Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Joseph B. Sempa"'
Publikováno v:
Frontiers in Pediatrics, Vol 11 (2023)
ObjectivesDelays in identification, resuscitation and referral have been identified as a preventable cause of avoidable severity of illness and mortality in South African children. To address this problem, a machine learning model to predict a compou
Externí odkaz:
https://doaj.org/article/d814212259d04b80904d882e7c7c93f3
Publikováno v:
Frontiers in Pediatrics, Vol 10 (2022)
ObjectivesFailures in identification, resuscitation and appropriate referral have been identified as significant contributors to avoidable severity of illness and mortality in South African children. In this study, artificial neural network models we
Externí odkaz:
https://doaj.org/article/ed0038152a5f4251a0a52bbfd703c346
Publikováno v:
Frontiers in Pediatrics, Vol 10 (2022)
ObjectivesThe performance of mortality prediction models remain a challenge in lower- and middle-income countries. We developed an artificial neural network (ANN) model for the prediction of mortality in two tertiary pediatric intensive care units (P
Externí odkaz:
https://doaj.org/article/605fe50b6f7b4e43b79e5aabab38ef09
Autor:
Wern Hann Ng, Thomas Tipih, Nigel A. Makoah, Jan-G Vermeulen, Dominique Goedhals, Joseph B. Sempa, Felicity J. Burt, Adam Taylor, Suresh Mahalingam
Publikováno v:
mBio, Vol 12, Iss 1 (2021)
COVID-19 has plagued the world since it was first identified in December 2019. Previous systematic reviews and meta-analysis were limited by various factors such as the usage of non-peer reviewed data and were also limited by the lack of clinical dat
Externí odkaz:
https://doaj.org/article/39924fddf2ca4f16bad6ecef04f89a7e
Autor:
Joseph B. Sempa, Alex Welte
IntroductionViral Load (VL) monitoring is a crucial component of patient care during antiretroviral therapy (ART) but is not routinely available in many resource-constrained settings, where millions of patients will require care for decades to come.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5d9ec212c93c2c253cfe98f7167668f
https://doi.org/10.1101/2023.01.26.23285058
https://doi.org/10.1101/2023.01.26.23285058
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0171658 (2017)
INTRODUCTION:In Sub-Saharan African (SSA) resource limited settings, Cluster of Differentiation 4 (CD4) counts continue to be used for clinical decision making in antiretroviral therapy (ART). Here, HIV-infected people often remain with CD4 counts
Externí odkaz:
https://doaj.org/article/789bf04ddb904156859a8a68c51f6328
Publikováno v:
PloS one. 17(7)
Background Testing for ‘recent HIV infection’ is common in surveillance, where only population-level estimates (of incidence) are reported. Typically, ‘recent infection’ is a category, obtained by applying a threshold on an underlying continu
BackgroundTesting for ‘recent HIV infection’ is common in surveillance, where only population-level estimates (of incidence) are reported. Typically, ‘recent infection’ is a category, obtained by applying a threshold on an underlying continuo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca24e21efddd711bc213783aad86d131
https://doi.org/10.1101/2021.09.13.21263495
https://doi.org/10.1101/2021.09.13.21263495
Publikováno v:
PLoS ONE, Vol 8, Iss 8, p e73190 (2013)
There is conflicting data on long-term CD4 immune recovery after combination antiretroviral therapy (ART) in resource-limited settings. Virologic suppression is rarely documented in cohorts from sub-Saharan Africa so objective evidence of adherence i
Externí odkaz:
https://doaj.org/article/ab5b152383714d9a858511bbd117d4b1
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 1, p e0228218 (2020)
PLoS ONE, Vol 15, Iss 1, p e0228218 (2020)
There are Challenges in statistically modelling immune responses to longitudinal HIV viral load exposure as a function of covariates. We define Bayesian Markov Chain Monte Carlo mixed effects models to incorporate priors and examine the effect of dif