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1دورية أكاديمية
المؤلفون: Mohammad Pakravan, Azadeh Samaeili, Hamed Esfandiari, Kiana Hassanpour, Sadid Hooshmandi, Shahin Yazdani, Farideh Sharifipour, Azadeh Doozandeh, Bahram Einollahi, Parastou Pakravan, Mohammad Hasan Shahriari, Bahareh Kheiri
المصدر: Journal of Ophthalmic & Vision Research, Vol 17, Iss 4, Pp 497-504 (2022)
مصطلحات موضوعية: accommodation, accommodative tasks, intraocular pressure, primary open-angle glaucoma, Ophthalmology, RE1-994
الوصف: Abstract Purpose: To investigate the effect of static accommodative tasks on intraocular pressure (IOP) of glaucomatous and normal eyes. Methods: Four groups of subjects categorized as primary open-angle glaucoma (POAG), primary angle-closure suspects (PACS), normal age-matched controls, and normal young adults (NYA; age < 40 years) were enrolled. The baseline IOPs were measured after the subjects were looking at a distant target for 15 min. Static accommodation was obtained by execution of near vision tasks (reading at 33 cm in daylight [300 lux] for 60 min). IOPs were measured at 15, 30, 45, and 60 min intervals while accommodating and then measured again after 15 min of relaxing accommodation while looking at a distant target. Results: One-hundred and eighteen eyes of 98 subjects were recruited. The study groups consisted of the following categories: 25 POAG (46 eyes), 24 PACS (47 eyes), 25 matched controls (50 eyes), and 24 NYA (48 eyes). Within all groups, the mean IOP decreased throughout the accommodation period at all time points. Maximum IOP reduction after accommodation was detected at the 30-min time among the POAG subjects, at the 45-min time in the PACS and matched control groups, and at 15 min after the relaxation of accommodation in the NYA group. IOP reduction levels showed no statistically significant difference among POAG, PACS, and the normal matched groups in their response to accommodation. However, NYA had significantly lower IOP and greater IOP reduction after the resting period (relaxation of accommodation). Conclusion: Static accommodative tasks can significantly reduce IOP in normal, POAG, and PACS individuals. Encouraging glaucoma patients to practice periodical near vision tasks could be viewed as an adjunctive measure for glaucoma management.
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Masomeh Kalantarion, Zhale Rajavi, Hamideh Sabbaghi, Bahareh Kheiri, Mohammad Hasan Shahriari, Farinaz Fatahi Mozafar
المصدر: Journal of Ophthalmic & Vision Research, Vol 17, Iss 2, Pp 233-241 (2022)
مصطلحات موضوعية: coronavirus disease, iran, ophthalmologists, psychological impact, Ophthalmology, RE1-994
الوصف: Abstract Purpose: To identify the psychological impact of coronavirus disease on ophthalmologists practicing in Iran between August and December 2020. Methods: In this cross-sectional online survey, a standard Patient Health Questionnaire- 9 (PHQ- 9) was completed by 228 ophthalmologists who were practicing in Iran. The PHQ- 9 questionnaire was revised by adding two additional questions specifically applicable for the assessment of the psychological impact of coronavirus disease on the Iranian ophthalmologists. An organized classification regarding the assessment of different depression severities identified as no (0–4), mild (5–9), moderate (10–14), or severe (15–21) was then considered for data analysis. Results: The mean age of our participants was 49.0 ± 15.61 years and the majority of them (67.1%) were male. Depression was discovered in 73.68% (n = 168) with different severities ranging from mild (n = 61, 26.75%), moderate (n = 63, 27.63%), and severe (n = 44, 19.3%). It was found that participants with depression were older as compared to those without depression (P = 0.038). Higher percentages of severe depression were noticed in the high-risk regions contaminated with corona virus as compared to the other low-risk regions (P = 0.003). Based on multivariable models, we determined that ophthalmologists who were somewhat concerned about their training/ profession (OR: 0.240; 95% CI: 0.086–0.672; P = 0.007) and those with no concerns about their income had lower association with depression (OR: 0.065; 95% CI: 0.005–0.91; P = 0.042). Conclusion: High prevalence of depression was observed among older aged Iranian ophthalmologists living in high-risk contaminated regions who possessed serious concerns with respect to their training/profession and income. It is recommended that the health policymakers of Iran pay more attention to the ophthalmologists who experience the aforementioned factors.
