Results 31 to 40 of about 8,566,693 (290)

A Semantic Transformation Methodology for the Secondary Use of Observational Healthcare Data in Postmarketing Safety Studies

open access: yesFrontiers in Pharmacology, 2018
Background: Utilization of the available observational healthcare datasets is key to complement and strengthen the postmarketing safety studies. Use of common data models (CDM) is the predominant approach in order to enable large scale systematic ...
Anil Pacaci   +6 more
doaj   +1 more source

Kinematic artifacts in prestack depth migration. [PDF]

open access: yes, 2004
Strong refraction of waves in the migration velocity model introduces kinematic artifacts¿coherent events not corresponding to actual reflectors¿into the image volumes produced by prestack depth migration applied to individual data bins.
Stolk, C.C., Symes, W.W.
core   +4 more sources

Improved model identification for nonlinear systems using a random subsampling and multifold modelling (RSMM) approach [PDF]

open access: yes, 2007
In nonlinear system identification, the available observed data are conventionally partitioned into two parts: the training data that are used for model identification and the test data that are used for model performance testing. This sort of ‘hold-out’
Billings, S.A., Wei, H.L.
core   +5 more sources

Real-World Evidence Gathering in Oncology: The Need for a Biomedical Big Data Insight-Providing Federated Network

open access: yesFrontiers in Medicine, 2019
Moving toward new adaptive pathways for the development and access to innovative medicines implies that real-world data (RWD) collected throughout the medicinal product life cycle is becoming increasingly important.
Tine Geldof   +4 more
doaj   +1 more source

Factors affecting the changes in antihypertensive medications in patients with hypertension

open access: yesFrontiers in Cardiovascular Medicine, 2022
As frequent changes in anti-hypertensive (HTN) medications may reduce adherence to the treatments, identifying modifiable factors leading to changes in anti-HTN medications can help clinicians optimize treatment strategies for individual patients.
Tae Kyu Chung   +14 more
doaj   +1 more source

Establishment of the Optimal Common Data Model Environment for EMR Data Considering the Computing Resources of Medical Institutions

open access: yesApplied Sciences, 2021
Electronic medical record (EMR) data vary between institutions. These data should be converted into a common data model (CDM) for multi-institutional joint research. To build the CDM, it is essential to integrate the EMR data of each hospital and load it
Tong Min Kim   +5 more
doaj   +1 more source

The Hydra Common Data Model

open access: yes, 2015
One of the many successes of the Hydra community is the fundamental notion from which its name is derived—the concept of many interfaces (“heads”) over top of a single repository (the “body”). The recent release of Fedora 4, with its internal RDF-centric model, has spurred efforts for a community-wide model of collections and works, such that the heads
Cowles, Esme   +2 more
openaire   +1 more source

Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective

open access: yes, 2018
This paper presents a Lisp architecture for a portable NLP system, termed LAPNLP, for processing clinical notes. LAPNLP integrates multiple standard, customized and in-house developed NLP tools.
Luo, Yuan, Szolovits, Peter
core   +1 more source

Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data [PDF]

open access: yesGenomics & Informatics, 2019
The usage of controlled biomedical vocabularies is the cornerstone that enables seamless interoperability when using a common data model across multiple data sites.
Juan M. Banda
doaj   +1 more source

Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research [PDF]

open access: yesHealthcare Informatics Research, 2016
ObjectivesA distributed research network (DRN) has the advantages of improved statistical power, and it can reveal more significant relationships by increasing sample size.
Dukyong Yoon   +8 more
doaj   +1 more source

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