http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20200049503-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f2d3f4111205626392f051303e7b8819 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H20-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 |
| filingDate | 2019-08-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4772179d1ce0f3e900a28b488ce9cdec http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6c4900ea59c94c3baa71156c748b7dba http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0426116804e467e3077be228c09cf699 |
| publicationDate | 2020-05-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | KR-20200049503-A |
| titleOfInvention | System for cancer therapeutic recommendation using machine learning technique and method thereof |
| abstract | The present invention relates to a system and method for recommending a therapeutic agent using a machine learning technique. According to the present invention, in a method for recommending a cancer treatment using a system for recommending a treatment using a machine learning technique, using the characteristic information of the cancer patient and the prescription data for the treatment of cancer, establishing a database of the complete patient and the database of the patient, respectively, Generating a first neural network model by applying characteristic information and prescription data included in a complete patient database to multi-level machine learning, and multi-leveling characteristic information and prescription data included in the death patient database Generating a second neural network model by applying to machine learning, receiving characteristic information of a subject for recommending a cancer treatment, applying the characteristic information of the subject to the first neural network model to obtain one or more first cancer treatments Extracting, the characteristic information of the subject is the second neural network Applying to Dell to extract one or more second cancer therapeutic agents, and when the second therapeutic agent is overlapped among the first therapeutic agents, removing the second therapeutic agent from the first therapeutic agent to obtain a final recommended cancer therapeutic agent A method of recommending a cancer treatment, comprising the steps of providing it to a subject. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022006150-A1 |
| priorityDate | 2018-10-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 40.