Temporal information is crucial in electronic medical records and biomedical information
systems. Processing temporal information in medical narrative data is a very challenging …

Predictive data mining in clinical medicine deals with learning models to predict patients'
health. The models can be devoted to support clinicians in diagnostic, therapeutic, or …

This book grew out of a Dagstuhl seminar organized by the volume editors in June 1997.
After the seminar, submissions for this book were solicited both from and beyond the group …

OBJECTIVE: Clinicians and medical researchers alike require useful, intuitive, and
intelligent tools to process large amounts of time-oriented multiple-patient data from multiple …

OBJECTIVES: We present KNAVE-II, an intelligent interface to a distributed architecture
specific to the tasks of query, knowledge-based interpretation, summarization, visualization …

We present a brief, nonexhaustive overview of research efforts in designing and develo**
time-oriented systems in medieine. The growing volume of research on time-oriented …

The effective and efficient use of information systems in health care organizations and
services are a vital element of the quality of life world wide. The modeling of time has …

INTRODUCTION: Time is an essential element in medical data and knowledge which is
intrinsically connected with medical reasoning tasks. Many temporal reasoning mechanisms …

OBJECTIVE: The main aim of this paper is to propose and discuss promising directions of
research in the field of temporal representation and reasoning in medicine, taking into …

Time is important in clinical information systems. Representing, maintaining, querying, and
reasoning about time-oriented clinical data is a major theoretical and practical research area …