Abstract：
BACKGROUND:Predicting insulin-induced postprandial hypoglycemic events is critical for the safety of type 1 diabetes patients because an early warning of hypoglycemia facilitates correction of the insulin bolus before its administration. The postprandial hypoglycemic event counts can be lowered by reducing the size of the bolus based on a reliable prediction but at the cost of increasing the average blood glucose. METHODS:We developed a method for predicting postprandial hypoglycemia using machine learning techniques personalized to each patient. The proposed system enables on-line therapeutic decision making for patients using a sensor augmented pump therapy. Two risk-based approaches were developed for a window of 240 min after the meal/bolus, and they were tested based on real retrospective data from 10 patients using 70 mg/dL and 54 mg/dL as thresholds according to the consensus for Level 1 and Level 2 hypoglycemia, respectively. Due to the small size of the patient cohort, we trained personalized models for each patient. RESULTS:The median specificity and sensitivity were 79% and 71% for Level 1 hypoglycemia, respectively, and 81% and 77% for Level 2. CONCLUSIONS:The results demonstrated that it is feasible to anticipate hypoglycemic events with a reasonable false-positive rate. The accuracy of the results and the trade-off between performance metrics allow its use in decision support systems for patients who wear insulin pumps.
journal_name
Int J Med Informjournal_title
International journal of medical informaticsauthors
Oviedo S,Contreras I,Quirós C,Giménez M,Conget I,Vehi Jdoi
10.1016/j.ijmedinf.2019.03.008subject
Has Abstractpub_date
2019-06-01 00:00:00pages
1-8eissn
1386-5056issn
1872-8243pii
S1386-5056(18)30497-0journal_volume
126pub_type
杂志文章abstract：:The introduction of computer-based information systems (ISs) in public health provides enhanced possibilities for service improvements and hence also for improvement of the population's health. Not least, new communication systems can help in the socialization and integration process needed between the different profe...
journal_title：International journal of medical informatics
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journal_title：International journal of medical informatics
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abstract：BACKGROUND AND OBJECTIVES:Previous reviews have expressed concerns about the quality of telemedicine studies. There is debate about shortcomings and appropriate methodologies. The aim of this review of systematic reviews of telemedicine is to summarize methodologies used in telemedicine research, discuss knowledge gaps...
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journal_title：International journal of medical informatics
pub_type： 杂志文章
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journal_title：International journal of medical informatics
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