SEPHYRES: A Medical Diagnosis Model based on Semantic Pseudo-Fuzzy Plan and Radar-form Interface

Authors

  • Ali SANAEIFAR Payam-e-Noor University of Tehran (PNU), Tehran, Iran. http://orcid.org/0000-0001-5164-4533
  • Mahmood TARA Department of Medical Informatics, School of Medicine, Mashhad University of Medical Science, Mashhad, Iran
  • Mitra AHADI Assistant professor of gastrointestinal and liver disease, Ghaem hospital, Department of Internal Medicine, Mashhad University of Medical Science (MUMS), Mashhad, Iran
  • Ali BAHARI Endoscopic & Minimally Invasive Surgery Research Center, Mashhad University of Medical Science (MUMS), Mashhad, Iran
  • Ahmad FARAAHI Department of Computer Engineering and Information Technology, Payam-e-Noor University of Tehran (PNU), Tehran, PO.BOX 19395-3697, Iran

Keywords:

Clinical information systems, Clinical decision support, Computer assisted decision making, Knowledge modeling and representation, Telemedicine and telehealth, Computer assisted diagnosis

Abstract

Clinical decision support systems have emerged to help users and patients. Despite the exciting developments, physicians still have not fully accepted and included the decision support systems in daily practice. Some of resistance is related to expressivity and user interface. After publishing SEPHYRES 1, a medical diagnostic assistant focused on only detailed pain descriptors, a more explicit advanced plan has been recommended to relieve above mentioned barriers. Having combined the pseudo-fuzzy and semantic layers could improve expressivity challenge in using diagnostic terms. In addition, applying visual-pain-area module in detailed granularity along with natural language processing module and radar-form interface, a new point of view for the user-interface-related problems has been addressed for future researchers.

Author Biographies

Ali SANAEIFAR, Payam-e-Noor University of Tehran (PNU), Tehran, Iran.

Payame Noor University of Tehran

Mahmood TARA, Department of Medical Informatics, School of Medicine, Mashhad University of Medical Science, Mashhad, Iran

Department of Medical Informatics

Mitra AHADI, Assistant professor of gastrointestinal and liver disease, Ghaem hospital, Department of Internal Medicine, Mashhad University of Medical Science (MUMS), Mashhad, Iran

Department of Internal Medicine

Ali BAHARI, Endoscopic & Minimally Invasive Surgery Research Center, Mashhad University of Medical Science (MUMS), Mashhad, Iran

Endoscopic & Minimally Invasive Surgery Research Center

Ahmad FARAAHI, Department of Computer Engineering and Information Technology, Payam-e-Noor University of Tehran (PNU), Tehran, PO.BOX 19395-3697, Iran

Department of Computer Engineering and Information Technology

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Published

25.04.2017

How to Cite

1.
SANAEIFAR A, TARA M, AHADI M, BAHARI A, FARAAHI A. SEPHYRES: A Medical Diagnosis Model based on Semantic Pseudo-Fuzzy Plan and Radar-form Interface. Appl Med Inform [Internet]. 2017 Apr. 25 [cited 2024 May 28];39(1-2):1-7. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/610

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