170,783 research outputs found
Extending the Event Calculus with Temporal Granularity and Indeterminacy*
In many real-world applications, temporal information is often imprecise about the temporal location of events (indeterminacy) and comes at different granularities (Dyreson and Snodgrass 1995). Temporal granularity and indeterminacy are thus emerging as crucial requirements for the advancement of intelligent information systems which have to store, manage, and reason about temporal data. Consider, for example, these events taken from the application-a temporal database for cardiological patients- we are considering in our research (Combi and Chittaro 1999): '‘between 2 p.m. and 4 p.m. on May 5, 1996, the patient suffered from a myocardial infarction’', '‘he started the therapy with thrombolytics in July 1995'', '‘on October 12, 1996, he had a follow-up visit’'. The three events happened at the hours, months, and days timelines, respectively
On the semantics of ST4SQL, a multidimensional spatio-temporal query language
Pozzani and Combi proposed ST4SQL, an SQL-based query language extending SQL with new constructs for querying spatio-temporal data. In particular, ST4SQL deals with different temporal and spatial semantics, allowing one to specify how the system has to manage temporal and spatial dimensions for evaluating queries. Moreover, the query language introduces new constructs for grouping data with respect to temporal and spatial dimensions. All proposed constructs take into account data qualified with granularities. In this paper we briefly present ST4SQL and we present, also through some examples, its semantics with respect to the standard SQL one
Analysis of ceiling effects occurring with speech recognition tests in adult cochlear-implanted patients
This article presents a simple method of analysing speech test scores which are biased through ceiling effects. Eighty postlingually deafened adults implanted with a MED-EL COMBI 40/40+ cochlear implant (CI) were administered a numbers test and a sentence test at initial device activation and at 1, 3, 6, 12 and 24 months thereafter. As a measure for speech recognition performance, the number of patients who scored at the `ceiling level' (i.e. at least 95% correct answers) was counted at each test interval. Results showed a quick increase in this number soon after device activation as well as a continuous improvement over time ( numbers test: 1 month: 51%; 6 months: 73%; 24 months: 88%; sentence test: 1 month: 33%; 6 months: 49%; 24 months: 64%). The new method allows for the detection of speech recognition progress in CI patient samples even at late test intervals, where improvement curves based on averaged scores are usually assuming a flat shape. Copyright (C) 2004 S. Karger AG, Basel
Guest Editors' Introduction to the special issue on Time-Oriented Systems in Medicine. In: COMBI, C., SHAHAR, Y. (eds.) Time-Oriented Systems in Medicine. Special Issue
Temporal Reasoning and Temporal Data Maintenance in Medicine: Issues and Challenges. In: COMBI, C., SHAHAR, Y. (eds.) Time-Oriented Systems in Medicine. Special Issue
Clinical Information Systems and Artificial Intelligence: Recent Research Trends
This survey aims at reviewing the literature related to Clinical Information Systems (CIS), Hospital Information Systems (HIS), Electronic Health Record (EHR) systems, and how collected data can be analyzed by Artificial Intelligence (AI) techniques
Temporal representation and reasoning in medicine
Temporal representation and reasoning is a very challenging research topic in several areas of computer science: among them, we mention here databases, artificial intelligence, theoretical computer science, computational linguistics, real time systems, and medical informatics.
The scientific interest for temporal representation and reasoning is confirmed by a solid tradition of international events, as conferences and workshops, hosting new research on these arguments. Moreover, in the last decade there have been several specific events on the topic, which attracted specialized people sharing their results. Among these events, the TIME Symposium is emerging as the annual event where people from different areas of computer science discuss on time related issues; since 1996 TIME proceedings have been published by IEEE Computer Society. Several special issues of well known scientific journals in the last decade confirm that the interest of the scientific community for the considered topic is stable and sound, even though time and related issues are not a topic suddenly attracting huge quantities of research scientists
Architectures for a Temporal Workflow Management System
Workflows describe business processes as the coordinated execution of simple activities (tasks) by human or automatic executors (agents). Workflow management systems (WfMS) are software systems supporting the automatic execution of workflows. Most WfMSs rely on database management systems (DBMS) where temporal aspects, which are relevant for the execution of a workflow, are managed explicitly. In this paper we discuss different architectures for a temporal WfMS: then we propose yet another workflow system which novelly manages temporal aspects via a temporal database system, composed by a temporal layer on top of a relational DBMS (Oracle).
The adoption of a temporal database system both benefitted the development of the engine and increased its efficiency by allowing some additional features, as the management of process model evolution and the selection of executing agents via a workload balance over time
- …
