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Ask Editor in ChiefEditor in Chief: John P. Pestian
Aims & Scope: Biomedical Informatics Insights is an international, open access, peer reviewed journal which consi... more
Indexing & Databases: Pubmed, CAB Abstracts, CABI Global Health, Chinese Electronic Periodical Service, Directory of Open Access Journals, EBSCO Academic Search Complete, Gale Academic OneFile, Gale Health Reference Centre, Gale InfoTrac Custom Journals, Illustrata-Natural Science, Illustrata-Technology, Index Copernicus, OAlster, ProQuest Biological Sciences, ProQuest Computer Science, ProQuest Engineering, ProQuest Natural Sciences, ProQuest SciTech, ProQuest Technology, Pubget, Pubmed Central, Socolar
Journal Directories: Academic Journals Database, Cabell's Computer Science, Cabell's Health Administration, EBSCO A-Z, JournalSeek, JournalTOCs, OAJSE, Pubshub, SafetyLit, Scirus, Ulrich's Periodicals
Processing Speed: Blind peer review by minimum of two expert reviewers and independent editorial decision within three to four weeks. Publication within average four weeks following acceptance.
ISSN: 1178-2226
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Emotion Detection in Suicide Notes with Machine Learning Tools (90526 Views since 31/01/2012)
In this special issue of Biomedical Informatics Insights we present the results of a shared task dedicated to finding emotions in suicide notes with machine learning tools. Shared tasks are not new, but conducting this type of sentiment analysis with this amount of data is.
A total of 1278 notes that were written by people just prior to dying by suicide were annotated by 160 vested volunteers. Each note was read by three different volunteers and then annotated based on an emotional schema that included: abuse, anger, blame, fear, guilt, hopelessness, sorrow, forgiveness, happiness, peacefulness, hopefulness, love, pride, thankfulness, instructions, and information. These annotated notes formed the corpus required by the machine learning methods.
Computational Semantics in Clinical Text (17403 Views since 25/06/2013)
This special issue of Biomedical Informatics Insights presents the full paper proceedings of the first workshop on Computational Semantics in Clinical Text (CSCT), held in 2013.
The publication process was efficient and well-organized. I am pleased with my decision to submit my manuscript to Biomedical Informatics Insights and highly recommend others to submit their work to the journal.
All authors are surveyed after their articles are published. Authors are asked to rate their experience in a variety of areas, and their responses help us to monitor our performance. Presented here are their responses in some key areas. No 'poor' or 'very poor' responses were received; these are represented in the 'other' category.See Our Results
Copyright © 2014 Libertas Academica Ltd (except open access articles and accompanying metadata and supplementary files.)
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