http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022240597-A1

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filingDate 2022-04-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6ce5bed178be6ff2211b7f5682d24eeb
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publicationDate 2022-11-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber WO-2022240597-A1
titleOfInvention Logic-based typing of multiple sclerosis subjects based on coded data
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.
priorityDate 2021-05-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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