期刊信息

BioData Mining

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影响因子:
6.1
出版商:
Springer
ISSN:
1756-0381
浏览:
17124
关注:
0

征稿

BioData Mining is an academic journal published by Springer. (ISSN 1756-0381, impact factor 6.1).

Aims and scope BioData Mining is an open access, open peer-reviewed, informatics journal encompassing research on all aspects of Artificial Intelligence (AI), Machine Learning, and Visual Analytics, applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, genomic, metabolomic data and/or electronic health records, social determinants of health, and environmental exposure data. Topical areas include, but are not limited to: Development, evaluation, and application of novel data mining and machine learning algorithms. Adaptation, evaluation, and application of traditional data mining and machine learning algorithms. Open-source software for the application of data mining and machine learning algorithms. Design, development and integration of databases, software and web services for the storage, management, retrieval, and analysis of data from large scale studies. Pre-processing, post-processing, modeling, and interpretation of data mining and machine learning results for biological interpretation and knowledge discovery. Data types include Imaging Electronic health records Biobanks Environmental data Social and behavioral data Wearable devices Social media data
由 Dou Sun 最后更新于

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CCFICOREQUALIS简称全称截稿日期通知日期会议日期
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