The visual display of quantitative information
The visual display of quantitative information
An international collaboratory based on virtual patient records
Communications of the ACM
Building natural language generation systems
Building natural language generation systems
Generating Personalised Patient Information Using the Medical Record
AIME '95 Proceedings of the 5th Conference on Artificial Intelligence in Medicine in Europe: Artificial Intelligence Medicine
Lessons from a failure: generating tailored smoking cessation letters
Artificial Intelligence
Describing complex charts in natural language: a caption generation system
Computational Linguistics - Special issue on natural language generation
Automatic generation of multimodal weather reports from datasets
ANLC '92 Proceedings of the third conference on Applied natural language processing
International Journal of Human-Computer Studies
The CLEF Chronicle: Patient Histories Derived from Electronic Health Records
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Automatic Generation of Textual Summaries from Neonatal Intensive Care Data
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Summarization from medical documents: a survey
Artificial Intelligence in Medicine
A multimedia interface for facilitating comparisons of opinions
Proceedings of the 14th international conference on Intelligent user interfaces
Louhi '10 Proceedings of the NAACL HLT 2010 Second Louhi Workshop on Text and Data Mining of Health Documents
ARES'11 Proceedings of the IFIP WG 8.4/8.9 international cross domain conference on Availability, reliability and security for business, enterprise and health information systems
V-model: a new innovative model to chronologically visualize narrative clinical texts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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This paper describes a visualisation architecture that integrates graphical devices and natural language in a cooperative system for navigating through complex images of medical histories. We show how the addition of automatically generated natural language can be used to improve the usability of a graphical user interface and conversely how the graphical user interface can be used to specify the content of user customizable medical reports.