وصف الملف: electronic resource
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3دورية أكاديمية
المؤلفون: Sana Niazi, Marta Jiménez-García, Oliver Findl, Zisis Gatzioufas, Farideh Doroodgar, Mohammad Hasan Shahriari, Mohammad Ali Javadi
المصدر: Diagnostics, Vol 13, Iss 16, p 2715 (2023)
مصطلحات موضوعية: artificial intelligence, biomechanical phenomena, corneal topography, diagnosis, deep learning, keratoconus, Medicine (General), R5-920
الوصف: The remarkable recent advances in managing keratoconus, the most common corneal ectasia, encouraged researchers to conduct further studies on the disease. Despite the abundance of information about keratoconus, debates persist regarding the detection of mild cases. Early detection plays a crucial role in facilitating less invasive treatments. This review encompasses corneal data ranging from the basic sciences to the application of artificial intelligence in keratoconus patients. Diagnostic systems utilize automated decision trees, support vector machines, and various types of neural networks, incorporating input from various corneal imaging equipment. Although the integration of artificial intelligence techniques into corneal imaging devices may take time, their popularity in clinical practice is increasing. Most of the studies reviewed herein demonstrate a high discriminatory power between normal and keratoconus cases, with a relatively lower discriminatory power for subclinical keratoconus.
وصف الملف: electronic resource
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4دورية أكاديمية
المؤلفون: Hossein Mohammad-Rabei, Shahrokh Ramin, Sahar Lotfi, Hamideh Sabbaghi, Farid Karimian, Saeid Abdi, Mohammad Hasan Shahriari, Bahareh Kheiri, Kourosh Sheibani, Mohammad Ali Javadi
المصدر: Journal of Ophthalmic & Vision Research, Vol 18, Iss 1, Pp 1-2 (2023)
مصطلحات موضوعية: associated factors, iran, keratoconus, population, Ophthalmology, RE1-994
الوصف: Abstract Purpose: To determine associated factors for keratoconus (KCN) in the Iranian population. Methods: In this retrospective case-control study, 100 KCN patients and 200 age- and sex-matched individuals, who were either candidates for photorefractive keratectomy or healthy referrals from the Torfeh Eye Hospital, were included as the case and control groups, respectively. KCN patients were all registered at the Iranian National Registry of Keratoconus (KCNRegⓇ). Demographic characteristics, patients' symptoms and their habits, as well as systemic and ocular disorders were documented. Clinical examinations included best corrected visual acuity (BCVA) and refractive error measurements, biomicroscopic examination, and corneal imaging. Results: In this case group, the frequency of mild, moderate, and severe KCN was 38%, 28%, and 34%, respectively. Parental consanguinity (odds ratio [OR] = 1.758, P = 0.029), positive familial history in patients' first degree (OR = 12.533, P < 0.001) and second degree (OR = 7.52, P < 0.001) relatives, vernal keratoconjunctivitis (OR = 7.510, P = 0.003), severe eye rubbing (OR = 10.625, P < 0.001), and systemic diseases including migraine, hypertension, and thyroid disease (OR = 6.828, P = 0.021) were found as associated factors for KCN. Lesser frequency of KCN was observed in patients with Fars ethnicity (OR = 0.583, P = 0.042), with higher levels of wealth indices (OR = 0.31, P < 0.001) and higher levels of education (OR = 0.18, P = 0.024). Conclusion: Severe eye rubbing, vernal keratoconjunctivitis, parental consanguinity and positive familial history of KCN, low socioeconomic status, and low levels of education were significantly associated with KCN in our study population.
وصف الملف: electronic resource
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5دورية أكاديمية
المؤلفون: Elham Nazari, Parnian Asgari, Mehran Aghemiri, Mohammad Hasan Shahriari, Azam Zangeneh, Hamed Tabesh
المصدر: Frontiers in Health Informatics, Vol 10, Iss 1 (2021)
مصطلحات موضوعية: Bibliography. Library science. Information resources, Computer applications to medicine. Medical informatics, R858-859.7
الوصف: Introduction: The rate of mobile phone use among people, especially young people is increasing. The proper use of mobile phone for utilizing the advantages and stay away from its complications is essential. To obtain a model and how to use mobile phone will facilitate planning for preventing complications. So, in this article, questionnaire development with aimed at examining the pattern of mobile phone use among students of Iranian Universities. Methods: In this study a self-administered questionnaire was designed based on a literature review in PubMed, EMBASE, Science Direct, and Google Scholar database and using 2 rounds of the Delphi method with the presence of 10 experts from different fields. Result: In the first Delphi round 6 questions were obtained and in the second round 15 questions were confirmed. The mean of Content Validity Ratio and Content Validity Index for the questionnaire was 93.32 and 92.70, respectively. A questionnaire was designed and developed according to the purpose. Conclusions: Using the designed questionnaire, the mobile usage pattern among student universities can be examined and solutions can be considered for them. This can prevent further consequence.
