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PIC, a paediatric-specific intensive care database
PIC (Paediatric Intensive Care) is a large paediatric-specific, single-centre, bilingual database comprising information relating to children admitted to critical care units at a large children’s hospital in China. The database is deidentified and includes vital sign measurements, medications, labor...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957490/ https://www.ncbi.nlm.nih.gov/pubmed/31932583 http://dx.doi.org/10.1038/s41597-020-0355-4 |
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author | Zeng, Xian Yu, Gang Lu, Yang Tan, Linhua Wu, Xiujing Shi, Shanshan Duan, Huilong Shu, Qiang Li, Haomin |
author_facet | Zeng, Xian Yu, Gang Lu, Yang Tan, Linhua Wu, Xiujing Shi, Shanshan Duan, Huilong Shu, Qiang Li, Haomin |
author_sort | Zeng, Xian |
collection | PubMed |
description | PIC (Paediatric Intensive Care) is a large paediatric-specific, single-centre, bilingual database comprising information relating to children admitted to critical care units at a large children’s hospital in China. The database is deidentified and includes vital sign measurements, medications, laboratory measurements, fluid balance, diagnostic codes, length of hospital stays, survival data, and more. The data are publicly available after registration, which includes completion of a training course on research with human subjects and signing of a data use agreement mandating responsible handling of the data and adherence to the principle of collaborative research. Although the PIC can be considered an extension of the widely used MIMIC (Medical Information Mart for Intensive Care) database in the field of paediatric critical care, it has many unique characteristics and can support database-based academic and industrial applications such as machine learning algorithms, clinical decision support tools, quality improvement initiatives, and international data sharing. |
format | Online Article Text |
id | pubmed-6957490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69574902020-01-22 PIC, a paediatric-specific intensive care database Zeng, Xian Yu, Gang Lu, Yang Tan, Linhua Wu, Xiujing Shi, Shanshan Duan, Huilong Shu, Qiang Li, Haomin Sci Data Data Descriptor PIC (Paediatric Intensive Care) is a large paediatric-specific, single-centre, bilingual database comprising information relating to children admitted to critical care units at a large children’s hospital in China. The database is deidentified and includes vital sign measurements, medications, laboratory measurements, fluid balance, diagnostic codes, length of hospital stays, survival data, and more. The data are publicly available after registration, which includes completion of a training course on research with human subjects and signing of a data use agreement mandating responsible handling of the data and adherence to the principle of collaborative research. Although the PIC can be considered an extension of the widely used MIMIC (Medical Information Mart for Intensive Care) database in the field of paediatric critical care, it has many unique characteristics and can support database-based academic and industrial applications such as machine learning algorithms, clinical decision support tools, quality improvement initiatives, and international data sharing. Nature Publishing Group UK 2020-01-13 /pmc/articles/PMC6957490/ /pubmed/31932583 http://dx.doi.org/10.1038/s41597-020-0355-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Zeng, Xian Yu, Gang Lu, Yang Tan, Linhua Wu, Xiujing Shi, Shanshan Duan, Huilong Shu, Qiang Li, Haomin PIC, a paediatric-specific intensive care database |
title | PIC, a paediatric-specific intensive care database |
title_full | PIC, a paediatric-specific intensive care database |
title_fullStr | PIC, a paediatric-specific intensive care database |
title_full_unstemmed | PIC, a paediatric-specific intensive care database |
title_short | PIC, a paediatric-specific intensive care database |
title_sort | pic, a paediatric-specific intensive care database |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957490/ https://www.ncbi.nlm.nih.gov/pubmed/31932583 http://dx.doi.org/10.1038/s41597-020-0355-4 |
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