Search Results - Okeyo, Elisha

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  1. 1
    Machine learning to predict bacteriologic confirmation of Mycobacterium tuberculosis in infants and very young children

    Machine learning to predict bacteriologic confirmation of Mycobacterium tuberculosis in infants and very young children by Smith, Jonathan P, Milligan, Kyle, McCarthy, Kimberly D, Mchembere, Walter, Okeyo, Elisha, Musau, Susan K, Okumu, Albert, Song, Rinn, Click, Eleanor S, Cain, Kevin P

    Published in PLOS digital health
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  2. 2
    Feasibility and utility of a combined nasogastric-tube-and-string-test device for bacteriologic confirmation of pulmonary tuberculosis in young children

    Feasibility and utility of a combined nasogastric-tube-and-string-test device for bacteriologic confirmation of pulmonary tuberculosis in young children by Khambati, Nisreen, Song, Rinn, Smith, Jonathan P., Bijker, Else Margreet, McCarthy, Kimberly, Click, Eleanor S., Mchembere, Walter, Okumu, Albert, Musau, Susan, Okeyo, Elisha, Perez-Velez, Carlos M., Cain, Kevin

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  3. 3
    Tuberculosis and latent tuberculosis infection among healthcare workers in Kisumu, Kenya

    Tuberculosis and latent tuberculosis infection among healthcare workers in Kisumu, Kenya by Agaya, Janet, Nnadi, Chimeremma D., Odhiambo, Joseph, Obonyo, Charles, Obiero, Vincent, Lipke, Virginia, Okeyo, Elisha, Cain, Kevin, Oeltmann, John E.

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  4. 4
    Willingness to Take Multidrug-resistant Tuberculosis (MDR-TB) Preventive Therapy Among Adult and Adolescent Household Contacts of MDR-TB Index Cases: An International Multisite Cross-sectional Study

    Willingness to Take Multidrug-resistant Tuberculosis (MDR-TB) Preventive Therapy Among Adult and Adolescent Household Contacts of MDR-TB Index Cases: An International Multisite Cro... by Suryavanshi, Nishi, Murrill, Matthew, Gupta, Amita, Hughes, Michael, Hesseling, Anneke, Kim, Soyeon, Naini, Linda, Jones, Lynne, Smith, Betsy, Gupte, Nikhil, Dawson, Rodney, Mave, Vidya, Meshram, Sushant, Mendoza-Ticona, Alberto, Sanchez, Jorge, Kumarasamy, Nagalingeswaran, Comins, Kyla, Conradie, Francesca, Shenje, Justin, Nerette Fontain, Sandy, Garcia-Prats, Anthony, Asmelash, Aida, Nedsuwan, Supalert, Mohapi, Lerato, Lalloo, Umesh, Cristina Garcia Ferreira, Ana, Okeyo, Elisha, Swindells, Susan, Churchyard, Gavin, Shah, N Sarita

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  5. 5
    The challenges of maintaining non-COVID medicine services at Groote Schuur Hospital, Cape Town, South Africa, during COVID-19

    The challenges of maintaining non-COVID medicine services at Groote Schuur Hospital, Cape Town, South Africa, during COVID-19 by Sonderup, Mark, Spearman, Wendy, Ross, Ian, Gogela, Neliswa, Combrinck, Marc, Setshedi, Mashiko, Symons, Gregory, Wearne, Nicola, Hoosain, Shakeel, Kruger, Jean-Jacques, Mbena, Bulelwa, Boayke, Darlene, Muchenje, Tatenda, Masikati, Malcolm, Okeyo, Elisha, Makhura, Bolokang, Botha, Jean, Hlongwane, Lethabo, Ntusi, Ntobeko

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  6. 6
    Tuberculosis and latent tuberculosis infection among healthcare workers in K isumu, K enya

    Tuberculosis and latent tuberculosis infection among healthcare workers in K isumu, K enya by Agaya, Janet, Nnadi, Chimeremma D., Odhiambo, Joseph, Obonyo, Charles, Obiero, Vincent, Lipke, Virginia, Okeyo, Elisha, Cain, Kevin, Oeltmann, John E.

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  7. 7
    Prediction of Vehicle-induced Air Pollution based on Advanced Machine Learning Models

    Prediction of Vehicle-induced Air Pollution based on Advanced Machine Learning Models by Matara, Caroline, Osano, Simpson, Yusuf, Amir Okeyo, Aketch, Elisha Ochungo

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  8. 8
    Classification of Particulate Matter (PM2.5) Concentrations Using Feature Selection and Machine Learning Strategies

    Classification of Particulate Matter (PM2.5) Concentrations Using Feature Selection and Machine Learning Strategies by Matara, Caroline Mongina, Nyambane, Simpson Osano, Yusuf, Amir Okeyo, Ochungo, Elisha Akech, Khattak, Afaq

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