وصف الملف: electronic resource
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6دورية أكاديمية
المؤلفون: Elham Nazari, Mohammad Hasan Shahriari, Hamed Tabesh
المصدر: Journal of Biostatistics and Epidemiology, Vol 6, Iss 2 (2020)
مصطلحات موضوعية: Coronavirus, Prevention, Outbreak, Reasons, Iran, Biology (General), QH301-705.5, Probabilities. Mathematical statistics, QA273-280
الوصف: Background: The rapid outbreak of Coronavirus has led to the worrying situation. Prevention strategies such as a stay at home offer great opportunities for transmission reduction of the virus. Therefore, the purpose of current study has developed a questionnaire to investigate the reasons for not staying at home in Iran. Methods: In this study a self-administered questionnaire was designed in two Delphi rounds and based on 50 expert and 10 expert opinions from different fields of study. Results: In the first Delphi round 11 questions were obtained and in the second round 14 questions were confirmed. The mean of CVR and CVI for the questionnaire was 95.33 and 94.67, respectively. A questionnaire was designed and developed according to the purpose. Conclusion: Using the designed questionnaire, the reasons why some people do not pay attention to home quarantine can be examined and solutions can be considered for them. This can prevent further corona spread.
وصف الملف: electronic resource
العلاقة: https://jbe.tums.ac.ir/index.php/jbe/article/view/357Test; https://doaj.org/toc/2383-4196Test; https://doaj.org/toc/2383-420XTest
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7دورية أكاديمية
المصدر: Journal of Biostatistics and Epidemiology, Vol 5, Iss 3 (2020)
مصطلحات موضوعية: Medical informatics, software engineering, Health care, framework, dimensions, Biology (General), QH301-705.5, Probabilities. Mathematical statistics, QA273-280
الوصف: Background & Aims: One of the challenges of multidisciplinary disciplines such as Medical Informatics, Health Information Technology, etc., especially for those who have just begun research in this field, is the lack of familiarity with some of the key terms and applications of software concepts, including frameworks. Methods: This study is based on search of databases (ProQuest, PubMed, Google Scholar, Science Direct, Scopus, IranMedex, Irandoc, Magiran, Pars Medline and Scientific Information Database (SID)). This investigation has done with the websites and the specialized books with standard key words. After a careful study, 56 sources were selected and used in the final article. Results: Frameworks are widely used in the field of health care and have produced valuable results. Considering the framework advantages in the health care sector among designing and estimating the systems in standard ways and comparing the systems in principle for identifying the gaps and introducing the capabilities, avoidance of reworking seem necessary. Therefore, after reviewing the literature we will explain about meaning, overlapping to the other meanings, components, steps, advantages, challenges, and the types of frameworks in general and their applications in the healthcare sector. Conclusions: The results of this research can help the researchers for doing the new research and understand the important concepts of that, thus it can be useful in designing and researching projects for researchers and health care providers as well.
وصف الملف: electronic resource
العلاقة: https://jbe.tums.ac.ir/index.php/jbe/article/view/305Test; https://doaj.org/toc/2383-4196Test; https://doaj.org/toc/2383-420XTest
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8دورية أكاديمية
المؤلفون: Elham Nazari, Mohammad Hasan Shahriari, Malihe Dadgarmoghaddam, Azadeh Saki, Mahsa Nahidi, Amin Mehrabian, Hamed Tabesh
المصدر: Informatics in Medicine Unlocked, Vol 21, Iss , Pp 100487- (2020)
مصطلحات موضوعية: Coronavirus, COVID -19, Prevention, Control, Computer applications to medicine. Medical informatics, R858-859.7
الوصف: Introduction: The coronavirus outbreak has become a worrying issue and some people refuse to stay at home. Therefore, this study aims to identify the reasons behind some Iranian people's refusal to stay at home to prevent further virus transmission. Method: This cross-sectional study was conducted on postgraduate students in Iran. A questionnaire was designed based on 50 experts’ opinions by using the Delphi method and 203 students completed the designed questionnaire in telegram groups. Results: 35% of participants were upper 30 years of age, 70.4% were female, 74.4% had no coronavirus infection among their relatives, and 54.7% of them were Ph.D. candidates. The relations between “unclear accountability of events by some officials” and age as well as “failure to provide dissenting viewpoints and critical comments” and age were statistically significant (p = 0.027، p = 0.014). Moreover the relation between coronavirus infected relative and “persistent beliefs” was statistically significant (p = 0.014). The Chi-square test showed that gender, degree, resident and education province did not affect questions answering. The greatest agreement with questions is as following: lack of real situation understanding; 89.7%, people's livelihoods, and lack of government planning for low-income groups support; 86.7%, lack of people's knowledge concerning the coronavirus; 80.8%, lack of communicative educations for crisis situations; 79.8%, false assurance as well as minimizes the risks; 78.3%. Conclusion: Identifying the non-compliance factors with health recommendations can guide health care providers and managers to implementation of beneficial intervention.
