Querying Clinical Workflows by Temporal Similarity

Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes

“…Some papers deal with general topics that can be characterized as software-engineering oriented, as the use of design patterns in process design, the support of authoring and versioning, the issue of quality checking, the design and implementation of run time engines, the verification and data/flow aspects and workflow and process aspects [53,54]. Other papers have integrated with guidelines other AI techniques, such as natural language processing, information extraction, ontologies and semantic-web frameworks [55][56][57][58].…”

“…Over the last decade, time-related topics have become wider, including new research themes as temporal data analysis, temporal data mining, temporal patterns, temporal data modeling, Bayesian dynamic networks, and clinical workflows [54,[76][77][78]. Temporal data mining has continued to receive attention together with temporal constraints and temporal knowledge retrieval [79][80][81].…”

Developing a labelled object-relational constraint database architecture for the projection operator

“…The applications in which the information can be represented by constraints are very common in engineering and industrial activities, for example in CAD/CAM (computer-aided design and manufacturing) [53], GIS (geographic information systems) [48], scientific data [24], and medical data [14], among others. In these cases, there is a great quantity of data that cannot be stored in an extensional way because infinite tuples of values would be produced.…”