http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20120016555-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_56820bbb13a42311271e147869a36d30 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-22 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-00 |
filingDate | 2010-08-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9f29b7ca4c92d5ce5a94e074e3344687 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6dc32efae38690776f296b05bf24d22c http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_db17859e736c4d9a50ddd09046335cfe |
publicationDate | 2012-02-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | KR-20120016555-A |
titleOfInvention | A method for detecting adverse drug reaction based on case-control analysis using electronic medical record |
abstract | A patient-control based drug side effect detection method using an electronic medical record of the present invention comprises: extracting a case group and a control candidate from an electronic medical record (EMR) database; the case group and general characteristics from the control candidate. Selecting a control group that is not statistically different; Determining a representative post-administration value (PostLab) among the test results of the case group patients and a representative non-administration value (NoLab) among the test results of the control patients; And determining whether or not side effects of the drug are performed through statistical verification of the representative value (PostLab) and the drug non-administration representative value (NoLab) after the drug administration. Therefore, according to the present invention, a representative case group and a control group can be extracted using an existing EMR database accumulated without expert intervention, and various side effects of various drugs can be detected. In particular, as the EMR database accumulates, the accuracy of the results increases, and by providing various statistical outputs, it may help the user to make further judgments. In particular, it is possible to perform statistical processing objectively and quickly to quickly and accurately verify various side effects for a significant number of drugs compared to conventional spontaneous reporting methods and data mining techniques. |
priorityDate | 2010-08-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419588607 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID137319715 |
Total number of triples: 17.