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    <ns1:title language="en">Normalization of Medical Records Written in Serbian</ns1:title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en">Abstract: A bunch of patient data in hospital information systems is kept every day. A part of the data that contains the symptoms, anamnesis, and observations of a doctor can be used for further processing in order to improve public health. This paper describes the algorithm for normalizing medical textual data in order to prepare them for further processing, and within the framework of smart healthcare services. The result of its application is normalized data but also a corpus of stop words specific to the medical domain</ns1:description>
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      <ns2:identifier>978-86-85525-24-7</ns2:identifier>
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    <ns2:peer_reviewed>no</ns2:peer_reviewed>
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        <ns3:firstname>Aldina</ns3:firstname>
        <ns3:lastname>Avdić</ns3:lastname>
        <ns3:institution>Državni univerzitet u Novom Pazaru</ns3:institution>
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        <ns3:firstname>Ulfeta</ns3:firstname>
        <ns3:lastname>Marovac</ns3:lastname>
        <ns3:institution>Državni univerzitet u Novom Pazaru</ns3:institution>
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        <ns3:firstname>Dragan </ns3:firstname>
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        <ns3:lastname>Avdić</ns3:lastname>
        <ns3:institution>Državni univerzitet u Novom Pazaru</ns3:institution>
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    <ns1:location>https://phaidrabg.bg.ac.rs/o:33813</ns1:location>
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    <ns12:name_magazine language="en">ISOS Conference Proceedings Series, Proceedings of the 9th International Conference on Information Society and Technology</ns12:name_magazine>
    <ns12:from_page>72</ns12:from_page>
    <ns12:to_page>75</ns12:to_page>
    <ns12:releaseyear>2019</ns12:releaseyear>
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