Treffer: 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
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, AuroreAff1, IDs12911022019659_cor1, Ruranga, Charles, Musanabaganwa, Clarisse, Mugeni, Regine, Semakula, Muhammed, Nzabanita, Joseph, Kabano, Ignace, Uwimana, Annie, Utumatwishima, Jean N., Kabakambira, Jean Damascene, Uwineza, Annette, Halvorsen, Lars, Descamps, Freija, Houghtaling, Jared, Burke, Benjamin, Bahati, Odile, Bizimana, Clement, Jansen, Stefan, Twizere, Celestin, Nkurikiyeyezu, Kizito, Birungi, Francine, Nsanzimana, Sabin, Twagirumukiza, MarcAff1, Aff10
Source:
BMC Medical Informatics and Decision Making. 22(1)
Database:
Springer Nature Journals