Etin dmitry (6 risultati)
Research Data that Can be Trusted
Bouzinier, Michael; Etin, Dmitry; Khoshnevis, Naeem; Shad, Max; Yockel, Scott
Lingua: Inglese
Editore: Springer, 2026
- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 84,38
EUR 3,43 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New.
Research Data That Can Be Trusted
Bouzinier, Michael Etin, Dmitry Khoshnevis, Naeem Shad, Max Yockel, Scott
Lingua: Inglese
Editore: Springer Nature Switzerland Ag, 2026
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 77,76
EUR 11,65 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Brand New. 223 pages. 6.10x0.51x9.25 inches. In Stock.
Lingua: Inglese
Editore: Springer, 2026
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 60,34
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book we argue for the need for a new approach to data provenance and explain how recent advancements in data processing workflow automation present an opportunity to address this need. We introduce descriptive dataflow operators - a novel…approach based on integrating descriptive workflow languages with a data modeling Domain-Specific Language (DSL). We review the current workflow automation technologies and propose a DSL that supports complex data transformations, enhances reproducibility, and enables precise data lineage tracking. Within the framework we introduce the concept of descriptive dataflow operators for more flexible and expressive data transformations.Modern healthcare increasingly relies on complex data pipelines to process diverse diagnostic information, clinical records, and research data. This growing complexity, combined with emerging AI/ML applications and stricter regulatory oversight, demands sophisticated approaches to data preparation, documentation, and validation. Healthcare organizations face mounting pressure to ensure granular traceability and reproducibility of their data transformations while maintaining regulatory compliance. These challenges are particularly acute in research settings, where data provenance and quality validation become critical for scientific reproducibility and regulatory adherence.Given the increasing complexity of healthcare data, data ingestion and transformation workflows present significant technical challenges, particularly in ensuring the reproducibility and seamless integration of diverse datasets for ML and AI model development.We introduce the Dorieh Data Platform as an exemplar implementation of a DSL, providing a comprehensive framework for reproducible research. The platform's infrastructure supports robust data lineage documentation, validation, and error logging, making it a powerful tool for healthcare data analysis by ensuring transparent, auditable data processes and regulatory conformance.We show how to apply this framework to analyze healthcare claims data quality, revealing insights into inconsistencies and deficiencies. Our approach demonstrates the potential for improved data management and accountability in scientific research, underscoring the necessity for precise, reproducible data transformation methodologies to produce reliable research outcomes.
Research Data that Can be Trusted
Bouzinier, Michael; Etin, Dmitry; Khoshnevis, Naeem; Shad, Max; Yockel, Scott
Lingua: Inglese
Editore: Springer, 2026
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 84,48
EUR 7,57 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.
Research Data that Can be Trusted
Bouzinier, Michael; Etin, Dmitry; Khoshnevis, Naeem; Shad, Max; Yockel, Scott
Lingua: Inglese
Editore: Springer, 2026
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 87,13
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.
Research Data that Can be Trusted
Bouzinier, Michael; Etin, Dmitry; Khoshnevis, Naeem; Shad, Max; Yockel, Scott
Lingua: Inglese
Editore: Springer Verlag GmbH, 2026
- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 48,37
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
