Search Results - "Klausch, L Thomas"

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy by Fleuren, Lucas M., Klausch, Thomas L. T., Zwager, Charlotte L., Schoonmade, Linda J., Guo, Tingjie, Roggeveen, Luca F., Swart, Eleonora L., Girbes, Armand R. J., Thoral, Patrick, Ercole, Ari, Hoogendoorn, Mark, Elbers, Paul W. G.

“…Purpose Early clinical recognition of sepsis can be challenging. With the advancement of machine learning, promising real-time models to predict sepsis have…”
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Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock - rationale and design of a multicenter randomized controlled superiority trial by Roggeveen, Luca F, Fleuren, Lucas M, Guo, Tingjie, Thoral, Patrick, de Grooth, Harm Jan, Swart, Eleonora L, Klausch, Thomas L T, van der Voort, Peter H J, Girbes, Armand R J, Bosman, Rob J, Elbers, Paul W G

“…Antibiotic exposure is often inadequate in critically ill patients with severe sepsis or septic shock and this is associated with worse outcomes. Despite…”
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Medication adherence in older people with rheumatoid arthritis is lower according to electronic monitoring than according to pill count by Hartman, Linda, Cutolo, Maurizio, Bos, Reinhard, Opris-Belinski, Daniela, Kok, Marc R, Griep-Wentink, Hanneke J R M, Klaasen, Ruth, Allaart, Cornelia F, Bruyn, George A W, Raterman, Hennie G, Voshaar, Marieke J H, Gomes, Nuno, Pinto, Rui M A, Klausch, L Thomas, Lems, Willem F, Boers, M

“…Suboptimal medication adherence is a serious problem in the treatment of chronic inflammatory diseases. To measure medication adherence, electronic monitoring…”
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Machine learning in intensive care medicine: ready for take-off? by Fleuren, Lucas M., Thoral, Patrick, Shillan, Duncan, Ercole, Ari, Elbers, Paul W. G.

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