http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114724700-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e6f10c42037f0c11736eb81a6a6076f7
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20
filingDate 2022-03-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_807c5ad218a583bae1a94d71c2f9a4c8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ae60560db59d5f91c990d377735cdd95
publicationDate 2022-07-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-114724700-A
titleOfInvention Method, device and electronic device for constructing a prediction model for lymphocyte count recovery
abstract The invention provides a method, device and electronic equipment for constructing a lymphocyte count recovery prediction model, and relates to the technical field of cancer risk assessment, including acquiring pre-radiotherapy clinical feature information and post-radiotherapy medical examination information of training set objects; The clinical feature information is used to classify the training set objects, and the classification results of the training set objects are obtained; the progression-free survival period value of the training set objects is determined based on the clinical feature information of the training set objects; based on the classification results of the training set objects, the progression-free survival period value A survival curve was drawn; a lymphocyte count recovery prediction model was constructed based on the associated values of the predictors. This application can comprehensively utilize the complementary effect of each independent factor of patients, quantitatively and accurately evaluate the recovery probability of early-stage NSCLC patients after receiving SBRT, improve the prediction effect on the survival of NSCLC patients after receiving SBRT, and provide close monitoring and monitoring of high-risk patients in a timely manner. Additional therapeutic interventions.
priorityDate 2022-03-08-04:00^^<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/CID450503
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419578282

Total number of triples: 21.