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    Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence–Driven Clinical Prediction Model: Protocol fro... by Rutger van Mierlo, Bart Scheenstra, Joost Verbeek, Anke Bruninx, Petros Kalendralis, Inigo Bermejo, Andre Dekker, Arnoud van 't Hof, Marieke Spreeuwenberg, Laura Hochstenbach

    Published 2025-08-01
    “…Most of these features include goal setting, decision cards to help decide on an intervention, intervention monitoring, remote communication, and education, all accessible from one dashboard. A practice nurse or physician consults the individuals after risk calculation with the clinical prediction model and uses behavior change features, such as the decision cards, to support shared decision-making. …”
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    Dynamic Simulation of a Non-linear CSTR Using Scilab/Xcos®: a Practical Approach for Chemical Engineering Education by Luis Carlos Juárez Martínez, Javier Tovar Facio, Rocío Anchondo Granados, Rosalía Ruiz Santos, Anel Rocío Carrasco Hernández

    Published 2025-04-01
    “…The presented simulation is consistent with reference values from the literature, confirming the accuracy and reliability of the Xcos® model. DOI: https://doi.org/10.54167/tch.v19i1.1874 …”
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