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Article ; Online: Comprehensive Combined Index of Vulnerability and Resilience in Selected Countries (G7 and MENA); Graph Theory Approach

Mozhgan Moallemi / Yeganeh Moosavi jahromi / Alireza ُSharif Moghadasi / Maryam Ramezani

پژوهشهای اقتصادی, Vol 23, Iss 2, Pp 219-

2023 Volume 247

Abstract: Aim and Introduction Internal and external economic crises and shocks are inevitable in different countries. Many countries are unable to resist economic crises and witnessed undesirable economic events. On the other hand, some countries are highly ... ...

Abstract	Aim and Introduction Internal and external economic crises and shocks are inevitable in different countries. Many countries are unable to resist economic crises and witnessed undesirable economic events. On the other hand, some countries are highly resilient to domestic and foreign economic crises. The single-product countries are more vulnerable to economic crises than other countries. Resilience of the economy can help move the economy towards sustainable development. Sustainable development is a development that meets the current human needs without harming the capabilities of the future generations to meet their needs. For sustainable development, four dimensions including governance, economic, environmental and social dimensions are considered. Analyzing the growth history of countries reveals the fact that international trade has been the engine of economic prosperity and expansion of most advanced and developing societies. In order to achieve sustainable development, it is necessary to have trade relations with other countries of the world. Also, the country's distance from international trade centers due to specific geographical and political conditions will be an obstacle to the development of the economy. In this way, the peripheral dimension is proposed as the fifth dimension of sustainable development to show the political and geographical isolation of the country. In this article, first, the dimensions of sustainable development and its subgroup variables are determined. Then the impact of sustainable development dimensions on the state of economic vulnerability and resilience of different countries are analyzed. The statistical sample includes two groups of countries including G7 member countries and MENA countries. This study investigates the state of vulnerability and resilience (VR) of these two groups during 2017-2020. Methodology In this article, Graph theory and Tarjan's algorithm are used to analyze the relationships within the network of variables influencing sustainable development and to ...
Keywords	economic vulnerability and resilience ; sustainable development ; graph theory ; tarjan algorithm ; composite index ; Economics as a science ; HB71-74
Subject code	339
Language	Persian
Publishing date	2023-05-01T00:00:00Z
Publisher	Tarbiat Modares University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Research agenda for using artificial intelligence in health governance

Maryam Ramezani / Amirhossein Takian / Ahad Bakhtiari / Hamid R. Rabiee / Sadegh Ghazanfari / Saharnaz Sazgarnejad

BioData Mining, Vol 16, Iss 1, Pp 1-

interpretive scoping review and framework

2023 Volume 18

Abstract: Abstract Background The governance of health systems is complex in nature due to several intertwined and multi-dimensional factors contributing to it. Recent challenges of health systems reflect the need for innovative approaches that can minimize ... ...

Abstract	Abstract Background The governance of health systems is complex in nature due to several intertwined and multi-dimensional factors contributing to it. Recent challenges of health systems reflect the need for innovative approaches that can minimize adverse consequences of policies. Hence, there is compelling evidence of a distinct outlook on the health ecosystem using artificial intelligence (AI). Therefore, this study aimed to investigate the roles of AI and its applications in health system governance through an interpretive scoping review of current evidence. Method This study intended to offer a research agenda and framework for the applications of AI in health systems governance. To include shreds of evidence with a greater focus on the application of AI in health governance from different perspectives, we searched the published literature from 2000 to 2023 through PubMed, Scopus, and Web of Science Databases. Results Our findings showed that integrating AI capabilities into health systems governance has the potential to influence three cardinal dimensions of health. These include social determinants of health, elements of governance, and health system tasks and goals. AI paves the way for strengthening the health system's governance through various aspects, i.e., intelligence innovations, flexible boundaries, multidimensional analysis, new insights, and cognition modifications to the health ecosystem area. Conclusion AI is expected to be seen as a tool with new applications and capabilities, with the potential to change each component of governance in the health ecosystem, which can eventually help achieve health-related goals.
Keywords	Artificial intelligence ; Health system ; Governance ; Stewardship ; Framework ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Analysis ; QA299.6-433
Subject code	360
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Developing an organizational capacity assessment tool and capacity-building package for the National Center for Prevention and Control of Noncommunicable Diseases in Iran.

