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Synapse
May 1, 201436 citations

Skin diseases diagnosis using artificial neural networks

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DFDelia-Maria FilimonAAAdriana Albu

Key Points

  • This research aims to explore the efficacy of artificial neural networks in diagnosing skin diseases.
  • Utilized artificial neural networks for diagnosis of skin diseases.
  • Focused on decision-making processes in medical informatics.
  • Assessed the impact on the speed of diagnosis for diseases with complex symptoms.
  • Artificial neural networks improved diagnosis speed significantly.
  • Physicians reported enhanced effectiveness in decision-making processes.
  • Reduced confusion in recognizing similar symptoms for skin diseases.

Abstract

Medical informatics is an interdisciplinary area (combining more academic fields), which benefits of technology's progress that reflects on any domain. This paper is an example about how artificial neural networks prove their capacities in medical field. They are successfully used in decision-making, having a strong impact on physicians, who can benefit of a faster diagnosis process for some diseases with multiple and confusing symptoms.

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Cite This Study

Filimon et al. (2014) studied this question.

synapsesocial.com/papers/6a0f675c5725bbd5cc5fbb16https://doi.org/10.1109/saci.2014.6840059
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