Unsupervised learning and prediction of lines of therapy from high-dimensional longitudinal medications data
US11295841B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 24, 2020 |
| Grant date | Apr 5, 2022 |
| Priority date | — |
| Expiry date | Aug 24, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/10
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
In one aspect, the present disclosure provides a method for labeling one or more medications concurrently administered to a patient as a line of therapy. The method includes identifying medical records of the patient from a plurality of digital records, creating, from the subset of medical records, a plurality of treatment intervals including at least one medication administered to the patient and a time interval, associating medications of the one or more treatments with a respective treatment interval when the administration of the medication falls within the time interval, refining the time interval of a respective treatment interval when a treatment of the one or more treatments falls outside the time interval but within an extension period, identifying one or more potential lines of therapy from the plurality of treatment intervals, and labeling the potential line of therapy having the highest maximum likelihood estimation as the line of therapy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.