The International Conference on Intelligent Biology and Medicine 2018: Medical Informatics Thematic Track (MedicalInfo2018)
Abstract In this editorial, we first summarize the 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) that was held on June 10–12, 2018 in Los Angeles, California, USA, and then briefly introduce the six research articles included in this supplement issue. At ICIBM 2018,...
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doaj-c903203a37ec4b51bad0160f5212aa232020-11-25T01:13:58ZengBMCBMC Medical Informatics and Decision Making1472-69472019-01-0119S11310.1186/s12911-019-0732-0The International Conference on Intelligent Biology and Medicine 2018: Medical Informatics Thematic Track (MedicalInfo2018)Yaoyun Zhang0Cui Tao1Yang Gong2Kai Wang3Zhongming Zhao4Center for Computational Biomedicine, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonCenter for Computational Biomedicine, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonSchool of Biomedical Informatics, The University of Texas Health Science Center at HoustonRaymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of PhiladelphiaCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at HoustonAbstract In this editorial, we first summarize the 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) that was held on June 10–12, 2018 in Los Angeles, California, USA, and then briefly introduce the six research articles included in this supplement issue. At ICIBM 2018, a special theme of Medical Informatics was dedicated to recent advances of data science in the medical domain. After peer review, six articles were selected in this thematic issue, covering topics such as clinical predictive modeling, clinical natural language processing (NLP), electroencephalogram (EEG) network analysis, and text mining in biomedical literature.http://link.springer.com/article/10.1186/s12911-019-0732-0 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yaoyun Zhang Cui Tao Yang Gong Kai Wang Zhongming Zhao |
spellingShingle |
Yaoyun Zhang Cui Tao Yang Gong Kai Wang Zhongming Zhao The International Conference on Intelligent Biology and Medicine 2018: Medical Informatics Thematic Track (MedicalInfo2018) BMC Medical Informatics and Decision Making |
author_facet |
Yaoyun Zhang Cui Tao Yang Gong Kai Wang Zhongming Zhao |
author_sort |
Yaoyun Zhang |
title |
The International Conference on Intelligent Biology and Medicine 2018: Medical Informatics Thematic Track (MedicalInfo2018) |
title_short |
The International Conference on Intelligent Biology and Medicine 2018: Medical Informatics Thematic Track (MedicalInfo2018) |
title_full |
The International Conference on Intelligent Biology and Medicine 2018: Medical Informatics Thematic Track (MedicalInfo2018) |
title_fullStr |
The International Conference on Intelligent Biology and Medicine 2018: Medical Informatics Thematic Track (MedicalInfo2018) |
title_full_unstemmed |
The International Conference on Intelligent Biology and Medicine 2018: Medical Informatics Thematic Track (MedicalInfo2018) |
title_sort |
international conference on intelligent biology and medicine 2018: medical informatics thematic track (medicalinfo2018) |
publisher |
BMC |
series |
BMC Medical Informatics and Decision Making |
issn |
1472-6947 |
publishDate |
2019-01-01 |
description |
Abstract In this editorial, we first summarize the 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) that was held on June 10–12, 2018 in Los Angeles, California, USA, and then briefly introduce the six research articles included in this supplement issue. At ICIBM 2018, a special theme of Medical Informatics was dedicated to recent advances of data science in the medical domain. After peer review, six articles were selected in this thematic issue, covering topics such as clinical predictive modeling, clinical natural language processing (NLP), electroencephalogram (EEG) network analysis, and text mining in biomedical literature. |
url |
http://link.springer.com/article/10.1186/s12911-019-0732-0 |
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