Informatics and machine learning methods for health applications

The 2020 International Conference on Intelligent Biology and Medicine (ICIBM 2020) provided a multidisciplinary forum for computational scientists and experimental biologists to share recent advances on all aspects of intelligent computing, informatics and data science in biology and medicine. ICIBM...

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Detalles Bibliográficos
Autores principales: Shen, Li, Shi, Xinghua, Zhao, Zhongming, Wang, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Introduction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772401/
https://www.ncbi.nlm.nih.gov/pubmed/33380332
http://dx.doi.org/10.1186/s12911-020-01344-2
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author Shen, Li
Shi, Xinghua
Zhao, Zhongming
Wang, Kai
author_facet Shen, Li
Shi, Xinghua
Zhao, Zhongming
Wang, Kai
author_sort Shen, Li
collection PubMed
description The 2020 International Conference on Intelligent Biology and Medicine (ICIBM 2020) provided a multidisciplinary forum for computational scientists and experimental biologists to share recent advances on all aspects of intelligent computing, informatics and data science in biology and medicine. ICIBM 2020 was held as a virtual conference on August 9–10, 2020, including four live sessions with forty-one oral presentations over video conferencing. In this special issue, ten high-quality manuscripts were selected after peer-review from seventy-five submissions to represent the medical informatics and decision making aspect of the conference. In this editorial, we briefly summarize these ten selected manuscripts.
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spelling pubmed-77724012020-12-30 Informatics and machine learning methods for health applications Shen, Li Shi, Xinghua Zhao, Zhongming Wang, Kai BMC Med Inform Decis Mak Introduction The 2020 International Conference on Intelligent Biology and Medicine (ICIBM 2020) provided a multidisciplinary forum for computational scientists and experimental biologists to share recent advances on all aspects of intelligent computing, informatics and data science in biology and medicine. ICIBM 2020 was held as a virtual conference on August 9–10, 2020, including four live sessions with forty-one oral presentations over video conferencing. In this special issue, ten high-quality manuscripts were selected after peer-review from seventy-five submissions to represent the medical informatics and decision making aspect of the conference. In this editorial, we briefly summarize these ten selected manuscripts. BioMed Central 2020-12-30 /pmc/articles/PMC7772401/ /pubmed/33380332 http://dx.doi.org/10.1186/s12911-020-01344-2 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, 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 data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Introduction
Shen, Li
Shi, Xinghua
Zhao, Zhongming
Wang, Kai
Informatics and machine learning methods for health applications
title Informatics and machine learning methods for health applications
title_full Informatics and machine learning methods for health applications
title_fullStr Informatics and machine learning methods for health applications
title_full_unstemmed Informatics and machine learning methods for health applications
title_short Informatics and machine learning methods for health applications
title_sort informatics and machine learning methods for health applications
topic Introduction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772401/
https://www.ncbi.nlm.nih.gov/pubmed/33380332
http://dx.doi.org/10.1186/s12911-020-01344-2
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