DTMBIO 2014: International Workshop on Data and Text Mining in Biomedical Informatics

Held each year in conjunction with one of the largest data management conferences, CIKM, the Eighth ACM International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 14) is organized to bring together researchers interested in development and application of cutting-edge biomedical and healthcare technology. The purpose of DTMBIO is to foster discussions regarding the state-of-the-art applications of data and text mining on biomedical research problems. DTMBIO 14 will help scientists navigate emerging trends and opportunities in the evolving area of informatics related techniques and problems in the context of biomedical research.

[1]  Sungwon Jung.  In-silico Interaction-Resolution Pathway Activity Quantification and Application to Identifying Cancer Subtypes , 2015, BMC Medical Informatics Decis. Mak..

[2]  Seongsoon Kim,et al.  High precision rule based PPI extraction and per-pair basis performance evaluation , 2012, DTMBIO '12.

[3]  Hojung Nam,et al.  Identification of genomic features in the classification of loss- and gain-of-function mutation , 2014, DTMBIO '14.

[4]  Lee Sael,et al.  Identifying Cancer Subtypes based on Somatic Mutation Profile , 2014, DTMBIO '14.

[5]  Richi Nayak,et al.  Injury narrative text classification using factorization model , 2015, BMC Medical Informatics and Decision Making.

[6]  Tingting Mu,et al.  Text mining for efficient search and assisted creation of clinical trials , 2011, DTMBIO '11.

[7]  Mark Stevenson,et al.  Disambiguation of medline abstracts using topic models , 2011, DTMBIO '11.

[8]  Doheon Lee,et al.  Prediction of compound-target interactions of natural products using large-scale drug and protein information , 2016, BMC Bioinformatics.

[9]  Doheon Lee,et al.  Rule-based whole body modeling for analyzing multi-compound effects , 2012, DTMBIO '12.

[10]  Ben Carterette,et al.  Predicting baby feeding method from unstructured electronic health record data , 2012, DTMBIO '12.

[11]  Joe Carthy,et al.  Exploring the effectiveness of medical entity recognition for clinical information retrieval , 2013, DTMBIO '13.

[12]  Jaehoon Choi,et al.  BOSS: a biomedical object search system , 2011, DTMBIO '11.

[13]  Lee Sael,et al.  Efficient local ligand-binding site search using landmark mds , 2013, DTMBIO '13.

[14]  Min Song,et al.  A prototype application for real-time recognition and disambiguation of clinical abbreviations , 2013, DTMBIO '13.

[15]  Timothy Baldwin,et al.  A parser-based approach to detecting modification of biomedical events , 2011, DTMBIO '11.

[16]  Karin M. Verspoor,et al.  Extracting structured information from free-text medication prescriptions using dependencies , 2012, DTMBIO '12.

[17]  Doheon Lee,et al.  Functional analysis of human whole brain regions based on gene expression , 2011, DTMBIO '11.

[18]  Sophia Ananiadou,et al.  Inferring appropriate eligibility criteria in clinical trial protocols without labeled data , 2012, DTMBIO '12.

[19]  Wellington Cabrera,et al.  Bayesian variable selection for linear regression in high dimensional microarray data , 2013, DTMBIO '13.

[20]  Doheon Lee,et al.  Inferring hidden relationships from biological literature with multi-level context terms , 2011, DTMBIO '11.

[21]  Heng Ji,et al.  Entity linking for biomedical literature , 2014, DTMBIO '14.

[22]  Sungchul Kim,et al.  Indexing methods for efficient protein 3D surface search , 2012, DTMBIO '12.

[23]  Younghoon Kim,et al.  Pathway-based classification of brain activities for alzheimer's disease analysis , 2013, DTMBIO '13.

[24]  Muhammad N Anwar,et al.  Data mining of audiology patient records: factors influencing the choice of hearing aid type , 2011, DTMBIO '11.

[25]  Agata Filipowska,et al.  Lexicon-free and context-free drug names identification methods using hidden markov models and pointwise mutual information , 2012, DTMBIO '12.

[26]  Olivier Curé,et al.  Refining health outcomes of interest using formal concept analysis and semantic query expansion , 2013, DTMBIO '13.

[27]  Younghoon Kim,et al.  Discriminatory Analysis of Alzheimer's Disease through pathway Activity inference in the Resting-State brain , 2014, DTMBIO '14.

[28]  Lee Sael,et al.  Breast and prostate cancer expression similarity analysis by iterative SVM based ensemble gene selection , 2013, DTMBIO '13.

[29]  Hune Cho,et al.  On supporting efficient updates of regular expression indexes in RDF databases , 2011, DTMBIO '11.

[30]  Min Song,et al.  BoDBES: a boosted dictionary-based biomedical entity spotter , 2013, DTMBIO '13.

[31]  Wen-Yang Lin,et al.  Privacy Preserving Data Anonymization of Spontaneous ADE Reporting System Dataset , 2015, DTMBIO@CIKM.

[32]  Paloma Martínez,et al.  Combining dictionaries and ontologies for drug name recognition in biomedical texts , 2013, DTMBIO '13.

[33]  Bumki Min,et al.  Inference of Disease E3s from Integrated Functional Relation Network , 2014, DTMBIO '14.

[34]  Hojung Nam,et al.  Prognostic Factor Analysis for Breast Cancer Using Gene Expression Profiles , 2015, BMC Medical Informatics and Decision Making.

[35]  Olga Patterson,et al.  Document sublanguage clustering to detect medical specialty in cross-institutional clinical texts , 2013, DTMBIO '13.

[36]  Justin Powlowski,et al.  Semantic text mining for lignocellulose research , 2011, DTMBIO '11.

[37]  Sanghyun Park,et al.  Protein complex prediction via bottleneck-based graph partitioning , 2012, DTMBIO '12.

[38]  Yonghwan Kim,et al.  Grounded Feature Selection for Biomedical Relation Extraction by the Combinative Approach , 2014, DTMBIO '14.

[39]  Doheon Lee,et al.  TNMCA: generation and application of network motif based inference models for drug repositioning , 2012, DTMBIO '12.

[40]  Hua Xu,et al.  Clinical entity recognition using structural support vector machines with rich features , 2012, DTMBIO '12.

[41]  Karin M. Verspoor,et al.  Extraction of Fine-grained Semantic Relations for the Human Variome , 2015, DTMBIO@CIKM.

[42]  Yelena Yesha,et al.  Finding associations among SNPS for prostate cancer using collaborative filtering , 2012, DTMBIO '12.

[43]  Taeho Hwang,et al.  Identification of Coexpressed Gene Modules across Multiple Brain Diseases by a Biclustering Analysis on Integrated Gene Expression Data , 2014, DTMBIO '14.

[44]  Hojung Nam,et al.  Identification of a Specific Base Sequence of Pathogenic E. Coli through a Genomic Analysis , 2014, DTMBIO '14.

[45]  Sungji Choo,et al.  Systematic Identification of Context-dependent Conflicting Information in Biological Pathways , 2014, DTMBIO '14.

[46]  Martin Strauch,et al.  Fast PCA for processing calcium-imaging data from the brain of drosophila melanogaster , 2011, DTMBIO '11.

[47]  Mark Stevenson,et al.  The Effect of Word Sense Disambiguation Accuracy on Literature Based Discovery , 2015, DTMBIO@CIKM.

[48]  Kyu-Baek Hwang,et al.  Keyphrase extraction in biomedical publications using mesh and intraphrase word co-occurrence information , 2011, DTMBIO '11.