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Integrating Artificial Neural Networks For Developing Telemedicine Solution


  • Mihaela GHEORGHE

    () (Faculty of Economic Cybernetics, Statistics and Informatics, Bucharest University of Economic Studies, Romania)


Artificial intelligence is assuming an increasing important role in the telemedicine field, especially neural networks with their ability to achieve meaning from large sets of data characterized by lacking exactness and accuracy. These can be used for assisting physicians or other clinical staff in the process of taking decisions under uncertainty. Thus, machine learning methods which are specific to this technology are offering an approach for prediction based on pattern classification. This paper aims to present the importance of neural networks in detecting trends and extracting patterns which can be used within telemedicine domains, particularly for taking medical diagnosis decisions.

Suggested Citation

  • Mihaela GHEORGHE, 2015. "Integrating Artificial Neural Networks For Developing Telemedicine Solution," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 14(1), pages 64-69.
  • Handle: RePEc:pts:journl:y:2015:i:1:p:64-69

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    References listed on IDEAS

    1. Mihaela DIACONU & Amalia DUTU, 2014. "Prospects Of Designing Flexible Business Model In Turbulent Times," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 13(1), pages 19-29.
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    More about this item


    telemedicine; neural networks; machine learning; medical diagnosis; artificial intelligence.;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • I1 - Health, Education, and Welfare - - Health


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