Invention Grant
- Patent Title: Unsupervised learning and prediction of lines of therapy from high-dimensional longitudinal medications data
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Application No.: US17001673Application Date: 2020-08-24
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Publication No.: US11295841B2Publication Date: 2022-04-05
- Inventor: Mathew Barber , Ryan Mork
- Applicant: Tempus Labs, Inc.
- Applicant Address: US IL Chicago
- Assignee: Tempus Labs, Inc.
- Current Assignee: Tempus Labs, Inc.
- Current Assignee Address: US IL Chicago
- Agency: Quarles & Brady LLP
- Main IPC: G16H20/10
- IPC: G16H20/10 ; G16H10/60 ; G06N20/00 ; G06K9/00 ; G16H50/30

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.
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