Measuring semantic similarity of clinical trial outcomes using deep pre-trained language representations

[1]  Jaewoo Kang,et al.  BioBERT: a pre-trained biomedical language representation model for biomedical text mining , 2019, Bioinform..

[2]  Junseok Park,et al.  Concept embedding to measure semantic relatedness for biomedical information ontologies , 2019, J. Biomed. Informatics.

[3]  Matthias Samwald,et al.  Neural sentence embedding models for semantic similarity estimation in the biomedical domain , 2019, BMC Bioinformatics.

[4]  B. Goldacre,et al.  COMPare: a prospective cohort study correcting and monitoring 58 misreported trials in real time , 2019, Trials.

[5]  Bridget T. McInnes,et al.  Association measures for estimating semantic similarity and relatedness between biomedical concepts , 2019, Artif. Intell. Medicine.

[6]  Annie A Butler,et al.  Poor statistical reporting, inadequate data presentation and spin persist despite editorial advice , 2018, PloS one.

[7]  Isabelle Boutron,et al.  Misrepresentation and distortion of research in biomedical literature , 2018, Proceedings of the National Academy of Sciences.

[8]  Bridget T. McInnes,et al.  Vector representations of multi-word terms for semantic relatedness , 2018, J. Biomed. Informatics.

[9]  M. Ghert The reporting of outcomes in randomised controlled trials , 2017, Bone & joint research.

[10]  Quinn Grundy,et al.  ‘Spin’ in published biomedical literature: A methodological systematic review , 2017, PLoS biology.

[11]  Arzucan Özgür,et al.  BIOSSES: a semantic sentence similarity estimation system for the biomedical domain , 2017, Bioinform..

[12]  D. Moher,et al.  Harms of outcome switching in reports of randomised trials: CONSORT perspective , 2017, British Medical Journal.

[13]  D. Altman,et al.  Feasibility study to examine discrepancy rates in prespecified and reported outcomes in articles submitted to The BMJ , 2016, BMJ Open.

[14]  B. Goldacre,et al.  Discrepancies Between Prespecified and Reported Outcomes , 2016, Annals of Internal Medicine.

[15]  Mohamed Ali Hadj Taieb,et al.  Computing semantic similarity between biomedical concepts using new information content approach , 2016, J. Biomed. Informatics.

[16]  I. Boutron,et al.  Interpretation of Results of Studies Evaluating an Intervention Highlighted in Google Health News: A Cross-Sectional Study of News , 2015, PloS one.

[17]  Isabelle Boutron,et al.  Classification and prevalence of spin in abstracts of non-randomized studies evaluating an intervention , 2015, BMC Medical Research Methodology.

[18]  Mark Johnson,et al.  An Improved Non-monotonic Transition System for Dependency Parsing , 2015, EMNLP.

[19]  R. Morrow,et al.  Outcome measures and case definition , 2015 .

[20]  Sally Hopewell,et al.  Impact of spin in the abstracts of articles reporting results of randomized controlled trials in the field of cancer: the SPIIN randomized controlled trial. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[21]  David Sánchez,et al.  A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain , 2014, J. Biomed. Informatics.

[22]  J. Dumville,et al.  “Spin” in wound care research: the reporting and interpretation of randomized controlled trials with statistically non-significant primary outcome results or unspecified primary outcomes , 2013, Trials.

[23]  Isabelle Boutron,et al.  Misrepresentation of Randomized Controlled Trials in Press Releases and News Coverage: A Cohort Study , 2012, PLoS medicine.

[24]  David Sánchez,et al.  Semantic similarity estimation in the biomedical domain: An ontology-based information-theoretic perspective , 2011, J. Biomed. Informatics.

[25]  Ted Pedersen,et al.  Towards a framework for developing semantic relatedness reference standards , 2011, J. Biomed. Informatics.

[26]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[27]  Terrence Adam,et al.  Semantic Similarity and Relatedness between Clinical Terms: An Experimental Study. , 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

[28]  Douglas G Altman,et al.  Reporting and interpretation of randomized controlled trials with statistically nonsignificant results for primary outcomes. , 2010, JAMA.

[29]  Petr Sojka,et al.  Software Framework for Topic Modelling with Large Corpora , 2010 .

[30]  Frederic P. Miller,et al.  Levenshtein Distance: Information theory, Computer science, String (computer science), String metric, Damerau?Levenshtein distance, Spell checker, Hamming distance , 2009 .

[31]  Ted Pedersen,et al.  UMLS-Interface and UMLS-Similarity : Open Source Software for Measuring Paths and Semantic Similarity , 2009, AMIA.

[32]  Lior Rokach,et al.  Data Mining with Decision Trees - Theory and Applications , 2007, Series in Machine Perception and Artificial Intelligence.

[33]  Ted Pedersen,et al.  Measures of semantic similarity and relatedness in the biomedical domain , 2007, J. Biomed. Informatics.

[34]  Pierre Geurts,et al.  Extremely randomized trees , 2006, Machine Learning.

[35]  Christopher K. I. Williams,et al.  Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) , 2005 .

[36]  Sophia Ananiadou,et al.  A Flexible Measure of Contextual Similarity for Biomedical Terms , 2004, Pacific Symposium on Biocomputing.

[37]  James J. Cimino,et al.  Towards the development of a conceptual distance metric for the UMLS , 2004, J. Biomed. Informatics.

[38]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[39]  Vladimir Vapnik,et al.  Support-vector networks , 2004, Machine Learning.

[40]  Carole A. Goble,et al.  Investigating Semantic Similarity Measures Across the Gene Ontology: The Relationship Between Sequence and Annotation , 2003, Bioinform..

[41]  J. Friedman Stochastic gradient boosting , 2002 .

[42]  Dekang Lin,et al.  An Information-Theoretic Definition of Similarity , 1998, ICML.

[43]  Yoav Freund,et al.  A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.

[44]  Philip Resnik,et al.  Using Information Content to Evaluate Semantic Similarity in a Taxonomy , 1995, IJCAI.

[45]  Martha Palmer,et al.  Verb Semantics and Lexical Selection , 1994, ACL.

[46]  N. Altman An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .

[47]  Roy Rada,et al.  Development and application of a metric on semantic nets , 1989, IEEE Trans. Syst. Man Cybern..

[48]  C. V. D. Malsburg,et al.  Frank Rosenblatt: Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms , 1986 .