| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_9f7114d4f4d5fdb77e25da83eef9454b |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H70-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-2465
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F19-322
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-30539
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F19-326 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H70-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-60 |
| filingDate |
2016-01-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3d08e8f693a14cb207cd8cdb64007a0e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_065f1e9e7518142fb71c71ed12490a42
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_beeba5f43f658d80a5f1d45c9a4e67bc
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fce1e594ff4249e6c7d78c9e9ae525bb |
| publicationDate |
2018-01-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2018004902-A1 |
| titleOfInvention |
System and Method for Data Mining Very Large Drugs and Clinical Effects Databases |
| abstract |
A current system allows data-driven hypothesis generation to identify therapeutic candidates for a disease phenotype treatment by identifying drugs and clinical indications associated with lower occurrences of disease-associated phenotype(s) by a drug/drug class. A current system may include a pharmaceutical hierarchical ontology; a phenotype hierarchical ontology; a record database comprising clinical event records; a database mining engine; and a mapping engine. The database mining engine may iteratively progress through a portion of the pharmacological hierarchical ontology and phenotype hierarchical ontology to iteratively select pairs of cohort entries from each ontology; and for each pair of cohort entries, query the clinical record database for matching records. The mapping engine may map each pair of cohort entries into a matrix comprising a drug-event cell for each pair and apply a value thereto representing the number of database records matching items returned by the database mining engine for the corresponding cohort entries. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10957435-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022261515-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110211646-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11211169-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11120913-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11120914-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114300159-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11164678-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2019228864-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115019976-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021020291-A1 |
| priorityDate |
2015-01-05-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |