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BMC Bioinformatics
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April 19, 2024
Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions
Moein E Samadi, Hedieh Mirzaieazar, Alexander Mitsos, et al.
BMC Medical Informatics and Decision Making
|
October 14, 2025
GPT-4o and the quest for machine learning interpretability in ICU risk of death prediction
Moein E Samadi, Kateryna Nikulina, Sebastian Johannes Fritsch, et al.
Plos One
|
September 15, 2022
A training strategy for hybrid models to break the curse of dimensionality
Moein E Samadi, Sandra Kiefer, Sebastian Johaness Fritsch, et al.
Scientific Reports
|
March 8, 2024
A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals
Moein E Samadi, Jorge Guzman-Maldonado, Kateryna Nikulina, et al.
Frontiers in Big Data
|
November 17, 2022
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
Konstantin Sharafutdinov, Jayesh S Bhat, Sebastian Johannes Fritsch, et al.
Scientific Reports
|
December 5, 2024
Monitoring individualized glucose levels predicts risk for bradycardia in type 2 diabetes patients with chronic kidney disease: a pilot study
Pejman Farhadi Ghalati, Moein E Samadi, Marlo Verket, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 6) with videos related to
Sort By:
Page
of 1
BMC Bioinformatics
|
April 19, 2024
Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions
Moein E Samadi, Hedieh Mirzaieazar, Alexander Mitsos, et al.
BMC Medical Informatics and Decision Making
|
October 14, 2025
GPT-4o and the quest for machine learning interpretability in ICU risk of death prediction
Moein E Samadi, Kateryna Nikulina, Sebastian Johannes Fritsch, et al.
Plos One
|
September 15, 2022
A training strategy for hybrid models to break the curse of dimensionality
Moein E Samadi, Sandra Kiefer, Sebastian Johaness Fritsch, et al.
Scientific Reports
|
March 8, 2024
A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals
Moein E Samadi, Jorge Guzman-Maldonado, Kateryna Nikulina, et al.
Frontiers in Big Data
|
November 17, 2022
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
Konstantin Sharafutdinov, Jayesh S Bhat, Sebastian Johannes Fritsch, et al.
Scientific Reports
|
December 5, 2024
Monitoring individualized glucose levels predicts risk for bradycardia in type 2 diabetes patients with chronic kidney disease: a pilot study
Pejman Farhadi Ghalati, Moein E Samadi, Marlo Verket, et al.
Page
of 1