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Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale.

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Title: Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale.
Authors: Nishimwe, Aurore1 (AUTHOR) auroreshimwa@yahoo.fr, Ruranga, Charles2 (AUTHOR), Musanabaganwa, Clarisse3 (AUTHOR), Mugeni, Regine4 (AUTHOR), Semakula, Muhammed3 (AUTHOR), Nzabanita, Joseph5 (AUTHOR), Kabano, Ignace2 (AUTHOR), Uwimana, Annie2 (AUTHOR), Utumatwishima, Jean N.4 (AUTHOR), Kabakambira, Jean Damascene6 (AUTHOR), Uwineza, Annette6 (AUTHOR), Halvorsen, Lars7 (AUTHOR), Descamps, Freija7 (AUTHOR), Houghtaling, Jared7 (AUTHOR), Burke, Benjamin7 (AUTHOR), Bahati, Odile8 (AUTHOR), Bizimana, Clement8 (AUTHOR), Jansen, Stefan1 (AUTHOR), Twizere, Celestin9 (AUTHOR), Nkurikiyeyezu, Kizito9 (AUTHOR)
Source: BMC Medical Informatics & Decision Making. 8/12/2022, Vol. 22 Issue 1, p1-9. 9p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22BMC+Medical+Informatics+%26+Decision+Making%22">BMC Medical Informatics & Decision Making</searchLink>. 8/12/2022, Vol. 22 Issue 1, p1-9. 9p.
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