BioData Mining

  in Journal   Posted on September 23, 2020

Journal Ranking & Metrics

G2R Score : 1.65
G2R H-Index : 7
JCR Impact Factor : 2.672
Scopus Citescore : 5
SCIMAGO H-index : 26
Guide2Research Overall Ranking : 587

Journal Information

ISSN : 1756-0381
Publisher :
Periodicity : Bimonthly
Editors-in-Chief : Editors-in-Chief Dr Jason Moore, Managing Editor Dr Mary Regina Boland, Advisory Board Prof Bernat Soria, Associate Editors Dr Mahdi Belcaid, Editorial Board Prof Jesus Aguilar-Ruiz
Journal & Submission Website :

Top Scientists who published in this Journal

Number of top scientists* : 5
Documents published by top scientists* : 15
* Based on data published during the last three years.

Aims & Scope of the Journal

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