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WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset
WAVES is a large, single-center dataset comprising 9 years of high-frequency physiological waveform data from patients in intensive and acute care units at a large academic, pediatric medical center. The data comprise approximately 10.6 million hours of 1 to 20 concurrent waveforms over approximatel...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992360/ https://www.ncbi.nlm.nih.gov/pubmed/36882443 http://dx.doi.org/10.1038/s41597-023-02037-x |
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author | Miller, Daniel R. Dhillon, Gurpreet S. Bambos, Nicholas Shin, Andrew Y. Scheinker, David |
author_facet | Miller, Daniel R. Dhillon, Gurpreet S. Bambos, Nicholas Shin, Andrew Y. Scheinker, David |
author_sort | Miller, Daniel R. |
collection | PubMed |
description | WAVES is a large, single-center dataset comprising 9 years of high-frequency physiological waveform data from patients in intensive and acute care units at a large academic, pediatric medical center. The data comprise approximately 10.6 million hours of 1 to 20 concurrent waveforms over approximately 50,364 distinct patient encounters. The data have been de-identified, cleaned, and organized to facilitate research. Initial analyses demonstrate the potential of the data for clinical applications such as non-invasive blood pressure monitoring and methodological applications such as waveform-agnostic data imputation. WAVES is the largest pediatric-focused and second largest physiological waveform dataset available for research. |
format | Online Article Text |
id | pubmed-9992360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99923602023-03-09 WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset Miller, Daniel R. Dhillon, Gurpreet S. Bambos, Nicholas Shin, Andrew Y. Scheinker, David Sci Data Data Descriptor WAVES is a large, single-center dataset comprising 9 years of high-frequency physiological waveform data from patients in intensive and acute care units at a large academic, pediatric medical center. The data comprise approximately 10.6 million hours of 1 to 20 concurrent waveforms over approximately 50,364 distinct patient encounters. The data have been de-identified, cleaned, and organized to facilitate research. Initial analyses demonstrate the potential of the data for clinical applications such as non-invasive blood pressure monitoring and methodological applications such as waveform-agnostic data imputation. WAVES is the largest pediatric-focused and second largest physiological waveform dataset available for research. Nature Publishing Group UK 2023-03-07 /pmc/articles/PMC9992360/ /pubmed/36882443 http://dx.doi.org/10.1038/s41597-023-02037-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Miller, Daniel R. Dhillon, Gurpreet S. Bambos, Nicholas Shin, Andrew Y. Scheinker, David WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset |
title | WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset |
title_full | WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset |
title_fullStr | WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset |
title_full_unstemmed | WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset |
title_short | WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset |
title_sort | waves – the lucile packard children’s hospital pediatric physiological waveforms dataset |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992360/ https://www.ncbi.nlm.nih.gov/pubmed/36882443 http://dx.doi.org/10.1038/s41597-023-02037-x |
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