The Intermediate Data Structure (IDS) for Longitudinal Historical ...
The Intermediate Data Structure (IDS) is a common data format that is being adopted by longitudinal databases on historical populations around the world. Many of the important …
Reflections on the Intermediate Data Structure (IDS)
2021年3月3日 · This article examines four features of IDS that make it flexible and expandable: the Entity-Attribute-Value model, the relational database model, embedded metadata, and the …
The Intermediate Data Structure (IDS) for Longitudinal Historical ...
The Intermediate Data Structure (IDS) is a standard data format that has been adopted by several large longitudinal databases on historical populations. Since the publication of the first version …
Bridging Data Models in Health Care With a Novel Intermediate …
Given the heterogeneity of different query languages to access different data across and even within standards such as FHIR (eg, CQL and FHIR Search), creating an intermediate query …
Reflections on the Intermediate Data Structure (IDS) - PubMed
2021年3月31日 · This article examines four features of IDS that make it flexible and expandable: the Entity-Attribute-Value model, the relational database model, embedded metadata, and the …
Deep learning predicts gene expression as an intermediate data …
This study proposes a methodology which predicts selected gene expression values (microarray) from haematoxylin and eosin whole-slide images as an intermediate data modality to identify …
Application of a novel mathematical model to identify intermediate ...
This model correctly identifies the intermediate host species of SARS-CoV-1 and MERS, showing that it is possible to predict the intermediate host species of a given pathogen using only a …
Estimation for an Accelerated Failure Time Model with Intermediate ...
We propose a method to estimate an AFT model for survival time to the absorbing state that uses the additional data on intermediate state transition times as auxiliary information when a …
The Generalized Data Model for clinical research - PMC
To minimize the need to encode specific relationships that may not exist in the source data, we created a data model with a hierarchical structure that minimizes changes to the meaning of …
An overview of the model integration process: From pre …
In this paper, we characterize the model integration process and compare integration practices of different groups. We highlight key strategies, features, standards, and practices that can be …