Elizabeth Liu

• Detection of acute dengue virus infection, with and without concurrent malaria infection, in a cohort of febrile children in Kenya, 2014–2019, by clinicians or machine learning algorithms

  Open Access•David M Vu, Amy Krystosik et al.•ARTICLE•PLOS Global Public Health•2023

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  Poor access to diagnostic testing in resource limited settings restricts surveillance for emerging infections, such as dengue virus (DENV), to clinician suspicion, based on history and exam observations alone. We investigated the ability of machine learning to detect DENV based solely on data available at the clinic visit. We extracted symptom and physical exam data from 6,208 pediatric febrile illness visits to Kenyan public health clinics from …

• What is the Ethical Impact of Gender Non-Conforming Names

  Richard Greggory Johnson, Hugo Renderos et al.•ARTICLE•Public Integrity•2021•Referencias: 44

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  Names? What is in a name? This article endeavors to investigate what is in a name. Names are an important part of an individual’s identity. Names, depending on one’s culture, defines and identifies an individual. How an individual obtains a name, who names the individual, be it the father or mother of a newborn, or even grandparents, has a lifetime impact on the named individual. There are implications when naming a newborn at birth because the n…

• What is the Ethical Impact of Gender Non-Conforming Names

  Richard Greggory Johnson, Hugo Renderos et al.•ARTICLE•Public Integrity•2021•Referencias: 44

  Añadir item

  Names? What is in a name? This article endeavors to investigate what is in a name. Names are an important part of an individual’s identity. Names, depending on one’s culture, defines and identifies an individual. How an individual obtains a name, who names the individual, be it the father or mother of a newborn, or even grandparents, has a lifetime impact on the named individual. There are implications when naming a newborn at birth because the n…

• Detection of acute dengue virus infection, with and without concurrent malaria infection, in a cohort of febrile children in Kenya, 2014–2019, by clinicians or machine learning algorithms

  Open Access•David M Vu, Amy Krystosik et al.•ARTICLE•PLOS Global Public Health•2023

  Añadir item

  Poor access to diagnostic testing in resource limited settings restricts surveillance for emerging infections, such as dengue virus (DENV), to clinician suspicion, based on history and exam observations alone. We investigated the ability of machine learning to detect DENV based solely on data available at the clinic visit. We extracted symptom and physical exam data from 6,208 pediatric febrile illness visits to Kenyan public health clinics from …

Algorithm (1 obra) · Artificial Intelligence (1 obra) · Business (1 obra) · Computer Science (1 obra) · COVID-19 epidemiological studies (1 obra) · Dengue fever (1 obra) · Dengue virus (1 obra) · Immunology (1 obra) · Internal Medicine (1 obra) · Jewish and Middle Eastern Studies (1 obra)