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- Ekelund, Maria, et al.
(author)
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Lifetime prediction : different strategies by example
- 2009
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In: POLYMER DEGRADATION AND PERFORMANCE. - Washington, DC : American Chemical Society. - 9780841269781 ; , s. 159-169
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Conference paper (peer-reviewed)abstract
- Two different approaches for lifetime prediction are presented. The underlying lifetime limiting processes have been identified in two cases. Mathematical expressions of chemical/physical relevance were used for the lifetime predictions for PE hot-water pipes and cables insulated with plasticized PVC. Accelerated testing, extrapolation and validation of the extrapolation by assessment of the remaining lifetime of objects aged during service conditions for 25 years were successfully applied to cables insulated with chlorosulfonated polyethylene. Polyolefin pipes exposed to chlorinated water showed a very complex deterioration scenario and it was only possible to find a method suitable for predicting the time for the depletion of the stabilizer system.
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- Green, Michael, et al.
(author)
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Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients
- 2008
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In: Proceedings of the ICML/UAI/COLT 2008 Workshop on Machine Learning for Health-Care Applications.
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Conference paper (peer-reviewed)abstract
- Artificial neural networks is one of the most commonly used machine learning algorithms in medical applications. However, they are still not used in practice in the clinics partly due to their lack of explanatory capacity. We compare two case-based explanation methods to two trained physicians on analysis of electrocardiogram (ECG) data from patients with a suspected acute coronary syndrome (ACS). The median overlaps of the top 5 selected features between the two physicians, and a given physician and a method, were initially low. Using a correlation analysis of the features the median overlap increased to values typically in the range 3-4. In conclusion, both our case-based methods generate explanations similar to those of trained expert physicians on the problem of diagnosing ACS from ECG data.
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- Haziri, Donika, et al.
(author)
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Characteristics and severe outcomes of patients presenting to the Emergency Department with dizziness
- 2022
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Conference paper (peer-reviewed)abstract
- Serious outcomes as stroke, arrythmia and death are relatively frequent in patients presenting with dizziness. Within 30 days almost one in five patients re-attended the ED due to dizziness and 2,8% needed ED evaluation due to a fall. Decision support tools to help identify serious conditions and predict preventable falls in ED patients with dizziness are needed.
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