A logic-based calculus of events
New Generation Computing
LifeLines: visualizing personal histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Temporal granularity for unanchored temporal data
Proceedings of the seventh international conference on Information and knowledge management
Handling temporal grouping and pattern-matching queries in a temporal object model
Proceedings of the seventh international conference on Information and knowledge management
Temporal Granularity: Completing the Puzzle
Journal of Intelligent Information Systems
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
Solving multi-granularity temporal constraint networks
Artificial Intelligence
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
IEEE Transactions on Knowledge and Data Engineering
Formalizing visual interaction with historical databases
Information Systems
Visualizing queries on databases of temporal histories: new metaphors and their evaluation
Data & Knowledge Engineering - Special issue: Temporal representation and reasoning
Data Models with Multiple Temporal Dimensions: Completing the Picture
CAiSE '01 Proceedings of the 13th International Conference on Advanced Information Systems Engineering
Calendars, Time Granularities, and Automata
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases
Efficient Algorithms for Large-Scale Temporal Aggregation
IEEE Transactions on Knowledge and Data Engineering
GCH-OSQL: a temporally-oriented object-oriented query language based on a three-valued logic
TIME '97 Proceedings of the 4th International Workshop on Temporal Representation and Reasoning (TIME '97)
Dynamic query tools for time series data sets: timebox widgets for interactive exploration
Information Visualization
Mapping Calendar Expressions into Periodical Granularities
TIME '04 Proceedings of the 11th International Symposium on Temporal Representation and Reasoning
An intelligent, interactive tool for exploration and visualization of time-oriented security data
Proceedings of the 3rd international workshop on Visualization for computer security
Evaluation Methods in Biomedical Informatics (Health Informatics)
Evaluation Methods in Biomedical Informatics (Health Informatics)
Artificial Intelligence in Medicine
Journal of Intelligent Information Systems
Data mining with Temporal Abstractions: learning rules from time series
Data Mining and Knowledge Discovery
Visual Methods for Analyzing Time-Oriented Data
IEEE Transactions on Visualization and Computer Graphics
The t4sql temporal query language
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Aligning temporal data by sentinel events: discovering patterns in electronic health records
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation of an architecture for intelligent query and exploration of time-oriented clinical data
Artificial Intelligence in Medicine
Incremental application of knowledge to continuously arriving time-oriented data
Journal of Intelligent Information Systems
A framework for distributed mediation of temporal-abstraction queries to clinical databases
Artificial Intelligence in Medicine
Intelligent selection and retrieval of multiple time-oriented records
Journal of Intelligent Information Systems
IEEE Transactions on Information Technology in Biomedicine
Information visualization and its application to medicine
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Visualization and interactive analysis of blood parameters with InfoZoom
Artificial Intelligence in Medicine
LifeFlow: visualizing an overview of event sequences
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A rule-based method for specifying and querying temporal abstractions
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Visually defining and querying consistent multi-granular clinical temporal abstractions
Artificial Intelligence in Medicine
Visual exploration of time-oriented patient data for chronic diseases: design study and evaluation
USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
Querying event sequences by exact match or similarity search: Design and empirical evaluation
Interacting with Computers
User-centered visual analysis using a hybrid reasoning architecture for intensive care units
Decision Support Systems
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
MedTime: A temporal information extraction system for clinical narratives
Journal of Biomedical Informatics
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Objective: Clinicians and medical researchers alike require useful, intuitive, and intelligent tools to process large amounts of time-oriented multiple-patient data from multiple sources. For analyzing the results of clinical trials or for quality assessment purposes, an aggregated view of a group of patients is often required. To meet this need, we designed and developed the VISualizatIon of Time-Oriented RecordS (VISITORS) system, which combines intelligent temporal analysis and information visualization techniques. The VISITORS system includes tools for intelligent retrieval, visualization, exploration, and analysis of raw time-oriented data and derived (abstracted) concepts for multiple patient records. To derive meaningful interpretations from raw time-oriented data (known as temporal abstractions), we used the knowledge-based temporal-abstraction method. Methods: The main module of the VISITORS system is an interactive, ontology-based exploration module, which enables the user to visualize raw data and abstract (derived) concepts for multiple patient records, at several levels of temporal granularity; to explore these concepts; and to display associations among raw and abstract concepts. A knowledge-based delegate function is used to convert multiple data points into one delegate value representing each temporal granule. To select the population of patients to explore, the VISITORS system includes an ontology-based temporal-aggregation specification language and a graphical expression-specification module. The expressions, applied by an external temporal mediator, retrieve a list of patients, a list of relevant time intervals, and a list of time-oriented patients' data sets, by using an expressive set of time and value constraints. Results: Functionality and usability evaluation of the interactive exploration module was performed on a database of more than 1000 oncology patients by a group of 10 users-five clinicians and five medical informaticians. Both types of users were able in a short time (mean of 2.5+/-0.2min per question) to answer a set of clinical questions, including questions that require the use of specialized operators for finding associations among derived temporal abstractions, with high accuracy (mean of 98.7+/-2.4 on a predefined scale from 0 to 100). There were no significant differences between the response times and between accuracy levels of the exploration of the data using different time lines, i.e., absolute (i.e., calendrical) versus relative (referring to some clinical key event). A system usability scale (SUS) questionnaire filled out by the users demonstrated the VISITORS system to be usable (mean score for the overall group: 69.3), but the clinicians' usability assessment was significantly lower than that of the medical informaticians. Conclusions: We conclude that intelligent visualization and exploration of longitudinal data of multiple patients with the VISITORS system is feasible, functional, and usable.