Ahad Bakhtiari / Amirhossein Takian / Afshin Ostovar / Masoud Behzadifar / Efat Mohamadi / Maryam Ramezani

PLoS ONE, Vol 18, Iss 6, p e

2023 Volume 0287743

Abstract: Non-communicable diseases represent 71% of all deaths worldwide. In 2015, Sustainable Development Goals, including target 3.4 of SDGs, were seated on the world agenda; "By 2030, reduce premature mortality from NCDs by one-third. More than half of the ... ...

Abstract	Non-communicable diseases represent 71% of all deaths worldwide. In 2015, Sustainable Development Goals, including target 3.4 of SDGs, were seated on the world agenda; "By 2030, reduce premature mortality from NCDs by one-third. More than half of the world's countries are not on track to reach SDG 3.4, and the COVID-19 crisis has hampered the delivery of essential NCD services globally, which means the premature death of millions of people and indicates the need for capacity building for health systems. We designed a tool to measure the capacity of the National Center for Non-Communicable Disease and then presented the proposed policy package to enhance the national center's organizational capacity. The data for this explanatory sequential mixed method study was collected using quantitative and qualitative approaches between February 2020 and December 2021. The tool for assessing organizational capacity for NCDs was developed, and its validity and reliability were measured. The developed tool assessed the organizational capacity by evaluating NCNCD's managers and experts. Following the quantitative phase, a qualitative phase focused on the low-capacity points revealed by the tool. The causes of low capacity were investigated, as well as potential interventions to improve capacity. The developed tool comprises six main domains and eighteen subdomains, including (Governance, Organizational Management, Human Resources Management, Financial Management, Program Management, and Relations Management) which verified validity and reliability. In seven separate National Center for Non-Communicable Disease units, the organizational capacity was measured using the designed tool. (Cardiovascular disease and hypertension; diabetes; chronic respiratory disease; obesity and physical activity; tobacco and alcohol; nutrition; and cancers). The organizational management dimensions and the sub-dimensions of the organizational structure of the Ministry of Health and Medical Education and units affiliated with the national center, in ...
Keywords	Medicine ; R ; Science ; Q
Subject code	690
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The application of artificial intelligence in health policy

Maryam Ramezani / Amirhossein Takian / Ahad Bakhtiari / Hamid R. Rabiee / Sadegh Ghazanfari / Hakimeh Mostafavi

BMC Health Services Research, Vol 23, Iss 1, Pp 1-

a scoping review

2023 Volume 11

Abstract: Abstract Background Policymakers require precise and in-time information to make informed decisions in complex environments such as health systems. Artificial intelligence (AI) is a novel approach that makes collecting and analyzing data in complex ... ...

Abstract	Abstract Background Policymakers require precise and in-time information to make informed decisions in complex environments such as health systems. Artificial intelligence (AI) is a novel approach that makes collecting and analyzing data in complex systems more accessible. This study highlights recent research on AI’s application and capabilities in health policymaking. Methods We searched PubMed, Scopus, and the Web of Science databases to find relevant studies from 2000 to 2023, using the keywords “artificial intelligence” and “policymaking.” We used Walt and Gilson’s policy triangle framework for charting the data. Results The results revealed that using AI in health policy paved the way for novel analyses and innovative solutions for intelligent decision-making and data collection, potentially enhancing policymaking capacities, particularly in the evaluation phase. It can also be employed to create innovative agendas with fewer political constraints and greater rationality, resulting in evidence-based policies. By creating new platforms and toolkits, AI also offers the chance to make judgments based on solid facts. The majority of the proposed AI solutions for health policy aim to improve decision-making rather than replace experts. Conclusion Numerous approaches exist for AI to influence the health policymaking process. Health systems can benefit from AI’s potential to foster the meaningful use of evidence-based policymaking.
Keywords	Artificial intelligence ; Health system ; Policymaking ; Health policy ; Public aspects of medicine ; RA1-1270
Subject code	360
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The application of artificial intelligence in health financing