وصف الملف: electronic resource
العلاقة: http://www.sciencedirect.com/science/article/pii/S2352914820306389Test; https://doaj.org/toc/2352-9148Test
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9دورية أكاديمية
المؤلفون: Elham Nazari, Mohammad Hasan Shahriari, Hamed Tabesh
المصدر: Frontiers in Health Informatics, Vol 8, Iss 1, Pp e16-e16 (2019)
مصطلحات موضوعية: Bibliography. Library science. Information resources, Computer applications to medicine. Medical informatics, R858-859.7
الوصف: Introduction: The use of healthcare frameworks and, in particular, policy makers is crucial for designing and evaluating systems. Frameworks provide the ability to measure and compare health system functions in different countries in order to make better and more meaningful decisions, to make comparisons within and between countries, identifying gaps, and sharing information. Researchers also have the ability to use the dimensions of the frameworks to measure progress over time. Due to the importance of the subject, the purpose of this study is to describe the framework concepts and the introduction of framework applications in the field of health care. Material and Methods: This study is based on a search of the ProQuest, PubMed, Google Scholar, Science Direct, Scopus, IranMedex, Irandoc, Magiran, ParsMedline and Scientific Information Database (SID) databases, as well as the study of specialized keyword web sites and the standard was done. After a thorough study, 50 sources were selected according to the study objectives and were used to formulate the final article. Results: The framework can be used to manage health system investments, identify important research areas in the field of health, and define new and useful research. Conclusion: Given the importance of the health framework, the need to provide a framework for other critical health care sectors is essential.
وصف الملف: electronic resource
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10دورية أكاديمية
المؤلفون: Elham Nazari, Mohammad Hasan Shahriari, Hamed Tabesh
المصدر: Frontiers in Health Informatics, Vol 8, Iss 1, Pp e14-e14 (2019)
مصطلحات موضوعية: Bibliography. Library science. Information resources, Computer applications to medicine. Medical informatics, R858-859.7
الوصف: Introduction: Health care data is increasing. The correct analysis of such data will improve the quality of care and reduce costs. This kind of data has certain features such as high volume, variety, high-speed production, etc. It makes it impossible to analyze with ordinary hardware and software platforms. Choosing the right platform for managing this kind of data is very important. The purpose of this study is to introduce and compare the most popular and most widely used platform for processing big data, Apache Hadoop MapReduce, and the two Apache Spark and Apache Flink platforms, which have recently been featured with great prominence. Material and Methods: This study is a survey whose content is based on the subject matter search of the Proquest, PubMed, Google Scholar, Science Direct, Scopus, IranMedex, Irandoc, Magiran, ParsMedline and Scientific Information Database (SID) databases, as well as Web reviews, specialized books with related keywords and standard. Finally, 80 articles related to the subject of the study were reviewed. Results: The findings showed that each of the studied platforms has features, such as data processing, support for different languages, processing speed, computational model, memory management, optimization, delay, error tolerance, scalability, performance, compatibility, Security and so on. Overall, the findings showed that the Apache Hadoop environment has simplicity, error detection, and scalability management based on clusters, but because its processing is based on batch processing, it works for slow complex analyzes and does not support flow processing, Apache Spark is also distributed as a computational platform that can process a big data set in memory with a very fast response time, the Apache Flink allows users to store data in memory and load them multiple times and provide a complex Fault Tolerance mechanism Continuously retrieves data flow status. Conclusion: The application of big data analysis and processing platforms varies according to the needs. In other words, it can be said that each technology is complementary, each of which is applicable in a particular field and cannot be separated from one another and depending on the purpose and the expected expectation, and the platform must be selected for analysis or whether custom tools are designed on these platforms.
وصف الملف: electronic resource
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