Mathematical modeling of the problem of locating temporary accommodation centers and assigning victims after a possible earthquake to safe places and solving using meta-heuristic algorithms

Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_IJIMI-10-1_031

تاریخ نمایه سازی: 30 مرداد 1401

Abstract:

Introduction: The global prevalence of hearing loss is around ۵ percent in low to middle-income countries. The main purpose of this study is validating a mobile-based Pure Tone Audiometry (PTA), Dichotic Digit Test (DDT) and Speech in Noise (SIN) hearing tests for hearing loss screening purposes in Persian people comparing with routine audiometry exam results.Material and Methods: This is a single blind randomized controlled trial for comparing a mobile application for hearing screening exams. We designed and standardized PTA, DDT and SIN tests for Persian people and settled them into a specific developed mobile application called “Shenava®”. In the audiology clinic, we will recruit at least ۱۰۰ healthy adult participants, ۵۰ for the case and ۵۰ for the control group. The first group will pass “Shenava®” and standard test respectively and the other group will pass the tests vice versa to prevent order bias.Results: The results of the tests performed by “Shenava®” and audiometry exam will be analyzed to ensure the accuracy and validity of the” Shenava®” in comparison with standard audiometric exam results.Conclusion: Hearing tests are costly even for time and money and need a lot of efforts for audiologists and the patients. By designing a mobile app for hearing tests, we hope to be able to make diagnostic screening easier for hearing loss, and relying on the diagnostic value of this tool, it may encourage the patients to have a better follow up and effective treatment plan.

Authors

Firoozeh Khordastan

BS. Student Research Committee, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran

Jila Afsharmanesh

Kerman University of Medical Sciences, Kerman, Iran

Maryam Amizadeh

MD. Associate Professor of Otolaryngology, Kerman University of Medical Sciences, Kerman, Iran

Afshin Sarafi Nejad

MD. PhD. Assistant Professor of Medical Informatics, Clinical Informatics Research and Development Lab, Shafa Clinical Research Development Unit, Kerman University of Medical Sciences, Kerman, Iran