SYSTEMS AND METHODS FOR ANALYSIS OF INSULIN REGIMEN ADHERENCE DATA
System and methods are disclosed for monitoring adherence to a prescribed insulin regimen for a subject. A data set comprising a plurality of metabolic events the subject engaged is obtained. Each metabolic event comprises a timestamp of the event and a first classification that is one of insulin re...
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| creator | BROCKMEIER, Pete ARADÓTTIR, Tinna, Björk BENGTSSON, Henrik |
| description | System and methods are disclosed for monitoring adherence to a prescribed insulin regimen for a subject. A data set comprising a plurality of metabolic events the subject engaged is obtained. Each metabolic event comprises a timestamp of the event and a first classification that is one of insulin regimen adherent and nonadherent. Each respective metabolic event is then further classified using a second classification, based upon the timestamp of the metabolic event. The second classification has a temporal periodicity represented by a plurality of periodic elements. Metabolic events are binned on the basis of the second classification thereby obtaining a plurality of subsets of the metabolic events, each subset for a different periodic element. For each respective subset, a respective representation of adherence to the insulin regimen is communicated, the representation of adherence being collectively based upon the first classification of metabolic events in the respective subset. |
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A data set comprising a plurality of metabolic events the subject engaged is obtained. Each metabolic event comprises a timestamp of the event and a first classification that is one of insulin regimen adherent and nonadherent. Each respective metabolic event is then further classified using a second classification, based upon the timestamp of the metabolic event. The second classification has a temporal periodicity represented by a plurality of periodic elements. Metabolic events are binned on the basis of the second classification thereby obtaining a plurality of subsets of the metabolic events, each subset for a different periodic element. 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A data set comprising a plurality of metabolic events the subject engaged is obtained. Each metabolic event comprises a timestamp of the event and a first classification that is one of insulin regimen adherent and nonadherent. Each respective metabolic event is then further classified using a second classification, based upon the timestamp of the metabolic event. The second classification has a temporal periodicity represented by a plurality of periodic elements. Metabolic events are binned on the basis of the second classification thereby obtaining a plurality of subsets of the metabolic events, each subset for a different periodic element. 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A data set comprising a plurality of metabolic events the subject engaged is obtained. Each metabolic event comprises a timestamp of the event and a first classification that is one of insulin regimen adherent and nonadherent. Each respective metabolic event is then further classified using a second classification, based upon the timestamp of the metabolic event. The second classification has a temporal periodicity represented by a plurality of periodic elements. Metabolic events are binned on the basis of the second classification thereby obtaining a plurality of subsets of the metabolic events, each subset for a different periodic element. For each respective subset, a respective representation of adherence to the insulin regimen is communicated, the representation of adherence being collectively based upon the first classification of metabolic events in the respective subset.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
| title | SYSTEMS AND METHODS FOR ANALYSIS OF INSULIN REGIMEN ADHERENCE DATA |
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