http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3893248-A1

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filingDate 2020-04-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_401400fc87993b13604af46c861c80ac
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d90c22325e8636bec4724ae451f7cec5
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publicationDate 2021-10-13-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber EP-3893248-A1
titleOfInvention Method for creating a predictive model for predicting glaucoma risk in a subject, method for determining glaucoma risk in a subject using such predictive model, device for predicting glaucoma risk in a subject, computer program and computer readable medium
abstract The invention relates to a method (100) for creating a predictive model for predicting glaucoma risk in a subject, the method comprising: a step of creating a diagnostic model comprising, for each one of a plurality of subjects: recording (s101a) a 24-hour profile of eyeball parameters; dividing (s102a) the recorded 24-hour profile of eyeball parameters at least into subperiods: an initial subperiod (START TP1); a subperiod preceding assuming a horizontal position for sleep (TP1 - SLEEP); a subperiod following assuming a horizontal position for sleep (SLEEP - TP2); a subperiod preceding assuming a vertical position after sleep (TP2 - WAKE); a subperiod following assuming a vertical position after sleep (WAKE -TP3) and a final subperiod (TP3-END); determining (s103a), in each subperiod, features describing a single subject in the form of at least one aggregating attribute; creating (s104) a record containing the determined features describing a single subject; assigning (s105) a label indicating a diagnosis (diseased/healthy) made by a physician to the created record. Furthermore, the method includes a step of creating a predictive model, based on a set of records created for the plurality of subjects, using supervised machine learning mechanisms based on one or more algorithms selected at least from regression algorithms, decision trees, Bayesian algorithms, ensemble algorithms and support vector-based algorithms.Furthermore, the invention relates to a method for determining glaucoma risk in a subject, the method comprising creating, for a patient to be examined, a record containing the same feature set as the one created in the step (s104) of the method (100) for creating a predictive model and determining an allocation of the subject to a group of diseased or healthy subjects with determined probability using the predictive model created according to the method for creating a predictive model.Furthermore, the invention relates to a device for predicting glaucoma in a subject, comprising means for performing methods according to the invention, and relates to a computer program comprising a program code for performing method steps according to the invention and to a computer readable medium on which the computer program is stored.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116030042-A
priorityDate 2020-04-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 26.