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Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential.

, , , , , , and . J. Biomed. Informatics, (2021)

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Understanding common key indicators of successful and unsuccessful cancer drug trials using a contrast mining framework on ClinicalTrials.gov., , , , , and . J. Biomed. Informatics, (March 2023)Explainable artificial intelligence in high-throughput drug repositioning for subgroup stratifications with interventionable potential., , , , , , and . J. Biomed. Informatics, (2021)Differentiating Genetic Risk Factors Between Triple Negative and Luminal Breast Cancer Subtypes Using Long Contrast Patterns Mining., , , , and . AMIA, AMIA, (2020)Drug Repositioning for Colorectal Cancer Patient Subgroups Using Exploratory Mining and Network Analysis., , , , , and . AMIA, AMIA, (2020)User and network level evaluation of VoIP over emergency ad-hoc networks., , , and . MobiMedia, ICST, (2009)Modeling human mobility in obstacle-constrained ad hoc networks., , , and . Ad Hoc Networks, 10 (3): 421-434 (2012)Energy-efficient multicasting in wireless networks with fixed node transmission power., , and . IWCMC, page 958-962. ACM, (2009)An obstacle-aware human mobility model for ad hoc networks., , , and . MASCOTS, page 1-9. IEEE Computer Society, (2009)Dynamic trust establishment in emergency ad hoc networks., , , and . IWCMC, page 26-30. ACM, (2009)Δρομολόγηση με βάση πολλαπλά κόστη σε ασύρματα αδόμητα δίκτυα. University of Patras, Greece, (2008)National Archive of PhD Theses: oai:10442/25732.