The main goal of this work is to propose a framework for the visual specification and query of consistent multi-granular clinical temporal abstractions. We focus on the issue of querying patient clinical information by visually defining and composing temporal abstractions, i.e., high level patterns derived from several time-stamped raw data. In particular, we focus on the visual specification of consistent temporal abstractions with different granularities and on the visual composition of different temporal abstractions for querying clinical databases
Temporal abstraction (TA) provides the means to instil domain knowledge into data analysis processes...
Abstract: KNAVE-II is a system for visualization and exploration of large amounts of time-oriented c...
In epidemiology spatio-temporal data may represent surveillance data and origins of diseases. In ord...
Objective: Intelligent clinical data analysis systems require precise qualitative descriptions of da...
The detection of temporal relationships among time-ordered patient data is an important, but difficu...
AbstractThis paper focuses on the identification of temporal trends involving different granularitie...
This paper focuses on the identification of temporal trends involving different granularities in cli...
Abstract — Physicians and medical decision-support applications, such as for diagnosis, therapy, mon...
Physicians and medical decision-support applications, such as for diagnosis, therapy, monitoring, qu...
International audiencePharmacoepidemiology with medico-administrative databases enables to study imp...
Abstract. Time series retrieval is a critical issue in all domains in which the observed phenomenon ...
This paper presents emerging trends in the area of temporal abstraction and data mining, as applied ...
This paper addresses the issue of visual query formulation for temporal databases. We introduce a nu...
This dissertation details a framework for providing knowledge-based temporal reasoning and data anal...
In the field of databases, time management at different levels of granularity has been an issue for ...
Temporal abstraction (TA) provides the means to instil domain knowledge into data analysis processes...
Abstract: KNAVE-II is a system for visualization and exploration of large amounts of time-oriented c...
In epidemiology spatio-temporal data may represent surveillance data and origins of diseases. In ord...
Objective: Intelligent clinical data analysis systems require precise qualitative descriptions of da...
The detection of temporal relationships among time-ordered patient data is an important, but difficu...
AbstractThis paper focuses on the identification of temporal trends involving different granularitie...
This paper focuses on the identification of temporal trends involving different granularities in cli...
Abstract — Physicians and medical decision-support applications, such as for diagnosis, therapy, mon...
Physicians and medical decision-support applications, such as for diagnosis, therapy, monitoring, qu...
International audiencePharmacoepidemiology with medico-administrative databases enables to study imp...
Abstract. Time series retrieval is a critical issue in all domains in which the observed phenomenon ...
This paper presents emerging trends in the area of temporal abstraction and data mining, as applied ...
This paper addresses the issue of visual query formulation for temporal databases. We introduce a nu...
This dissertation details a framework for providing knowledge-based temporal reasoning and data anal...
In the field of databases, time management at different levels of granularity has been an issue for ...
Temporal abstraction (TA) provides the means to instil domain knowledge into data analysis processes...
Abstract: KNAVE-II is a system for visualization and exploration of large amounts of time-oriented c...
In epidemiology spatio-temporal data may represent surveillance data and origins of diseases. In ord...