Invention Grant
- Patent Title: System and method for data mining very large drugs and clinical effects databases
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Application No.: US15541435Application Date: 2016-01-05
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Publication No.: US10769242B2Publication Date: 2020-09-08
- Inventor: Bruce Aronow , Mayur Sarangdhar , Scott Carl Tabar , Anil Goud Jegga
- Applicant: Cincinnati Children's Hospital Medical Center
- Applicant Address: US OH Cincinnati
- Assignee: CHILDREN'S HOSPITAL MEDICAL CENTER
- Current Assignee: CHILDREN'S HOSPITAL MEDICAL CENTER
- Current Assignee Address: US OH Cincinnati
- Agency: BakerHostetler
- International Application: PCT/US2016/012208 WO 20160105
- International Announcement: WO2016/112025 WO 20160714
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F19/00 ; G06F16/2458 ; G06Q50/22 ; G16H10/60

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.
Public/Granted literature
- US20180004902A1 System and Method for Data Mining Very Large Drugs and Clinical Effects Databases Public/Granted day:2018-01-04
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