Title:
LOGIC-BASED TYPING OF MULTIPLE SCLEROSIS SUBJECTS BASED ON CODED DATA
Document Type and Number:
WIPO Patent Application WO/2022/240597
Kind Code:
A8
Abstract:
Techniques disclosed herein relate to inferring a type of multiple sclerosis and determining whether to output an alert based on codes detected within noisy assessment data corresponding to a subject. The noisy assessment data includes content originating from a care provider that identifies a characteristic of the subject or of a treatment for the subject, and the subject has been diagnosed with multiple sclerosis. A temporal dynamic or distribution is determined based on instances of the code detection, and a modulation is determined based on the temporal dynamic or the distribution. It is determined whether an alert criterion is satisfied based on whether the modulation is above a threshold so as to represent noise or a predicted transition across types of multiple sclerosis. The inferred type of multiple sclerosis is output. When the alert criterion is satisfied, an alert is output as well.
Inventors:
RIZZO SHEMRA (US)
ZALOCUSKY KELLY (US)
BELENDIUK KATHERINE (US)
BONINE NICOLE (US)
CHIA YIFENG (US)
GAETANO LAURA (CH)
GAN RYAN (US)
GOLDBERG JUMAAH (US)
JIA XIAOMING (US)
ZALOCUSKY KELLY (US)
BELENDIUK KATHERINE (US)
BONINE NICOLE (US)
CHIA YIFENG (US)
GAETANO LAURA (CH)
GAN RYAN (US)
GOLDBERG JUMAAH (US)
JIA XIAOMING (US)
Application Number:
PCT/US2022/027030
Publication Date:
December 07, 2023
Filing Date:
April 29, 2022
Export Citation:
Assignee:
GENENTECH INC (US)
HOFFMANN LA ROCHE (US)
HOFFMANN LA ROCHE (US)
HOFFMANN LA ROCHE (US)
HOFFMANN LA ROCHE (US)
International Classes:
G16H50/20
Attorney, Agent or Firm:
ROTHWELL, Rodney et al. (US)
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