Artificial Intelligence
TEMPORAL REASONING IN MEDICAL EXPERT SYSTEMS
TEMPORAL REASONING IN MEDICAL EXPERT SYSTEMS
Active trust management for autonomous adaptive survivable systems (ATM's for AAss's)
IWSAS' 2000 Proceedings of the first international workshop on Self-adaptive software
Timing Is Everything: Temporal Reasoning and Temporal Data Maintenance in Medicine
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Prognoses for Multiparametric Time Courses
ISMDA '00 Proceedings of the First International Symposium on Medical Data Analysis
Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Detecting Interesting Exceptions from Medical Test Data with Visual Summarization
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Artificial Intelligence in Medicine
Prototypes for Medical Case-Based Applications
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Exercising qualitative control in autonomous adaptive survivable systems
IWSAS'01 Proceedings of the 2nd international conference on Self-adaptive software: applications
An epistemology for clinically significant trends
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Probabilistic abstraction of uncertain temporal data for multiple subjects
SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
Probabilistic abstraction of multiple longitudinal electronic medical records
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
BPM' 2012 Proceedings of the 2012 international conference on Process Support and Knowledge Representation in Health Care
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We have written a prototype computer program called TrenDx for automated trend detection during process monitoring. The program uses a representation called trend templates that define disorders as typical patterns of relevant variables. These patterns consist of a partially ordered set of temporal intervals with uncertain endpoints. Bound to each temporal interval arc value constraints on real-valued functions of measurable parameters. TrenDx has been used to diagnose trends in growth patterns from examining heights, weights and other parameters of pediatric patients. As TrenDx analyzes successive data points, the program updates its hypotheses about which stage of the growth process each data point belongs to. We present an example of TrenDx reaching temporally plausible diagnoses for an actual patient with delayed growth currently being seen at Boston Children's Hospital.