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COAR Access Rights: metadata only accessPublisher: Assoc Computing Machinery

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Now showing 1 - 5 of 5
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    ANALYSIS OF NEUROONCOLOGICAL DATA TO PREDICT SUCCESS OF OPERATION THROUGH CLASSIFICATION
    (Assoc Computing Machinery, 2016) Bagherzadi, Negin; Borcek, Alp Ozgun; Tokdemir, Gul; Cagiltay, Nergiz; Maras, H. Hakan
    Data mining algorithms have been applied in various fields of medicine to get insights about diagnosis and treatment of certain diseases. This gives rise to more research on personalized medicine as patient data can be utilized to predict outcomes of certain treatment procedures. Accordingly, this study aims to create a model to provide decision support for surgeons in Neurooncology surgery. For this purpose, we have analyzed clinical pathology records of Neurooncology patients through various classification algorithms, namely Support Vector Machine, Multi Perceptron and Naive Bayes methods, and compared their performances with the aim of predicting surgery complication. A large number of factors have been considered to classify and predict percentage of patient's complication in surgery. Some of the factors found to be predictive were age, sex, clinical presentation, previous surgery type etc. For classification models built up using Support Vector Machine, Naive Bayes and Multi Perceptron, Classification trials for Support Vector Machine have shown %77.47 generalization accuracy, which was established by 5-fold cross-validation.
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    Citation - WoS: 2
    Citation - Scopus: 2
    Software Engineering in Medical Informatics: a Systematic Literature Review
    (Assoc Computing Machinery, 2019) Dalveren, Gonca Gokce Menekse; Mishra, Deepti
    This study presents a systematic literature review to provide overall view of the application of Software Engineering (SE) in Medical Informatics (MI) field. Articles published from 2010 to 2019 from seven selected databases ( Emerald, PubMed, IEEE, ACM, Taylor Francis, SAGE and Wiley) were investigated. The existing literature was analyzed, and the emerging areas of research in the medical informatics field have been identified. According to the findings of this study, medical informatics research has been applied in many fields but there is still potential of further research in different areas. Most of the reviewed studies were conducted on data mining, decision support, deep learning and IoT. Also, it can be said that most of the applications are provided as web-based instead of mobile applications. To conclude, the results of this study provides insights to the researchers about the research directions and the gaps in the literature in the MI and SE fields.
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    Citation - Scopus: 2
    Big Data on Cloud for Government Agencies: Benefits, Challenges, and Solutions
    (Assoc Computing Machinery, 2018) Rashed, Alaa Hussain; Karakaya, Ziya; Yazici, Ali
    Big Data and Cloud computing are the most important technologies that give the opportunity for government agencies to gain a competitive advantage and improve their organizations. On one hand, Big Data implementation requires investing a significant amount of money in hardware, software, and workforce. On the other hand, Cloud Computing offers an unlimited, scalable and on-demand pool of resources which provide the ability to adopt Big Data technology without wasting on the financial resources of the organization and make the implementation of Big Data faster and easier. The aim of this study is to conduct a systematic literature review in order to collect data to identify the benefits and challenges of Big Data on Cloud for government agencies and to make a clear understanding of how combining Big Data and Cloud Computing help to overcome some of these challenges. The last objective of this study is to identify the solutions for related challenges of Big Data. Four research questions were designed to determine the information that is related to the objectives of this study. Data is collected using literature review method and the results are deduced from there.
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    Citation - WoS: 21
    E-Government - Exploring the Different Dimensions of Challenges, Implementation, and Success Factors
    (Assoc Computing Machinery, 2011) Mishra, Alok; Mishra, Deepti
    This paper explores the different dimensions of e-government significant issues Challenges, Implementation, and Success Factors. The main objective is to highlight the current research and practice direction in these important areas of e-government. The results were limited to peer-reviewed conference papers and journal articles, published from 2001 up to and including early 2011. The analysis revealed that most research has been done in formulating challenges and barriers, implementation plan, evaluation/assessment and success factors of e-government while studies on knowledge management in e-government, readiness for e-government, e-Gov. process and security/privacy issues could get only limited attention. This indicates the need for future research (quantitative and qualitative) in these areas. Further it also reports a summary of the research in these e-government areas.
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    Citation - WoS: 10
    Embodied Conversational Interfaces for the Elderly User
    (Assoc Computing Machinery, 2016) Mehrotra, Siddharth; Motti, Vivian Genaro; Frijns, Helena; Akkoc, Tugce; Yengec, Sena Busra; Calik, Oguz; Neerincx, Mark A.
    This paper describes the design and development of an embodied conversational agent (ECA) that provides a social interface for older adults. Following a user centred design approach, we implemented a multimodal agent consisting of a virtual character and a robot. This so-called "bi-bodied conversational agent for elderly" was iteratively refined and developed through participatory design and rapid prototyping in 3 consecutive focus groups with a total of 21 elderly users. In addition to the two bodies, a Wizard-of-Oz control panel was developed, enabling researchers to control both bodies so as to respond to the user's instructions, questions, and remarks. The research resulted in a platform that can be used for future research on elderly-robot and elderly-avatar interaction. In addition, the research resulted in insights about elderly users' preferences regarding the appearance and design of a virtual and a robotic ECA (Embodied Conversational Agent), described in results that can be reused in future experiments involving ECA for elderly users.