Computer
The visual display of quantitative information
The visual display of quantitative information
Temporal databases status and research directions
ACM SIGMOD Record - Directions for future database research & development
Maintaining knowledge about temporal intervals
Communications of the ACM
Structured organization of clinical data bases
AFIPS '75 Proceedings of the May 19-22, 1975, national computer conference and exposition
Abstraction by time-scale in qualitative simulation
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
Artificial Intelligence in Medicine
Journal of Biomedical Informatics
CareVis: Integrated visualization of computerized protocols and temporal patient data
Artificial Intelligence in Medicine
Visually defining and querying consistent multi-granular clinical temporal abstractions
Artificial Intelligence in Medicine
V-model: a new innovative model to chronologically visualize narrative clinical texts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information visualization and its application to medicine
Artificial Intelligence in Medicine
Metaphors of movement: a visualization and user interface for time-oriented, skeletal plans
Artificial Intelligence in Medicine
User-centered visual analysis using a hybrid reasoning architecture for intensive care units
Decision Support Systems
Hi-index | 0.00 |
The detection of temporal relationships among time-ordered patient data is an important, but difficult, clinical task. Large volumes of computer-stored clinical data offer the possibility of aiding in the early detection of subtle trends and states, but the presence of irrelevant data can obscure relevant findings and relationships. We present a formal system for representing complex temporal data as events on an abstract entity called a time line. We define five time line operations, SLICE, FILTER, OVERLAY, NEW, and ADD. For each operation, we precisely define the operator's effect on a time line, including exceptions and boundary conditions. In addition to our time line formalism, we describe an interactive environment designed specifically to help humans visualize temporal data. We have developed a database kernel and a graphical user interface that used our time line formalism and operations to support temporal manipulations. Using our formal system and our visualization environment, we describe two issues in the display and manipulation of temporal data: 1.1. the temporal granularity problem, and 2.2. the calendar mapping problem.