Advances in Databases and Information Systems

Morzy, Tadeusz; Hrder, Theo; Wrembel, Robert

doi:10.1007/s10796-017-9819-2

Cited by 12 publications

(2 citation statements)

References 21 publications

(19 reference statements)

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“…Eletronic data collection is the most used approach, as digital storage of large volumes of data has become cheaper over the last few decades and database management systems have advanced to become more palatable to users [4]. The advantage of this approach regards the large volume and accessability provided by current data-base applications.…”

Section: Introductionmentioning

confidence: 99%

A pipeline for tabular dataset formation from unstructured data provided by ACR Appropriateness Criteria guidelines

Eduardo

Loureiro

Tachibana

et al. 2022

Preprint

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Currently, data performns a critical concept for disparate human activities, from law to technology. Among data-centric technologies, clinical decision support systems (CDSS) figures out as one of the most promising for healthcare. Despite the technological advances facilitating its implementation, the maintainance of knowledge base for CDSS remains open to improvements. Here, we argue that the Appropriateness Criteria provided by ACR guidelines can be used as a open data-source that, combined with appropriate algorithms, can push forward basic research and technological developments regarding knowledge base for CDSS. Therefore, we developed a pipeline capable of forming tabular datasets from ACR guidelines, stored in a web site as textual PDF files. We also experimentally demonstrate that the proposed pipeline successfully recorvers the interested contents, and the best composition, in terms of its component algorithms, is discussed. Future research focused on algorithms flexibility in the face of PDF template updates could improve our work.

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Section: Introductionmentioning

confidence: 99%

A pipeline for tabular dataset formation from unstructured data provided by ACR Appropriateness Criteria guidelines

Eduardo

Loureiro

Tachibana

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Electronic data collection is the most used approach, as digital storage of large volumes of data has become cheaper over the last few decades and database management systems have advanced to become more palatable to users [Bellatreche et al 2018, Towbin 2019, Roh et al 2021. The advantage of this approach regards the large volume and accessibility provided by current data-base applications.…”

Section: Introductionmentioning

confidence: 99%

A pipeline for tabular dataset formation from unstructured data provided by ACR Appropriateness Criteria guidelines

Eduardo¹,

Loureiro²,

Tachibana³

et al. 2022

Anais Do XXII Simpósio Brasileiro De Computação Aplicada À Saúde (SBCAS 2022)

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Among the current data-centric technologies, clinical decision support systems (CDSS) figure out as one of the most promising for healthcare. Despite the technological advances facilitating its implementation, the maintenance of knowledge base for CDSS remains open to improvements. Here, we argue that the Appropriateness Criteria provided by ACR guidelines can be used as an open data-source that, combined with appropriate algorithms, can push forward basic research and technological developments regarding knowledge bases for CDSS. Therefore, we developed a pipeline capable of forming tabular datasets from ACR guidelines, stored in a web site in textual PDF files. We also experimentally demonstrate that the proposed pipeline successfully recovers the interested contents, and the best composition, in terms of its component algorithms, is discussed. Future research focused on algorithms flexibility in the face of PDF template updates could improve our work.

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Specification of the Data Warehouse for the Decision-Making Dimension of the Bid Process Information System

Zekri¹,

Zahaf²,

Gargouri³

2019

Proceedings of the 1st International Conference on Smart Innovation, Ergonomics and Applied Human Factors (SEAHF)

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Advances in Databases and Information Systems

Cited by 12 publications

References 21 publications

A pipeline for tabular dataset formation from unstructured data provided by ACR Appropriateness Criteria guidelines

A pipeline for tabular dataset formation from unstructured data provided by ACR Appropriateness Criteria guidelines

A pipeline for tabular dataset formation from unstructured data provided by ACR Appropriateness Criteria guidelines

Specification of the Data Warehouse for the Decision-Making Dimension of the Bid Process Information System

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