Výsledky vyhledávání - "Hannah Mayer"

Akademický článek

Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets

Autor: Konstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, Pejman Farhadi Ghalati, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

Publikováno v: IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 611-620 (2024)

Goal: Machine learning (ML) technologies that leverage large-scale patient data are promising tools predicting disease evolution in individual patients. However, the limited generalizability of ML models developed on single-center datasets, and their

Externí odkaz: https://doaj.org/article/44befcf235114feabf6f4ed4938e85a4

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Akademický článek

Population pharmacokinetic analysis of rivaroxaban in children and comparison to prospective physiologically‐based pharmacokinetic predictions

Autor: Stefan Willmann, Katrin Coboeken, Yang Zhang, Hannah Mayer, Ibrahim Ince, Emir Mesic, Kirstin Thelen, Dagmar Kubitza, Anthonie W. A. Lensing, Haitao Yang, Peijuan Zhu, Wolfgang Mück, Henk‐Jan Drenth, Jörg Lippert

Publikováno v: CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 10, Pp 1195-1207 (2021)

Abstract Rivaroxaban has been investigated in the EINSTEIN‐Jr program for the treatment of acute venous thromboembolism (VTE) in children aged 0 to 18 years and in the UNIVERSE program for thromboprophylaxis in children aged 2 to 8 years with conge

Externí odkaz: https://doaj.org/article/b607066a22fb4e818ec3a9900c55f325

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Akademický článek

Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets

Autor: Konstantin Sharafutdinov, Jayesh S. Bhat, Sebastian Johannes Fritsch, Kateryna Nikulina, Moein E. Samadi, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert

Publikováno v: Frontiers in Big Data, Vol 5 (2022)

Machine learning (ML) models are developed on a learning dataset covering only a small part of the data of interest. If model predictions are accurate for the learning dataset but fail for unseen data then generalization error is considered high. Thi

Externí odkaz: https://doaj.org/article/4c8c914b67c34e4eba51ceced1d34906

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Akademický článek

Multiscale classification of heart failure phenotypes by unsupervised clustering of unstructured electronic medical record data

Autor: Tasha Nagamine, Brian Gillette, Alexey Pakhomov, John Kahoun, Hannah Mayer, Rolf Burghaus, Jörg Lippert, Mayur Saxena

Publikováno v: Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)

Abstract As a leading cause of death and morbidity, heart failure (HF) is responsible for a large portion of healthcare and disability costs worldwide. Current approaches to define specific HF subpopulations may fail to account for the diversity of e

Externí odkaz: https://doaj.org/article/2355c0f45efd42518c247a2a9b65c245

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Akademický článek

Algorithmic surveillance of ICU patients with acute respiratory distress syndrome (ASIC): protocol for a multicentre stepped-wedge cluster randomised quality improvement strategy

Autor: Stefan Kluge, Gernot Marx, Christian Putensen, Danny Ammon, Silke Haferkamp, Saskia Deffge, Thomas Wendt, Daniel Tiller, André Scherag, Philipp Simon, Johannes Bickenbach, Sebastian Johannes Fritsch, Julian Benedict Kunze, Oliver Maassen, Jennifer Kistermann, Irina Lutz, Nora Kristiana Voellm, Volker Lowitsch, Richard Polzin, Konstantin Sharafutdinov, Hannah Mayer, Lars Kuepfer, Rolf Burghaus, Walter Schmitt, Joerg Lippert, Morris Riedel, Chadi Barakat, André Stollenwerk, Simon Fonck, Sven Zenker, Felix Erdfelder, Daniel Grigutsch, Rainer Kram, Susanne Beyer, Knut Kampe, Jan Erik Gewehr, Friederike Salman, Patrick Juers, Emilia Wisotzki, Sebastian Gross, Lorenz Homeister, Frank Bloos, Susanne Mueller, Julia Palm, Nora Jahn, Markus Loeffler, Tobias Schuerholz, Petra Groeber, Andreas Schuppert

Publikováno v: BMJ Open, Vol 11, Iss 4 (2021)

Introduction The acute respiratory distress syndrome (ARDS) is a highly relevant entity in critical care with mortality rates of 40%. Despite extensive scientific efforts, outcome-relevant therapeutic measures are still insufficiently practised at th

Externí odkaz: https://doaj.org/article/16921f71636846b9984cf353bd67fb35

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Akademický článek

The absence of mrp4 has no effect on the recruitment of neutrophils and eosinophils into the lung after LPS, cigarette smoke or allergen challenge.

Autor: Jürgen Schymeinsky, Hannah Mayer, Christopher Tomsic, Cornelia Tilp, John D Schuetz, Yunhai Cui, Lutz Wollin, Florian Gantner, Klaus J Erb

Publikováno v: PLoS ONE, Vol 8, Iss 4, p e61193 (2013)

The multidrug resistance protein 4 (Mrp4) is an ATP-binding cassette transporter that is capable of exporting the second messenger cAMP from cells, a process that might regulate cAMP-mediated anti-inflammatory processes. However, using LPS- or cigare

Externí odkaz: https://doaj.org/article/e2e06dc047eb4f51a34e631a7c869e56

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