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Roghaye Khasha, Mohammad Mahdi Sepehri, Nasrin Taherkhani,
Volume 14, Issue 3 (Aug & Sep 2020)
Abstract

Background and Aim: Asthma is a common and chronic disease of respiratory tracts. The best way to treat Asthma is to control it. Experts of this field suggest the continues monitoring on Asthma symptoms and adjustment of self-care plan with offering the preventive treatment program to have desired control over Asthma. Presenting these plans by the physician is set based on the control level in which the patient is. Therefore, successful recognition and classification of the disease control level can play an important role in presenting the treatment program to the patient and improves the self-care and strengthens the early interventions to alleviate the Asthma symptoms.  
Materials and Methods: Based on this objective, we collected the data of 96 Asthma patients within a 9-month period from a specialized hospital for pulmonary diseases in Tehran. Then we classified the Asthma control level by fuzzy clustering and different types of data mining method within a multivariate dataset with the multi-class response variable.
Results: Our best model resulting from the balancing operations and feature selection on data have yielded the accuracy of 88%.
Conclusion: Our proposed model can be applied in electronic Asthma self-care systems to support the decision in real time and personalized warnings on the possible deterioration of Asthma control. Such tools can centralize the Asthma treatment from the current reactive care models into a preventive approach in which the physician’s decisions and therapeutic actions are resulting from the personal patterns of chronic Asthma control and prevention of acute Asthma.

Mohammad Mehdi Sepehri, Minoo Fathi, Nasrin Taherkhani, Roghaye Khasha,
Volume 19, Issue 1 (4-2025)
Abstract

Background and Aim: The development of self-management application for gestational Diabetes based on mobile health, can increase the quality of life of pregnant mothers and reduce the cost of health care and treatment. In order to develop such an application, it is necessary to identify the key players of this system and examine the relationships between them. Then a gestational Diabetes self-management network based on mobile health tools can be presented.
Materials and Methods: The study was conducted in four phases. In the first phase, key players and roles were identified through literature review. In the second phase, interviews with experts were conducted to assess the identified players and their roles. The third phase involved identifying the relationships between players and their roles, accomplished by designing and completing questionnaires that explored the existence or absence of connections between them. In the final phase, the most critical roles and players were determined using social network analysis, employing three centrality indices: degree centrality, betweenness centrality, and closeness centrality.
Results: A total of 22 role players and 17 roles were identified. Based on the results, the Ministry of Health, with a degree centrality index of 41.12, was found to be the most influential and powerful role player in this network. The endocrinologist, nutritionist and obstetrician, with degree centrality indices of 38.52, 36.79, and 31.60. were ranked next. This indicates that the acceptance of this network by the medical community plays a critical role. Additionally, all three centrality indices showed that the role of patient education had the highest values, followed by roles such as education for specialists and healthcare staff, supporting patients in self-care behaviors, and ensuring patient safety and privacy, which were identified as the key roles.
Conclusion: This study aimed to identify various aspects of network design and the influential roles impacting the self-management of gestational Diabetes through mobile health. The Ministry of Health and the National Prevention Committee exhibited the most connections with each other in fulfilling their shared roles. Therefore, the Ministry of Health can fully delegate some roles to the National Prevention. Additionally, recognizing key roles underscores the necessity of prioritizing education and resource allocation for these roles.


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