Maryam Ramezani / Amirhossein Takian / Ahad Bakhtiari / Hamid R. Rabiee / Ali Akbar Fazaeli / Saharnaz Sazgarnejad

Cost Effectiveness and Resource Allocation, Vol 21, Iss 1, Pp 1-

a scoping review

2023 Volume 13

Abstract: Abstract Introduction Artificial Intelligence (AI) represents a significant advancement in technology, and it is crucial for policymakers to incorporate AI thinking into policies and to fully explore, analyze and utilize massive data and conduct AI- ... ...

Abstract	Abstract Introduction Artificial Intelligence (AI) represents a significant advancement in technology, and it is crucial for policymakers to incorporate AI thinking into policies and to fully explore, analyze and utilize massive data and conduct AI-related policies. AI has the potential to optimize healthcare financing systems. This study provides an overview of the AI application domains in healthcare financing. Method We conducted a scoping review in six steps: formulating research questions, identifying relevant studies by conducting a comprehensive literature search using appropriate keywords, screening titles and abstracts for relevance, reviewing full texts of relevant articles, charting extracted data, and compiling and summarizing findings. Specifically, the research question sought to identify the applications of artificial intelligence in health financing supported by the published literature and explore potential future applications. PubMed, Scopus, and Web of Science databases were searched between 2000 and 2023. Results We discovered that AI has a significant impact on various aspects of health financing, such as governance, revenue raising, pooling, and strategic purchasing. We provide evidence-based recommendations for establishing and improving the health financing system based on AI. Conclusions To ensure that vulnerable groups face minimum challenges and benefit from improved health financing, we urge national and international institutions worldwide to use and adopt AI tools and applications.
Keywords	Artificial intelligence ; Health financing ; Applications ; Medicine (General) ; R5-920
Subject code	360
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Developing an organizational capacity assessment tool and capacity-building package for the National Center for Prevention and Control of Noncommunicable Diseases in Iran

Ahad Bakhtiari / Amirhossein Takian / Afshin Ostovar / Masoud Behzadifar / Efat Mohamadi / Maryam Ramezani

PLoS ONE, Vol 18, Iss

2023 Volume 6

Abstract: Non-communicable diseases represent 71% of all deaths worldwide. In 2015, Sustainable Development Goals, including target 3.4 of SDGs, were seated on the world agenda; “By 2030, reduce premature mortality from NCDs by one-third. More than half of the ... ...

Abstract	Non-communicable diseases represent 71% of all deaths worldwide. In 2015, Sustainable Development Goals, including target 3.4 of SDGs, were seated on the world agenda; “By 2030, reduce premature mortality from NCDs by one-third. More than half of the world’s countries are not on track to reach SDG 3.4, and the COVID-19 crisis has hampered the delivery of essential NCD services globally, which means the premature death of millions of people and indicates the need for capacity building for health systems. We designed a tool to measure the capacity of the National Center for Non-Communicable Disease and then presented the proposed policy package to enhance the national center’s organizational capacity. The data for this explanatory sequential mixed method study was collected using quantitative and qualitative approaches between February 2020 and December 2021. The tool for assessing organizational capacity for NCDs was developed, and its validity and reliability were measured. The developed tool assessed the organizational capacity by evaluating NCNCD’s managers and experts. Following the quantitative phase, a qualitative phase focused on the low-capacity points revealed by the tool. The causes of low capacity were investigated, as well as potential interventions to improve capacity. The developed tool comprises six main domains and eighteen subdomains, including (Governance, Organizational Management, Human Resources Management, Financial Management, Program Management, and Relations Management) which verified validity and reliability. In seven separate National Center for Non-Communicable Disease units, the organizational capacity was measured using the designed tool. (Cardiovascular disease and hypertension; diabetes; chronic respiratory disease; obesity and physical activity; tobacco and alcohol; nutrition; and cancers). The organizational management dimensions and the sub-dimensions of the organizational structure of the Ministry of Health and Medical Education and units affiliated with the national center, in ...
Keywords	Medicine ; R ; Science ; Q
Subject code	690
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Bibliometric Analysis of Artificial Intelligence Revolutions in Health-related SDGs

