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An Improved Prediction Approach for Progression of Ocular Hypertension to Primary Open Angle Glaucoma

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092263" target="_blank" >RIV/61989100:27240/14:86092263 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/14:86092263

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-08156-4_40" target="_blank" >http://dx.doi.org/10.1007/978-3-319-08156-4_40</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-08156-4_40" target="_blank" >10.1007/978-3-319-08156-4_40</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Improved Prediction Approach for Progression of Ocular Hypertension to Primary Open Angle Glaucoma

  • Original language description

    In this paper, we present an improved prediction model for progression of ocular hypertension to primary open angle glaucoma using a random forest classification approach. Our model comprises two phases: risk factor calculation and prediction. We start by calculating the risk factors associated with the outcome, followed by a prediction phase that utilises a random forest approach for classification into one of four obtained classes, namely low, mid, high, and moderate. Experimental results show that the employed random forest classifier provides better prediction accuracy compared to other machine learning techniques including Bayes net, multi-layer perceptron, radial basis function and naive Bayes tree classifiers.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 303

  • ISBN

    978-3-319-08155-7

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    405-412

  • Publisher name

    Springer-Verlag Berlin Heidelberg

  • Place of publication

    Berlin Heidelberg

  • Event location

    Ostrava

  • Event date

    Jun 23, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article