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Using mobile health technology and community health workers to identify and refer caesarean-related surgical site infections in rural Rwanda: a randomised controlled trial protocol.
Sonderman KA, Nkurunziza T, Kateera F, Gruendl M, Koch R, Gaju E, Habiyakare C, Matousek A, Nahimana E, Ntakiyiruta G, Riviello R, Hedt-Gauthier BL. Sonderman KA, et al. BMJ Open. 2018 May 8;8(5):e022214. doi: 10.1136/bmjopen-2018-022214. BMJ Open. 2018. PMID: 29739786 Free PMC article.
Application of Machine Learning to Prediction of Surgical Site Infection.
Fletcher RR, Olubeko O, Sonthalia H, Kateera F, Nkurunziza T, Ashby JL, Riviello R, Hedt-Gauthier B. Fletcher RR, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:2234-2237. doi: 10.1109/EMBC.2019.8857942. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31946345
Diagnosing Post-Cesarean Surgical Site Infections in Rural Rwanda: Development, Validation, and Field Testing of a Screening Algorithm for Use by Community Health Workers.
Cherian T, Hedt-Gauthier B, Nkurunziza T, Sonderman K, Gruendl MA, Nihiwacu E, Ramadhan B, Gaju E, Nahimana E, Habiyakare C, Ntakiyiruta G, Matousek A, Riviello R, Kateera F. Cherian T, et al. Surg Infect (Larchmt). 2020 Sep;21(7):613-620. doi: 10.1089/sur.2020.062. Epub 2020 May 18. Surg Infect (Larchmt). 2020. PMID: 32423365 Free PMC article. Clinical Trial.
168 results