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Artificial Intelligence in Medicine

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  1. Multilingual event extraction for epidemic detection

    Artificial Intelligence in Medicine 65(2):131 (2015) PMID 26228941

    Highlights • We present DANIEL, a multilingual system for tele-epidemiology. • Classical approaches use language-dependent resources, which limits covera...
  2. Intelligent healthcare informatics in big data era

    Artificial Intelligence in Medicine 65(2):75 (2015) PMID 26306669

  3. Predicting readmission risk with institution-specific prediction models

    Artificial Intelligence in Medicine 65(2):89 (2015) PMID 26363683

    Objective The ability to predict patient readmission risk is extremely valuable for hospitals, especially under the Hospital Readmission Reduction Program of the Center for Medicare and Medicaid Services which went into effect starting October 1, 2012. There is a plethora of ...
  4. Spatiotemporal data visualisation for homecare monitoring of elderly people

    Artificial Intelligence in Medicine 65(2):97 (2015) PMID 26129627

    Objective Elderly people who live alone can be assisted by home monitoring systems that identify risk scenarios such as falls, fatigue symptoms or burglary. Given that these systems have to manage spatiotemporal data, human intervention is required to validate automatic alarm...
  5. Editorial Board
    Author(s) unavailable

    Artificial Intelligence in Medicine 65(2):IFC (2015)

  6. Boosting drug named entity recognition using an aggregate classifier

    Artificial Intelligence in Medicine 65(2):145 (2015) PMID 26116947

    Highlights • We investigate drug NER using limited or no manually annotated data. • We propose an algorithm for combining methods based on annotations an...
  7. Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients

    Artificial Intelligence in Medicine 65(2):79 (2015) PMID 26253753

    Objectives Confounding factors in unsupervised data can lead to undesirable clustering results. For example in medical datasets, age is often a confounding factor in tests designed to judge the severity of a patient's disease through measures of mobility, eyesight and hearing...
  8. Clinical time series prediction: Toward a hierarchical dynamical system framework

    Artificial Intelligence in Medicine 65(1):5 (2015) PMID 25534671 PMCID PMC4422790

    Objective Developing machine learning and data mining algorithms for building temporal models of clinical time series is important for understanding of the patient condition, the dynamics of a disease, effect of various patient management interventions and clinical decision m...
  9. Approaching the axiomatic enrichment of the Gene Ontology from a lexical perspective

    Artificial Intelligence in Medicine 65(1):35 (2015) PMID 25488031

    • We propose a method for detecting lexical regularities in ontology labels. • We present a metric that measures how to decompose classes that exhibit regularity. ...
  10. Artificial Intelligence in Medicine AIME 2013

    Artificial Intelligence in Medicine 65(1):1 (2015) PMID 26296749