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Biomedical Informatics Insights

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Editor in Chief: John P. Pestian

Indexing & Databases: Pubmed, 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, ProQuest Biological Sciences, ProQuest Computer Science, ProQuest Engineering, ProQuest Natural Sciences, ProQuest SciTech, ProQuest Technology, Pubmed Central

Journal Directories: EBSCO A-Z

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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Combining an Expert-Based Medical Entity Recognizer to a Machine-Learning System: Methods and a Case Study (Published on 01 Aug 2013)

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Text Categorization of Heart, Lung, and Blood Studies in the Database of Genotypes and Phenotypes (dbGaP) Utilizing n-grams and Metadata Features (Published on 22 Jul 2013)

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Using Conversation Topics for Predicting Therapy Outcomes in Schizophrenia (Published on 15 Jul 2013)

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Computational Semantics in Clinical Text Supplement (Published on 24 Jun 2013)

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Computational Semantics in Clinical Text (Published on 24 Jun 2013)

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Analysis of Cross-Institutional Medication Description Patterns in Clinical Narratives (Published on 24 Jun 2013)

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Using Empirically Constructed Lexical Resources for Named Entity Recognition (Published on 24 Jun 2013)

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Towards Converting Clinical Phrases into SNOMED CT Expressions (Published on 24 Jun 2013)

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Using n-Grams for Syndromic Surveillance in a Turkish Emergency Department Without English Translation: A Feasibility Study (Published on 25 Apr 2013)

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Recognizing Scientific Artifacts in Biomedical Literature (Published on 02 Apr 2013)

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Decomposing Phenotype Descriptions for the Human Skeletal Phenome (Published on 04 Feb 2013)

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What’s In a Note: Construction of a Suicide Note Corpus (Published on 05 Nov 2012)

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Statistical and Similarity Methods for Classifying Emotion in Suicide Notes (Published on 30 Jan 2012)

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Rule-based and Lightly Supervised Methods to Predict Emotions in Suicide Notes (Published on 30 Jan 2012)

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Three Hybrid Classifiers for the Detection of Emotions in Suicide Notes (Published on 30 Jan 2012)

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Binary Classifiers and Latent Sequence Models for Emotion Detection in Suicide Notes (Published on 30 Jan 2012)

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Discovering Fine-grained Sentiment in Suicide Notes (Published on 30 Jan 2012)

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Early Fusion of Low Level Features for Emotion Mining (Published on 30 Jan 2012)

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A Hybrid System for Emotion Extraction from Suicide Notes (Published on 30 Jan 2012)

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Leveraging Psycholinguistic Resources and Emotional Sequence Models for Suicide Note Emotion Annotation (Published on 30 Jan 2012)

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Combining Lexico-semantic Features for Emotion Classification in Suicide Notes (Published on 30 Jan 2012)

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Introductory Editorial (Published on 30 Jan 2012)

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Sentiment Analysis of Suicide Notes: A Shared Task (Published on 30 Jan 2012)

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A Hybrid Model for Automatic Emotion Recognition in Suicide Notes (Published on 30 Jan 2012)

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Suicide Note Sentiment Classification: A Supervised Approach Augmented by Web Data (Published on 30 Jan 2012)

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A Hybrid Approach to Sentiment Sentence Classification in Suicide Notes (Published on 30 Jan 2012)

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Emotion Detection in Suicide Notes using Maximum Entropy Classification (Published on 30 Jan 2012)

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Fine-Grained Emotion Detection in Suicide Notes: A Thresholding Approach to Multi-Label Classification (Published on 30 Jan 2012)

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LASSA: Emotion Detection via Information Fusion (Published on 30 Jan 2012)

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Using Ensemble Models to Classify the Sentiment Expressed in Suicide Notes (Published on 30 Jan 2012)

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A Naïve Bayes Approach to Classifying Topics in Suicide Notes (Published on 30 Jan 2012)

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Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features (Published on 30 Jan 2012)

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A Combined Approach to Emotion Detection in Suicide Notes (Published on 30 Jan 2012)

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Topic Categorisation of Statements in Suicide Notes with Integrated Rules and Machine Learning (Published on 30 Jan 2012)

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Comparison of LDA and SPRT on Clinical Dataset Classifications (Published on 19 Apr 2011)

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Differential Transcriptional Changes in Mice Exposed to Chemically Distinct Diesel Samples (Published on 12 Aug 2010)

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Suicide Note Classification Using Natural Language Processing: A Content Analysis (Published on 04 Aug 2010)

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Risk Judgment by General Dental Practitioners: Rational but Uninformed (Published on 29 Apr 2010)

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A Method to Detect Differential Gene Expression in Cross-Species Hybridization Experiments at Gene  and Probe Level (Published on 05 Mar 2010)

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Enhancing Disease Surveillance Event Communication Among Jurisdictions (Published on 22 Jan 2010)

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Personalizing Drug Selection Using Advanced Clinical Decision Support (Published on 23 Jun 2009)

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Current Challenge in Consumer Health Informatics: Bridging the Gap between Access to Information and Information Understanding (Published on 03 Apr 2009)

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Avoiding Pitfalls in the Statistical Analysis of Heterogeneous Tumors (Published on 30 Mar 2009)

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HIPAA, HIPAA, Hooray? Current Challenges and Initiatives in Health Informatics in the United States (Published on 03 Dec 2008)

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Planning for Hospital IT Implementation: A New Look at the Business Case (Published on 28 Nov 2008)

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Closing the Loop: Facilitating the Use of Autopsy Information in Medical Decision Making and Managed Care (Published on 23 Jul 2008)

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Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB) (Published on 24 Jun 2008)

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Experiences from the Architectural Migration of a Joint Replacement Surgery Information System (Published on 20 May 2008)

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It's a great experience publishing with Biomedical Informatics Insights. I am particularly impressed with the in-depth and constructive comments provided by the reviewers within such a short time-frame. The typesetting was not only prompt, but most importantly, effective. In fact, this was among the very few publication experiences that I have had when no correction was needed in the author proofs. I highly recommend Biomedical Informatics Insights to both readers and prospective ...
Dr Chun Hsi Huang (Computer Science and Engineering, University of Connecticut)
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