Abstract
This paper proposes an ontology based system for storing information on medical diagnostics. The proposed system is focused on a specific way of storing the medical content – it allows the user not only to store standard information in a medical domain, but gives an opportunity to store the ongoing research. The main contribution of this system is its extensibility to contain all types of medical information and its capability to provide the needed research material at hand, including the quickly way of finding and evaluating the controversial current results. This makes it possible for researchers to work together in team and remotely. The system has been tested on real experimental data we obtained in the diagnosis of lung cancer based on gene expression. The experiments have shown that the proposed system tends to cover the needs of users.
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Vatian, A., Artemova, G., Dobrenko, N., Filatov, A., Gusarova, N. (2017). An Ontology Based System for Storing the Research Results on Medical Diagnostics. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O. (eds) Digital Transformation and Global Society. DTGS 2017. Communications in Computer and Information Science, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-69784-0_31
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DOI: https://doi.org/10.1007/978-3-319-69784-0_31
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