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Text mining analysis of over 392 million compromised healthcare records.

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Title: Text mining analysis of over 392 million compromised healthcare records.
Authors: Koczkodaj, Waldemar W.1, Nowacki, Marek2, Pedrycz, Witold3, Strzalka, Dominik4, strzalka@prz.edu.pl
Source: Advances in Science & Technology Research Journal; 2025, Vol. 19 Issue 2, p73-81, 9p
Database: Applied Science & Technology Source
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  Data: Text mining analysis of over 392 million compromised healthcare records.
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  Data: <searchLink fieldCode="JN" term="%22Advances+in+Science+%26+Technology+Research+Journal%22">Advances in Science & Technology Research Journal</searchLink>; 2025, Vol. 19 Issue 2, p73-81, 9p
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        Value: 10.12913/22998624/195690
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 73
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      – TitleFull: Text mining analysis of over 392 million compromised healthcare records.
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              Text: 2025
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