| Shahar, Y., Timing is everything: Temporal Reasoning and Temporal Data Maintenance in Medicine, Lecture Notes In Artificial Intelligence 1620, W. Horn, Y. Shahar, G. Lindberg, S. Andreassen, J. Wyatt eds, pp. 30-46, 1999. |
....details) 2. Feature structuring. After step one, from the raw data we obtain a large number of data analysis results, that can be used as features for learning about the patients behaviour. The first way to reach this goal is to show with proper visualisation techniques the results to physicians [Shahar, 1999]. Another effective way is to produce text summaries, that report the results obtained and some conclusions in textual form (e.g. the patient had an unstable BGL control from day x to day y with an increasing trend, absence of relevant cycles and a suspected Somogy effect at day z ) A third ....
Shahar, Y., Timing is everything: Temporal Reasoning and Temporal Data Maintenance in Medicine, Lecture Notes In Artificial Intelligence 1620, W. Horn, Y. Shahar, G. Lindberg, S. Andreassen, J. Wyatt eds, pp. 30-46, 1999.
.... an interesting approach to the analysis and interpretation of this kind of data is given by an AI based technique, called Temporal Abstractions (TAs) which provides a useful and flexible method for obtaining an abstract description of multi dimensional time series [Shahar, 1996, Shahar, 1997, Shahar 1999, Horn 1997, Larizza, 1997] The usefulness of these methods has been proved in many medical contexts, from the long term monitoring of infectious complications in heart transplanted patients [Larizza, 1992] to the analysis of ICU data [Horn, 1997] and finally to the management of home ....
Shahar, Y., Timing is everything: Temporal Reasoning and Temporal Data Maintenance in Medicine, Lecture Notes In Artificial Intelligence 1620, W. Horn, Y. Shahar, G. Lindberg, S. Andreassen, J. Wyatt eds, pp. 30-46, 1999.
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