor marker test sheet pictures, detect indicators, age, gender, or directly import relevant data from electronic data; gene variation analysis module, which is used to predict the corresponding pending screening based on the gene variation analysis model The training process of the gene variation analysis model is as follows: construct a sample set for the wild type and mutant type of a gene; use blood routine, blood biochemistry and tumor marker indicators to establish learning samples; use learning The sample trains the machine learning algorithm model to obtain the gene variation analysis model. The invention uses blood routine, blood biochemistry and tumor marker indexes to predict the mutation situation of a gene, and innovates the screening method of tumor gene mutation.
priorityDate 2021-08-10-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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