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  1. No Access

    Chapter and Conference Paper

    An Ontology-Based Method to Link Database Integration and Data Mining within a Biomedical Distributed KDD

    Over the last years, collaborative research has been continuously growing in many scientific areas such as biomedicine. However, traditional Knowledge Discovery in Databases (KDD) processes generally adopt cen...

    David Perez-Rey, Victor Maojo in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    Online Prediction of Ovarian Cancer

    In this paper we apply computer learning methods to the diagnosis of ovarian cancer using the level of the standard biomarker CA125 in conjunction with information provided by mass spectrometry. Our algorithm ...

    Fedor Zhdanov, Vladimir Vovk, Brian Burford in Artificial Intelligence in Medicine (2009)

  3. No Access

    Chapter and Conference Paper

    Modeling Clinical Guidelines through Petri Nets

    Clinical guidelines (GLs) play an important role to standardize and organize clinical processes according to evidence-based medicine. Several computer-based GL representation languages have been defined, usual...

    Marco Beccuti, Alessio Bottrighi in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    Feasibility of Case-Based Beam Generation for Robotic Radiosurgery

    Robotic radiosurgery uses the kinematic flexibility of a robotic arm to target tumors and lesions from many different directions. This approach allows to focus the dose to the target region while sparing healt...

    Alexander Schlaefer, Sonja Dieterich in Artificial Intelligence in Medicine (2009)

  5. No Access

    Chapter and Conference Paper

    Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment

    The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhanced MRI (DCE-MRI) data. Tumour heteroge...

    Alessandro Daducci, Umberto Castellani in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    Histopathology Image Classification Using Bag of Features and Kernel Functions

    Image representation is an important issue for medical image analysis, classification and retrieval. Recently, the bag of features approach has been proposed to classify natural scenes, using an analogy in whi...

    Juan C. Caicedo, Angel Cruz, Fabio A. Gonzalez in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    Implementing a Clinical Decision Support System for Glucose Control for the Intensive Cardiac Care

    Adherence to guidelines and protocols in clinical practice can be difficult to achieve. We describe the implementation of a Clinical Decision Support System (CDSS) for glucose control on the Intensive Cardiac ...

    Rogier Barendse, Jonathan Lipton in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    Causal Probabilistic Modelling for Two-View Mammographic Analysis

    Mammographic analysis is a difficult task due to the complexity of image interpretation. This results in diagnostic uncertainty, thus provoking the need for assistance by computer decision-making tools. Probab...

    Marina Velikova, Maurice Samulski, Peter J. F. Lucas in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    On Quality of Different Annotation Sources for Gene Expression Analysis

    Mining of biomedical data increasingly relies on utility of knowledge repositories. In gene expression analysis, these are often used for gene labeling with an assumption that similarly annotated genes have si...

    Francesca Mulas, Tomaz Curk, Riccardo Bellazzi in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach

    Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scans in order to provide a radia...

    Aliaksei Kerhet, Cormac Small, Harvey Quon in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing

    Healthcare decision making demands the systematic integration of knowledge from multiple sources, such as clinical guidelines, clinical pathways, knowledge of practitioners and so on. We present a semantic web...

    Sajjad Hussain, Syed Sibte Raza Abidi in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    Data-Efficient Information-Theoretic Test Selection

    We use the concept of conditional mutual information (MI) to approach problems involving the selection of variables in the area of medical diagnosis. Computing MI requires estimates of joint distributions over...

    Marianne Mueller, Rómer Rosales, Harald Steck in Artificial Intelligence in Medicine (2009)

  13. No Access

    Chapter and Conference Paper

    A Mutual Information Approach to Data Integration for Alzheimer’s Disease Patients

    Clinical data alignment plays a critical role in identifying important features for significant experiments. A central problem is data fusion i.e., how to correctly integrate data provided by different labs. T...

    Italo Zoppis, Erica Gianazza, Clizia Chinello in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    A Mobile Clinical Decision Support System for Clubfoot Treatment

    In current congenital clubfoot treatment, clinicians use paper forms to register and monitor the treatment process. Routines for registration and archiving are scarce, and the guideline for treating clubfoot i...

    Weiqin Chen, Dag Skjelvik in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    An Advanced Platform for Managing Complications of Chronic Diseases

    This paper describes a generic platform for telemedicine services aimed at supporting chronic outpatients. The framework comprises a server agent and several cell phones as mobile agents through which patients...

    Davide Capozzi, Giordano Lanzola in Artificial Intelligence in Medicine (2009)

  16. No Access

    Chapter and Conference Paper

    Detecting Intuitive Mentions of Diseases in Narrative Clinical Text

    A significant portion of the clinical information content of narrative text documents in the medical record is only mentioned intuitively, but automated information extraction systems typically focus on explic...

    Stéphane M. Meystre in Artificial Intelligence in Medicine (2009)

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    Chapter and Conference Paper

    A Novel Multilingual Report Generation System for Medical Applications

    There has been an increasing demand for high quality medical data that are in a standard electronic format and easily shared. Although a great amount of effort has been invested to ease the process, an effecti...

    Kaya Kuru, Sertan Girgin, Kemal Arda in Artificial Intelligence in Medicine (2009)

  18. No Access

    Chapter and Conference Paper

    An Ontology for the Care of the Elder at Home

    The health-care of the elder at home is highly demanded in modern societies. It is based on the difficult task of coordinating multiple professionals and procedures acting on the same patient. K4CARE is a proj...

    David Riaño, Francis Real, Fabio Campana in Artificial Intelligence in Medicine (2009)

  19. No Access

    Chapter and Conference Paper

    HomeNL: Homecare Assistance in Natural Language. An Intelligent Conversational Agent for Hypertensive Patients Management

    The prospective home-care management will probably offer intelligent conversational assistants for supporting patients at home through natural language interfaces. Homecare assistance in natural language, Home...

    Lina Maria Rojas-Barahona, Silvana Quaglini in Artificial Intelligence in Medicine (2009)

  20. No Access

    Chapter and Conference Paper

    Multiple Terminologies in a Health Portal: Automatic Indexing and Information Retrieval

    Background: In the specific context of develo** quality-controlled health gateways, several standards must be respected (e.g. Dublin Core for metadata element set; thesaurus MeSH as the controlled vocabulary...

    Stéfan J. Darmoni, Suzanne Pereira, Saoussen Sakji in Artificial Intelligence in Medicine (2009)

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