投稿信息
投稿信息
審稿周期
投稿命中率
審稿費用
暫無數據
版面費用
暫無數據
中國人發(fā)表比例
2023年中國人文章占該期刊總數量22.86% (2022年為12.90%)
自引率
7.7 %
年文章數
242
NCBI查詢
偏重的研究方向
暫無數據
期刊簡介
稿件收錄要求
稿件收錄要求
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?includeImagingElectronic health recordsBiobanksEnvironmental dataSocial and behavioral dataWearable devicesSocial media 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?includeImagingElectronic health recordsBiobanksEnvironmental dataSocial and behavioral dataWearable devicesSocial media data