Maryam Ramezani / Amirhossein Takian / Ahad Bakhtiari / Hamid R. Rabiee / Saharnaz Sazgarnejad

Health Technology Assessment in Action, Vol 7, Iss

2023 Volume 4

Abstract: Abstract Background: In line with the advancement of Artificial Intelligence (AI), innovative solutions have been designed to improve healthrelated Sustainable Development Goals (SDGs). Accordingly, there is an increasing trend in the realm of AI and SDG ...

Abstract	Abstract Background: In line with the advancement of Artificial Intelligence (AI), innovative solutions have been designed to improve healthrelated Sustainable Development Goals (SDGs). Accordingly, there is an increasing trend in the realm of AI and SDG research areas. Objectives: This study aimed to analyze the trends and patterns of AI research in health-related SDGs using bibliometric analysis. Methods: The bibliometric approach facilitated the identification of key terms and countries from previous research. We used VOSviewer to map and analyze data obtained from three databases: Scopus, Web of Science, and PubMed. Results: Our findings illustrated that research on health has been a popular area of study in recent years. In particular, we observed a significant increase in research on AI in health-related SDGs during 2015 - 2022. Conclusions: This study provides insights into the trends and patterns of AI research in health-related SDGs using bibliometric analysis. The findings can guide future research by identifying key terms that require further investigation.
Keywords	Artificial intelligence ; Revolutions ; Health ; SDGs ; Economic biology ; QH705-705.5
Subject code	001
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	Tehran University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Improving Graph-based Approaches for Personalized Tag Recommendation

Maryam Ramezani

Journal of Emerging Technologies in Web Intelligence, Vol 3, Iss 2, Pp 168-

2011 Volume 176

Abstract: Social tagging applications allow users to annotate online resources, resulting in a complex network of interrelated users, resources and tags often called a Folksonomy. A folksonomy is often represented as a hyper-graph in which each hyper-edge connects ...

Abstract	Social tagging applications allow users to annotate online resources, resulting in a complex network of interrelated users, resources and tags often called a Folksonomy. A folksonomy is often represented as a hyper-graph in which each hyper-edge connects a user, resource and tag. This tripartite hyper-graph is often used by data mining applications to provide services for the user such as tag recommenders. This paper provides an overview on the state of the art of graph-based tag recommendation from a critical perspective. In addition, we suggest improving the existing graph-based tag recommendation techniques by introducing a new model of the folksonomy as a directed graph.
Keywords	tag recommendation ; folksonomy ; Science (General) ; Q1-390 ; Science ; Q
Language	English
Publishing date	2011-05-01T00:00:00Z
Publisher	ACADEMY PUBLISHER
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Feasibility Analysis of Using Anatomic and Dental Formulas in Human Identification

Elahe Tahmasebi / Shahryar Karami / Samira Hajisadeghi / Mahmood Tavallaie / Mohsen Yazdanian / Mahmood Salesi / Maryam Ramezani

Journal of Mazandaran University of Medical Sciences, Vol 32, Iss 212, Pp 107-

2022 Volume 119

Abstract: Background and purpose: Dental and skeletal features, unlike soft tissues, remain unchanged in events where most body tissues are destroyed such as car accidents, plane crash, crimes, etc. Panoramic and lateral cephalometric radiographs can provide ... ...

