http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114783517-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ada68032e6c5599de33d868231aaa52d |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20104 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-20 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 |
| filingDate | 2022-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e4d7a066b5dfa914340d2d0e218b0bed http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5721bc731701230f31a261b713663ed8 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6d6d436c35094179a1df12a4bca706e5 |
| publicationDate | 2022-07-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114783517-A |
| titleOfInvention | Prediction of RAS gene status in CRLM patients based on radiomics and semantic features |
| abstract | The invention belongs to the technical field of intelligent medical treatment, and in particular relates to a model for predicting the RAS gene status of patients with liver metastases from advanced colorectal cancer based on imaging omics features and its application. The present invention successfully constructed a model for predicting the RAS gene status of patients with advanced colorectal cancer liver metastases based on radiomics features: collecting patients' enhanced CT images before initial treatment, extracting radiomics features, and using 1000 Lasso-Logistic analyses to obtain 12 A radiomics feature was used to construct a radiomics prediction model using a multivariate logistic regression method. The present invention utilizes enhanced CT images to achieve economical, non-invasive and rapid prediction of the RAS gene status of colorectal cancer liver metastases patients, assist genotyping, and can help clinicians make precise and individualized treatment decisions, and has great clinical significance. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115274119-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115274119-A |
| priorityDate | 2022-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID3730 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419491824 |
Total number of triples: 23.