Remo Mueller

  • Citations Per Year
Learn More
We present the design and implementation of VISAGE (VISual AGgregator and Explorer), a query interface for clinical research. We follow a user-centered development approach and incorporate visual, ontological, searchable and explorative features in three interrelated components: Query Builder, Query Manager and Query Explorer. The Query Explorer provides(More)
This paper presents a novel software engineering approach for developing a dynamic web interface that meets the quality criterion of "WYDIWYS" - What You Do Is What You See. This approach establishes an engineering procedure for applying Formal Concept Analysis (FCA) [3] in user requirement analysis, system design and implementation. The FCA lattice(More)
ABSTRACT Professional sleep societies have identified a need for strategic research in multiple areas that may benefit from access to and aggregation of large, multidimensional datasets. Technological advances provide opportunities to extract and analyze physiological signals and other biomedical information from datasets of unprecedented size,(More)
The domain of hemato-oncology is characterized by a complex and data-intensive treatment and the involvement of geographically distributed institutions (e.g. oncological ward, central commission, external panels) in the context of protocol-directed trials. Current research efforts in this domain (e.g. [1-3]) focus on specialized subtasks such as(More)
We present a scalable architecture called X-MIMI for the propagation of MIMI (Multi-modality, Multi-resource, Informatics Infrastructure System) to the biomedical research community. MIMI is a web-based system for managing the latest instruments and resources used by clinical and translational investigators. To deploy MIMI broadly, X-MIMI utilizes a(More)
The secondary use of clinical data is an essential part of translational and comparative effectiveness research. In designing user interfaces for querying clinical data, we found challenges in managing disease classification codes, medication history, and computed indices, which were amplified by the longitudinal nature of clinical care. In order to address(More)
A patient’s data collected during complex diagnostic decision making and long-term treatment in oncology do not simply form a chronology of events, but build up a network of various relationships between numerous units of information. Such data contexts include causal or temporal relationships, they express diagnostic inconsistencies and revision processes(More)
  • 1