vlogs_diff

This function calculates the mean standardized differences of logarithmic viral loads across time for each individual in the dataset.

Resources, tutorials, and code snippets dedicated to exploring the intersection of quantum computing and artificial intelligence (AI) in the context of analyzing Cluster of Differentiation 4 (CD4) lymphocytes and optimizing antiretroviral therapy (ART) for human immunodeficiency virus (HIV). With the emergence of quantum artificial intelligence and the development of small-scale quantum computers, there's an unprecedented opportunity to revolutionize the understanding of HIV dynamics and treatment strategies. This project leverages the R package 'qsimulatR' (Ostmeyer and Urbach, 2023, <https://CRAN.R-project.org/package=qsimulatR>), a quantum computer simulator, to explore these applications in quantum computing techniques, addressing the challenges in studying CD4 lymphocytes and enhancing ART efficacy.

Juan Pablo Acuña González

qvirus

Quantum Computing for Analyzing CD4 Lymphocytes and
Antiretroviral Therapy

vlogs_diff function

<dl><dt>vl_data</dt>
<dd>A data frame of longitudinal viral load values per individual, where rows represent patients and columns represent sequential measurements across time (e.g., years or visits).</dd></dl>

Arguments

Create Mean Standardized Differences from Logarithmic Viral Load Data — vlogs_diff

<dl>

<dt>vl_data</dt>
<dd>A data frame of longitudinal viral load values per individual, where rows represent patients and columns represent sequential measurements across time (e.g., years or visits).</dd>

</dl>

vlogs_diff: Create Mean Standardized Differences from Logarithmic Viral Load Data

Description

Usage

Value

Arguments

Examples