Papers matching “random forest feature selection” 56
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Predicting ICU Mortality in Acute Respiratory Distress Syndrome Patients Using Machine Learning: The Predicting Outcome and STratifiCation of severity in ARDS (POSTCARDS) Study*
Jesús Villar, Jesús María González-Martín, Jerónimo Hernández-González, Miguel Ángel Armengol de la Hoz, Cristina Fernández, Carmen Martín-Rodríguez, +14 more
52citations -
Identifikation darmmikrobieller Prädiktoren für den Verlauf nach Lebertransplantation mithilfe maschinellen Lernens2025 Zeitschrift für Gastroenterologie conference-paper Biochemistry, Genetics and Molecular Biology Gut microbiota and health
L Zmuda, Zita I. T. A. Soons, Lars Kuepfer, Anna Lautz, Nicole Simone Treichel, Florian W. R. Vondran, +2 more
0citations -
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Raphael Patrick Prager, Heike Trautmann, Hao Wang, Thomas Bäck, Pascal Kerschke
17citations -
Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort Study2025 JMIR Medical Informatics article Medicine Diabetic Foot Ulcer Assessment and Management Open access
Veerle van Velze, Hendrico L Burger, Tim J. van der Steenhoven, Hani Alers, Lauren N. Goncalves, Daniël Eefting, +9 more
2citations -
MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study
Renée W. Y. Granzier, Abdalla Ibrahim, Sergey P. Primakov, Sanaz Samiei, Thiemo J. A. van Nijnatten, Maaike de Boer, +7 more
42citations -
Deep learning-based predictive modeling of PNPLA3 variant carriers using radiomics data from the UK Biobank2024 Zeitschrift für Gastroenterologie article Medicine Radiomics and Machine Learning in Medical Imaging
Yazhou Chen, Benjamin P. M. Laevens, Teresa Lemainque, Gustav Anton Müller‐Franzes, Daniel Truhn, Carolin Victoria Schneider
0citations -
Using Explainable Artificial Intelligence Models (ML) to Predict Suspected Diagnoses as Clinical Decision Support2022 Studies in health technology and informatics book-chapter Health Professions Artificial Intelligence in Healthcare Open access
Zully Ritter, Stefan Vogel, Frank Christian Schultze, Kerstin Pischek-Koch, Wiebke Schirrmeister, Felix Walcher, +4 more
6citations -
A Machine Learning Approach to Upscale Net Ecosystem Exchange to a Regional Scale: Integration of Eddy Covariance, Remote Sensing and Reanalysis Data2020 conference-abstract Environmental Science Plant Water Relations and Carbon Dynamics Open access
Oliver Reitz, Alexander Graf, Marius Schmidt, Gunnar Ketzler, Michael Leuchner
0citations -
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning2022 Annals of Intensive Care article Medicine Respiratory Support and Mechanisms Open access cited by 1 patent
Tariq A. Dam, Luca F. Roggeveen, Fuda van Diggelen, Lucas M. Fleuren, Ameet R. Jagesar, Martijn Otten, +92 more
14citations -
Development of Machine Learning Algorithms for Identifying Patients With Limited Health Literacy2024 Journal of Evaluation in Clinical Practice article Health Professions Health Literacy and Information Accessibility Open access
Dylan Koole, Oscar Yuan-Jie Shen, Amanda Lans, Tom Maarten Groot, Jorrit‐Jan Verlaan, Joseph H. Schwab
3citations