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- W1963550742 abstract "ABSTRACTThe HIV-1 viral load testing is the only definitive method for early detection of antiretroviral therapy failure. However, the HIV-1 viral load testing is not performed in many developing and underdeveloped countries due to the cost, availability and accessibility of viral load testing equipment. Such resource-limited environments use CD4 tests as an alternative. In this work, the performance of six different swarm intelligence techniques for estimation of HIV-1 viral load has been assessed using correlation and error analysis. Results demonstrate that the coupled jumping frogs/particle swarm optimization technique is more efficient in the estimation of HIV-1 viral load from CD4 cell count measurements (average estimation error = 2.42%), when compared to the other methods. This work appears to be of high clinical relevance since the resource-limited estimation of HIV-1 viral load is highly useful in developing and underdeveloped countries." @default.
- W1963550742 created "2016-06-24" @default.
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- W1963550742 date "2015-01-28" @default.
- W1963550742 modified "2023-09-26" @default.
- W1963550742 title "Comparison of Swarm Intelligence Techniques for Estimation of HIV-1 Viral Load" @default.
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- W1963550742 doi "https://doi.org/10.1080/02564602.2014.1000981" @default.
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