Marcus E. Kleber
Orcid: 0000-0003-0663-7275
According to our database1,
Marcus E. Kleber authored at least 9 papers
between 2014 and 2026.
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Bibliography
2026
Interpretable type 2 diabetes incidence prediction with AutoScore: A model based on standard clinical parameters.
Int. J. Medical Informatics, 2026
2023
Machine Learning Models Predict the Need of Amputation and/or Peripheral Artery Revascularization in Hypertensive Patients Within 7-Years Follow-Up.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Machine Learning Models Predict Fatal Myocardial Infarction Within 10-Years Follow-Up Utilizing Explainable AI.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Machine Learning Models to Predict Myocardial Infarction Within 10-Years Follow-up of Cardiovascular Disease Progression.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
A hybrid data harmonization workflow using word embeddings for the interlinking of heterogeneous cross-domain clinical data structures.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
Phenome-wide Association Studies on Cardiovascular Health and Fatty Acids Considering PhenotypeQuality Control Practices for Epidemiological Data.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
2017
Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals.
BioData Min., 2017
2014
EPIQ - efficient detection of SNP-SNP epistatic interactions for quantitative traits.
Bioinform., 2014