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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Publicly available medical text data with authentic quality

Authors: Kagawa, Rina; Baba, Yukino; Tsurushima, Hideo;

Publicly available medical text data with authentic quality

Abstract

This dataset is the public medical text record (progress notes) written in Japanese. Any researchers can use this dataset without privacy issues. CC BY-NC 4.0 crowd.zip: 9,756 pseudo progress notes written by crowd workers crowd_evaluated.zip: 83 pseudo progress notes with authentic quality written by crowd workers MD.zip: 19 pseudo progress notes written by medical doctors Reference: Kagawa, R., Baba, Y., & Tsurushima, H. (2021, December). A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 3534-3543). IEEE. http://hdl.handle.net/2241/0002002333 The supplemental files of the paper are here: https://github.com/rinabouk/HMData2021

{"references": ["Kagawa, R., Baba, Y., & Tsurushima, H. (2021, December). A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds. In 2021 IEEE International Conference on Big Data (Big Data) (pp. 3534-3543). IEEE. http://hdl.handle.net/2241/0002002333"]}

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Keywords

progress notes, Japanese, document, hospital, natural language processing, clinical notes, privacy, medical, NLP, clinical, medical text data

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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