Abstract	Background and purpose: Dental and skeletal features, unlike soft tissues, remain unchanged in events where most body tissues are destroyed such as car accidents, plane crash, crimes, etc. Panoramic and lateral cephalometric radiographs can provide useful information about dental and cephalometric indicators in human identification. Materials and methods: A cohort retrospective study was carried out in five stages, including collecting the samples, using a specific tooth counting system, identifying the landmarks in panoramic radiographs and designing a dental formula, designing anatomical formula with cephalometric indicators and identifying operator errors, and matching and data analysis. Results: We studied 180 people, including 97 (54%) women and 83 men aged 15-59 (mean age= 25.5) years in Tehran. Average indexes of missing (M), filled (F), Root Canal Therapy (RCT) teeth, crown (C), (Body/Go-Go), (Mf-Mf/Mf-Go(R+L)), De, P, ER, Go in lateral Cephalometry, SNA, SNB, Basal, N-Ans-Me, Ans-Pns/Go-Me, and S-Go/N-Me were not significantly different between cases by comparing the graphs before and after treatments (P>0.05). Examination of average indices of implant and dilacerated teeth in general and without considering the number of teeth, did not show a significant difference when the pre/post-treatment graphs were compared (P>0.05). In examining the Co-Ans/Co-Gn, Go in panoramic graph, (S-N/S-Ba) and S-N-Ba, no significant difference was observed between the cases (P>0.05). Conclusion: Panoramic, lateral cephalometric graphs and designing creative formula can be used in human identification.
Keywords	panoramic radiograph ; human identification ; lateral cephalometry ; Medicine ; R ; Medicine (General) ; R5-920
Language	English
Publishing date	2022-09-01T00:00:00Z
Publisher	Mazandaran University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Quality of Iranian, foreign packaged drinking waters and municipal drinking water in Golestan Province, north of Iran

Mojtaba G.Mahmoodlu / Mostafa Raghimi / Maryam Sayadi / Farzad Ahmadi / Maryam Ramezani Mojaveri

مجله دانشگاه علوم پزشکی گرگان, Vol 22, Iss 4, Pp 112-

2021 Volume 122

Abstract: Background and Objective: The use of packaged drinking water is on the rise nowadays in most countries, including Iran. Currently, more than 100 different brands of packaged drinking water are produced and distributed in Iran. This study was done to ... ...

Abstract	Background and Objective: The use of packaged drinking water is on the rise nowadays in most countries, including Iran. Currently, more than 100 different brands of packaged drinking water are produced and distributed in Iran. This study was done to evaluate the quality of Iranian, foreign packaged drinking waters and municipal drinking water in Golestan Province, north of Iran. Methods: This descriptive-analytical study was done on 56 packaged drinking waters of different Iranian and foreign brands, eight brands produced in Golestan province and a number of municipal drinking water samples were collected from Gorgan and Gonbad Kavous cities in northern Iran. To assess the quality of packaged drinking water and drinking water, their physicochemical parameters were compared with National Iranian Standards 1053 and WHO. Stiff and Piper diagrams were plotted to determine the type and hydrochemical facies of water samples. Gibbs and Schoeller diagrams were used to determine the water chemistry controlling factors of water samples and their water quality for drinking, respectively. Results: The concentrations of physicochemical parameters (except bicarbonate) were within the range of national drinking water standards 1053 and WHO. The average nitrate concentration in all packaged drinking and drinking water was within the standard range. The fluoride concentration of all packaged drinking waters and drinking water was within the range of WHO standard. However, only 14 samples of all packaged drinking and drinking water samples are within the range of 1053 National Iranian Water Standard. The total concentration of soluble solids and the total hardness of packaged drinking water were within the range of 1053 NW. There was also a significant difference (P<0.05) between the chemical parameters of magnesium, sodium, chloride and nitrate in packaged drinking water produced in Golestan province with the municipal drinking water samples. Conclusion: The amount of fluoride in drinking water in this study was less than desirable and required fluorination. The quality of packaged drinking water in Golestan province is better than the municipal drinking water.
Keywords	water quality ; drinking water ; nitrate ; fluoride ; Medicine ; R ; Medicine (General) ; R5-920
Subject code	500
Language	Persian
Publishing date	2021-01-01T00:00:00Z
Publisher	Golestan University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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