25-04-2013 дата публикации
Номер: US20130102867A1
Disclosed are methods, apparatuses, etc. for determination and application of a metric for assessing a patient's glycemic health. In one particular implementation, a computed metric may be used to balance short-term and long-term risks associated with a particular therapy. 1. A method comprising:at a special purpose computing apparatus, computing a profile of a blood glucose concentration of a patient based, at least in part, on observations of said blood glucose concentration collected at a blood glucose monitoring device, said profile comprising at least a computed mean blood glucose concentration and an indication of a statistical dispersion;applying a cost or loss function to said computed profile to compute a metric representative of a glycemic health of the patient, said cost or loss function being based, at least in part, on an application of a log-square operation to at least one of the computed mean or said indication of said statistical dispersion; andaffecting a therapy applied to said patient based, at least in part, on said computed metric.2. The method of claim 1 , wherein said indication of said statistical dispersion comprises a standard deviation.3. The method of claim 1 , wherein said metric comprises a unidimensional metric.4. The method of claim 1 , wherein affecting said therapy comprises setting a target blood glucose level or target blood glucose range of said patient based claim 1 , at least in part claim 1 , on said computed metric.5. The method of claim 1 , wherein said loss or cost function is further based claim 1 , at least in part claim 1 , on application of a log-square function to a target blood glucose concentration value.6. The method of claim 5 , wherein said metric substantially has the form:{'br': None, 'i': G', 'G, 'sub': T', '10', '10', 'T, 'sup': 2', '2, 'Loss()=log(σ)+[log 10(μ)−log()], where{'sub': 'T', 'Gis the target blood glucose concentration value;'}μ is the computed mean; andσ is the measure of the statistical ...
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