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      • Open Access Article

        1 - Optimized Modeling for satisfaction in the relationship between a physician and patient based on machine learnin methods
        Fatemeh Saghafi mojtaba shadmehr Zainabolhoda Heshmati Hadi Veisi
        Health has always been one of the most important concerns of human. The goal in this research is to know what factors cause and affect patient satisfaction in the relationship between a physician and patient. Since this relationship is a form of healthcare service, the More
        Health has always been one of the most important concerns of human. The goal in this research is to know what factors cause and affect patient satisfaction in the relationship between a physician and patient. Since this relationship is a form of healthcare service, the SERVQUAL service quality assessment method has been used as a framework. However the questions have been reviewed based on the previous literature and the experts’ views, leading to a questionnaire designed for the healthcare domain. Data collection has been performed using the questionnaires on subjects selected amongst clients of Rhinoplasty Centers in Tehran. To analyze the data, three machine-learning approaches have been implemented namely Decision Tree, Support Vector Machine and Artificial Neural Networks. A number of possible factors affecting the patient-physician relationship have been used as input and patient satisfaction has been taken as output. Comparing the results of these three methods, Artificial Neural Networks method is shown to have better performance, which has therefore been used for prioritizing the effective factors in this relationship. The results indicate that reaching the information which the patient expects their physician to give is the most effective characteristic in patient satisfaction. The rank of gained features were compared with similar researches. The outcome was very similar and approved the results. Manuscript profile
      • Open Access Article

        2 - Optimum modeling of patient satisfaction with the doctor based on machine learning methods
        - شادمهر Zainabolhoda Heshmati Fatemeh saghafi Hadi Veisi
        The patient-centered approach in the field of health has recently been proposed in the field of the medical system of our country, but until now there is no published scientific research on the factors of patient satisfaction with doctors. The present article aims to co More
        The patient-centered approach in the field of health has recently been proposed in the field of the medical system of our country, but until now there is no published scientific research on the factors of patient satisfaction with doctors. The present article aims to cover the stated gap with a scientific evaluation based on the real information obtained from the field study. A questionnaire was designed for the health sector and was approved by the opinion of experts. In order to get the opinions of patients, a questionnaire was distributed among 500 people who underwent rhinoplasty in Tehran, and 395 questionnaires were collected. Three methods of decision tree, support vector machine and neural networks were used for data analysis. The analysis of the results according to the accuracy criteria showed that the most efficient method, in priority, the importance of the factors affecting the patient's satisfaction; Neural network method. The results of the analysis with this method indicate that the most effective feature in the patient's satisfaction with the doctor is the information that the patient expects the doctor to provide. The results of ranking factors in comparison with other studies that only used statistical methods for analysis showed that the results were relatively similar and confirmed each other. But the strengths of the neural network method in modeling is the strength of this method compared to the mentioned studies. Manuscript profile
      • Open Access Article

        3 - The Effect of the Quality of the Support Spaces of High-rise Complexes on the Satisfaction Level of Residents Case Study: Residential Complex of Chamran street, Shiraz
        mohammad kazemi Hadi Keshmiri Zeynab Barzegari Jeihoini
        <p>Housing has other objectives such as providing multiple services and providing the needs of people living in that place. When the decision to determine a specified location for the residence, it is important to provide an acceptable level of satisfaction. People are More
        <p>Housing has other objectives such as providing multiple services and providing the needs of people living in that place. When the decision to determine a specified location for the residence, it is important to provide an acceptable level of satisfaction. People are satisfied with their residence time that they meet their needs. People are the most important factors in architecture; therefore designers and architects need to try and work towards providing and promoting the level of satisfaction in residential complexes. In order to investigate the promotion of satisfaction and its influential factors in high - rise residential complexes , support spaces are considered. The research method is descriptive - analytical and based on the applied goal. The method of data collection was library method and for main data of research , field method was considered. The data collection tool is edinterviews with residents of residential complex in chamran campus using questionnaires. The collected data were analyzed by using spss25 software. The results showed that the first priority of supporting space related to service spaces such as the existence of lift and &hellip;, after that the existence of garbage dump in the complex, then existence of safe spaces with safety and perfect security for children and existence of shops in order to meet the needs of collection for residents were important.</p> Manuscript profile