1,721,091 research outputs found
A decision support system for Evidence Based Medicine
No full textWe present a decision support system to let medical doctors analyze important clinical data, like patients medical history, diagnosis, or therapy, in order to detect common patterns of
knowledge useful in the diagnosis process. The underlying approach mainly exploits casebased
reasoning (CBR), which is useful to extract knowledge from previously experienced cases. In particular, we used sequence data mining to detect common patterns in patients histories and to highlight the effects of medical practices, based on evidence. We also exploited data warehousing techniques, such OLAP queries to let medical doctor analyze diagnosis along several measures, and recent visual data integration approaches and tools to effectively support the complex task of integrating and reconciling data from different medical data sources. In addition, due to massive presence of textual information within the clinical records of many hospitals, text mining techniques have been devised. In particular, we performed lexical analysis of free text in order to extract discriminatory terms and to derive encoded information. Finally, the system provides user friendly mechanisms to manage the protection of confidential medical data. System validation has been performed, mainly focusing on usability issues, by running experiments based on a large database from a primary public hospital
Decision support system for evidence based medicine
Full text linkWe present a decision support system to let medical doctors analyze important clinical data, like patients medical history, diagnosis, or therapy, in order to detect patterns of knowledge useful in the diagnosis process
Visual Computer-Managed Security: A Framework to Support the Development of Access Control in Enterprise Applications
No full textWe present a framework to assist programmers in the coding
of access control aspects in Java applications. It provides a transparent way of managing security aspects in enterprise level applications, including legacy ones. It has been embedded within the open source Integrated Development Environment Eclipse, and it has been used experimentally on several case studies, one of which is described in this paper
The ENVISION Project: Towards a Visual Tool to Support Schema Evolution in Distributed Databases
No full textChanges to the schema of databases naturally and frequently
occur during the life cycle of information systems;
supporting their management, in the context of distributed
databases, requires tools to perform changes easily and to
propagate them efficiently to the database instances. In
this paper we illustrate ENVISION, a project aiming to
develop a Visual Tool for Schema Evolution in Distributed
Databases to support the database administrator during the
schema evolution process. The first stage of this project concerned
the design of an instance update language, allowing
to perform schema changes in a parallel way [14]; in this
paper we deal with further steps toward the complete realization
of the project: the choice of a declarative schema
update language and the realization of the mechanism for
the automatic generation of instance update routines. The
architecture of the system, which has been implementing, is
also designed
Towards a theory of normalization for multimedia databases
No full textWe present a theory of normalization for multimedia databases. We introduce new types of functional dependencies between different types of media data. Thus, the definition of functional dependency is based upon a specific technology used to detect semantic relationships between complex data types, which need to be compared through approximate match paradigms
Visualization of (multimedia) dependencies from big data
No full textData dependencies represent one of the key metadata to characterize and profile multimedia and big data sources. With respect to traditional databases, in these new contexts it has been necessary to introduce some approximations in the definition of dependencies. This yields a proliferation of dependencies, which makes it difficult for a user to effectively analyze them. To this end, in this paper we present a technique for ranking and visualizing dependencies holding on big and multimedia data. A qualitative evaluation has highlighted the advantages of the proposed visualization metaphors
Towards Syntax-Aware Editors for Visual Languages
No full textAbstractEditors for visual languages should provide a user-friendly environment supporting end users in the composition of visual sentences in an effective way. Syntax-aware editors are a class of editors that prompt users into writing syntactically correct programs by exploiting information on the visual language syntax. In particular, they do not constrain users to enter only correct syntactic states in a visual sentence. They merely inform the user when visual objects are syntactically correct. This means detecting both syntax and potential semantic errors as early as possible and providing feedback on such errors in a non-intrusive way during editing. As a consequence, error handling strategies are an essential part of such editing style of visual sentences.In this work, we develop a strategy for the construction of syntax-aware visual language editors by integrating incremental subsentence parsers into free-hand editors. The parser combines the LR-based techniques for parsing visual languages with the more general incremental Generalized LR parsing techniques developed for string languages. Such approach has been profitably exploited for introducing a noncorrecting error recovery strategy, and for prompting during the editing the continuation of what the user is drawing
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