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  1. Ana Sayfa
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Yazar "Mersinkaya, Ismail" seçeneğine göre listele

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    Biomedical Informatics from Big Data Perspective: Expectations and Challenges
    (Ieee, 2018) Mersinkaya, Ismail; Ekren, Gulay
    Biomedical data is generated in large quantities every day not just by biomedical devices but also by hospital equipments and other resources as well as mobile devices. One of the new technologies that biomedical computing has been working on is called as big data. However, this large amount of data (big data) is rapidly disappearing since it is not usually used or stored for research purposes. Today, big data technology finds various application areas in research fields such as biomedical and healthcare services. Biomedical Informatics, as a subfield of biomedical research, is one of the favorite areas in where big data analyzes are frequently used. Recently, studies point out that the the enormous potential of big data and using it in biomedical research is quite important. The aim of this study is to identify the expectations and challenges in biomedical informatics in terms of big data technology by classifying data gathering, data storage, data management and data analysis. In this line, an organizational model is offered for Biomedical Informatics in terms of big data.
  • [ X ]
    Öğe
    Mini Gel Electrophoresis System Based on Embedded System
    (Ieee, 2018) Mersinkaya, Ismail; Kavsaoglu, Ahmet Resit
    The current technologies are utilizable for applying the electrophoresis through agarose or polyacrylamide gels. This standart method is used to seperate, identify and purify nucleic acids, and to get faster as well as more efficiently results by identifying the bands including the basepairs. In this study, Mini Gel Electrophoresis System Based Embedded System (MESBES) is developed to increase the sensibility and accuracy of electrophoresis system by using laboratory environment, and so this system achives to wipe-out the errors based on humans as well as laboratory environment. Additionally, this system also provides faster, more accure and easily accomplishment resulting of the analyses done in laboratory environments by the software of embedded system, microprocessor, human interface, remote access and software development features. MESBES has an upgradeable structure with the typical characteristics of embedded systems such as low power consumption, and updatable. During the process of electrophoresis, getting instantaneous data with user interface, taking band images by applying the UV to gel, at the end of the process transfering the band images to the electronic media automatically can be provided.

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