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Öğe A Systematic Review of Artificial Neural Networks in Medical Science and Applications(Ieee, 2020) Al-Salman, Omar; Mustafina, Jamila; Shahoodh, GailanArtificial intelligence, and especially Artificial Neural Networks (ANN), has gain a monumental growth and interest of healthcare providers to improve medical care while reduce cost. Applications of ANN for classification and prediction are well-established on numerous aspects of realworld applications. One of these many aspects is to improve healthcare delivery through influencing healthcare provider decisions. This study provides a systematic review of the applications of ANN to medical applications. We have screened 87 articles from several academic databases with coverage our cross-disciplinary query to identify matches in the literature based on the combinations following keywords; Artificial Neural Networks, Medicine, Healthcare, and Applications. Our systematic review process involves searching evidence from different sections while focusing on eligibility, rationale, objectives, evaluation and limitations. Reviewed studies have targeted the use of different ANN used including multilayer perceptron, convolutional and recurrent neural networks, along with deep learning approaches. Most of these studies informed classification of diseases or decision-making process. The commonest ANN architecture in this review was found to be the multilayer perceptron within a feed forward learning approach. Interpreting ANN final models was found to be the main challenge with medical applications.Öğe Towards a Context-Aware Digital Government in Iraq: A Public Sector Employees' Perspective(Ieee, 2020) Shahoodh, Gailan; Al-Salman, Omar; Mustafina, JamilaSuccessful transformation of government public transactions to digital services depends on having a precisely thought national strategy which is informed by a context-aware information and communication technologies (ICTs). This study examines the level ICTs awareness of public sector employees and the extent to which they can support the digital transformation of government public transactions. An online questionnaire was adopted to gather data from employees of Iraq public sector employees. According to the results, employee participants were believed they have proper ICTs skills to support the digital shift of government services. The findings also indicate that employee participants were enthusiasts to the digital services, whereas they are less satisfied with the government national policy as well as the allocated financial resources to implement digital government principles.