Author

Mohammad Eskandarian

TU Bergakademie Freiberg

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Seyed Amir MalekpouriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 18, 2026

Interpretable Predictive Modeling for Medical Data Using Boolean Rule-aware Regression

Mohammad Eskandarian, Seyed Amir Malekpour

This paper introduces RBBR, a framework that generates interpretable Boolean rules for medical prediction, achieving strong performance and clinical relevance across six datasets.

DOI 10.64898/2026.05.14.725084

humanstatistical model

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