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Abstract: This paper presents an approach to automatically mine rules in time series data representing physiological parameters in clinical conditions.
This section describes the methodology used for rule. mining in sequential data in order to discover proto-. typical patterns and then qualitative rules. This ...
This paper leverages from rule mining techniques to extract and represent temporal relation of prototypical patterns in clinical data streams to validate ...
This paper presents an approach to automatically mine rules in time series data representing physiological parameters in clinical conditions.
physiological data. In this paper, a method for measuring similarity of rule sets is introduced in order to. validate the uniqueness of rule sets.
This paper presents an approach to automatically mine rules in time series data representing physiological parameters in clinical conditions. The approach is ...
This paper presents an approach to automatically mine rules in time series data representing physiological parameters in clinical conditions.
Descriptive Modelling of Clinical Conditions with Data-driven Rule Mining in Physiological Data. H Banaee, MU Ahmed, A Loutfi. 8th International Conference on ...
Oct 22, 2024 · This paper leverages from rule mining techniques to extract and represent temporal relation of prototypical patterns in clinical data streams.