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1. www.researchgate.net › figure › H-z-relation-for-OHVH ∼ z relation for OHV dataset according to the cVPG model in ...

   www.researchgate.net › figure › H-z-relation-for-OHV

   Sep 2019. Evrim Ersin Kangal. Mustafa Salti. Oktay Aydoğdu. In the present work, we mainly discuss the variable polytropic gas (VPG henceforth) proposal, which is describing a self-gravitating...

2. researchdata.bath.ac.uk › 1462Dataset for "Smartphone scanning is a reliable and accurate ...

   researchdata.bath.ac.uk › 1462

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   4 days ago · Once complete, the scans were compiled and aligned in Artec Studio 12, and split into ten sections along their lengths. The data collected from these sections included perimeter, cross-sectional area, and total volume. A separate measurement operation was performed to gather RMSE data, for which a search distance of 15 mm was used.

3. www.sciencedirect.com › science › articleMachine learning algorithm in a caloric view point of cosmology

   www.sciencedirect.com › science › article

   Dec 1, 2019 · With the help of the statistical discussions, we see that the cVPG model is suitable for the statistical cosmology and can be used to make useful predictions for the future of the universe via the machine learning (ML henceforth) methods like the linear regression (LR henceforth) algorithm.

   • Author: E.E. Kangal, M. Salti, O. Aydogdu

   • Publish Year: 2019

4. www.geeksforgeeks.org › data-modeling-aData Modeling: A Comprehensive Guide for Analysts

   www.geeksforgeeks.org › data-modeling-a

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   Jul 16, 2024 · Data modelling is a fundamental component that facilitates the organisation, structuring, and interpretation of complicated datasets by analysts. In this tutorial we'll dive into the field of data modelling, examining its importance, the procedures involved, and answering common queries.

5. www.bigdataframework.org › knowledge › understandingUnderstanding Data Quality: Accuracy, Reliability, and ...

   www.bigdataframework.org › knowledge › understanding

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   Jul 16, 2024 · High-quality data is crucial for deriving accurate insights and making informed decisions, and is a critical component of data management. This article delves into the significance of data quality, the various aspects that define it, and methods to improve it.

6. www.imi-conception.eu › wp-content › uploadsD7.5 Report on existing common data models and proposals for ...

   www.imi-conception.eu › wp-content › uploads

   In this deliverable we describe the creation of the ConcePTION common data model (CDM) for secondary re-use of electronic health care and surveillance data which will be used for demonstration studies in WP1. We also describe current approaches and status for WP2.

7. People also ask

   Should a common data model include all data from a data source?

   • The ‘instance’ of a common data model (the specific version of data in the common data model) does not need to include all data from the data source, but at least the data required for the study protocol. This is especially relevant in countries where data access is limited to study specific datasets.

   D7.5 Report on existing common data models and proposals for Conce…

   www.imi-conception.eu/wp-content/uploads/2020/10/ConcePTION-D7.5-Report-on-existing-common-data-models-and-proposals-for-ConcePTION.pdf

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   Can an analyst use a common data model?

   • Analysts can of course always develop bespoke code to run against the common data model and utilise existing R packages for analyses. The OMOP common data model includes two standardised health economic tables (see Sect. ). The structure and contents reflect US claims data and are most useful in this setting.

   Common Problems, Common Data Model Solutions: Evidence Generati…

   www.ncbi.nlm.nih.gov/pmc/articles/PMC7746423/

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   Which data models are used for defining a table in conception cdmv2?

   • Where possible, tables in existing common data models were used as a basis upon which to define the table for ConcePTION CDMv2.0. For example, vaccination tables in the Vaccine Safety Datalink and the PEDSnet were taken as the basis for defining the vaccinations table in ConcePTION CDMv2.0.

   D7.5 Report on existing common data models and proposals for Conce…

   www.imi-conception.eu/wp-content/uploads/2020/10/ConcePTION-D7.5-Report-on-existing-common-data-models-and-proposals-for-ConcePTION.pdf

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   What are the benefits of a common data model?

   • Perhaps the main benefit of common data models is in overcoming problems caused by limited data interoperability due to the diversity in data structures, formats, and terminologies. The common data model allows analysts to develop code on a single mapped dataset, or even synthetic dataset, and then execute that code on other data.

   Common Problems, Common Data Model Solutions: Evidence Generati…

   www.ncbi.nlm.nih.gov/pmc/articles/PMC7746423/

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   What is a common data model (CDM)?

   • To describe and analyse existing data in population-based studies, ConcePTION is using “a structured and stable common data model that is filled with study-specific data”(2). This strategy implies that a Common Data Model (CDM) structure is specified, and has the potential to host all the data that may be relevant for ConcePTION studies.

   D7.5 Report on existing common data models and proposals for Conce…

   www.imi-conception.eu/wp-content/uploads/2020/10/ConcePTION-D7.5-Report-on-existing-common-data-models-and-proposals-for-ConcePTION.pdf

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   What is a common data model?

   • The common data model to be employed has been developed based upon the principles of minimum information loss and maximum transparency in derivation of study variables. Each data set (D) and each transformation step (T) is described below (see Figure 1 and Figure 2 for a schematic overview).

   D7.5 Report on existing common data models and proposals for Conce…

   www.imi-conception.eu/wp-content/uploads/2020/10/ConcePTION-D7.5-Report-on-existing-common-data-models-and-proposals-for-ConcePTION.pdf

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8. www.ncbi.nlm.nih.gov › pmc › articlesCommon Problems, Common Data Model Solutions: Evidence ...

   www.ncbi.nlm.nih.gov › pmc › articles

   Dec 18, 2020 · Common data models have the potential to overcome some of the key operational, methodological, and technical challenges of using observational data in health technology assessment (HTA), particularly by enhancing the interoperability of data and the transparency of analyses.