Health Information Retrieval

[1]  P. Jaccard.  THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE.1 , 1912 .

[2]  Hans Peter Luhn,et al.  A Statistical Approach to Mechanized Encoding and Searching of Literary Information , 1957, IBM J. Res. Dev..

[3]  R A Jydstrup,et al.  Cost of information handling in hospitals. , 1966, Health services research.

[4]  Gerard Salton,et al.  Automatic Information Organization And Retrieval , 1968 .

[5]  Gerard Salton,et al.  The SMART Retrieval System—Experiments in Automatic Document Processing , 1971 .

[6]  Karen Sparck Jones.  A statistical interpretation of term specificity and its application in retrieval , 1972 .

[7]  J J Mamlin,et al.  Combined time-motion and work sampling study in a general medicine clinic. , 1973, Medical care.

[8]  Keinosuke Fukunaga,et al.  A Branch and Bound Algorithm for Computing k-Nearest Neighbors , 1975, IEEE Transactions on Computers.

[9]  Stephen E. Robertson,et al.  Relevance weighting of search terms , 1976, J. Am. Soc. Inf. Sci..

[10]  W. Bruce Croft,et al.  Using Probabilistic Models of Document Retrieval without Relevance Information , 1979, J. Documentation.

[11]  Peter Willett,et al.  Recent trends in hierarchic document clustering: A critical review , 1988, Inf. Process. Manag..

[12]  E. J. McKinin,et al.  CINAHL and MEDLINE: a comparison of indexing practices. , 1989, Bulletin of the Medical Library Association.

[13]  W. Bruce Croft,et al.  Evaluation of an inference network-based retrieval model , 1991, TOIS.

[14]  Carolyn J. Crouch,et al.  Experiments in automatic statistical thesaurus construction , 1992, SIGIR '92.

[15]  Hans-Peter Frei,et al.  Concept based query expansion , 1993, SIGIR.

[16]  M V Olson,et al.  The human genome project. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

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

[18]  A L Rector,et al.  The GALEN project. , 1994, Computer methods and programs in biomedicine.

[19]  Ellen M. Voorhees,et al.  Query expansion using lexical-semantic relations , 1994, SIGIR '94.

[20]  Vannevar Bush,et al.  As we may think , 1945, INTR.

[21]  Jade Goldstein-Stewart,et al.  The use of MMR, diversity-based reranking for reordering documents and producing summaries , 1998, SIGIR '98.

[22]  Eric Horvitz,et al.  Patterns of search: analyzing and modeling Web query refinement , 1999 .

[23]  William R. Hersh,et al.  Filtering Web pages for quality indicators: an empirical approach to finding high quality consumer health information on the World Wide Web , 1999, AMIA.

[24]  Hsinchun Chen,et al.  Exploring the use of concept spaces to improve medical information retrieval , 2000, Decis. Support Syst..

[25]  Howard L. Bleich,et al.  Technical Milestone: Medical Subject Headings Used to Search the Biomedical Literature , 2001, J. Am. Medical Informatics Assoc..

[26]  R. Kravitz,et al.  Health information on the Internet: accessibility, quality, and readability in English and Spanish. , 2001, JAMA.

[27]  R. J. Cline,et al.  Consumer health information seeking on the Internet: the state of the art. , 2001, Health education research.

[28]  Betsy L. Humphreys,et al.  Relationships in Medical Subject Headings (MeSH) , 2001 .

[29]  M A Musen,et al.  Medical Informatics: Searching for Underlying Components , 2002, Methods of Information in Medicine.

[30]  R A Greenes,et al.  Characteristics of Consumer Terminology for Health Information Retrieval , 2002, Methods of Information in Medicine.

[31]  Elske Ammenwerth,et al.  Health care in the information society. A prognosis for the year 2013 , 2002, Int. J. Medical Informatics.

[32]  Vimla L. Patel,et al.  Usability evaluation of an experimental text summarization system and three search engines: implications for the reengineering of health care interfaces , 2002, AMIA.

[33]  Christian Köhler,et al.  What is the prevalence of health-related searches on the World Wide Web? Qualitative and quantitative analysis of search engine queries on the Internet , 2003, AMIA.

[34]  C. McDonald,et al.  LOINC, a universal standard for identifying laboratory observations: a 5-year update. , 2003, Clinical chemistry.

[35]  Lawrence M. Fagan,et al.  Medical informatics: computer applications in health care and biomedicine (Health informatics) , 2003 .

[36]  Alexa T. McCray,et al.  An Upper-Level Ontology for the Biomedical Domain , 2003, Comparative and functional genomics.

[37]  Dawid Weiss,et al.  Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition , 2004, Intelligent Information Systems.

[38]  Aurélie Névéol,et al.  Enhancing the MeSH thesaurus to retrieve French online health resources in a quality-controlled gateway. , 2004, Health information and libraries journal.

[39]  W. Bruce Croft,et al.  Combining the language model and inference network approaches to retrieval , 2004, Inf. Process. Manag..

[40]  Reiner Kraft,et al.  Mining anchor text for query refinement , 2004, WWW '04.

[41]  Yin Yang,et al.  A study of medical and health queries to web search engines. , 2004, Health information and libraries journal.

[42]  Allen C. Browne,et al.  Identifying Consumer-Friendly Display (CFD) Names for Health Concepts , 2005, AMIA.

[43]  Lois M. L. Delcambre,et al.  Using Concept Relations to Improve Ranking in Information Retrieval , 2005, AMIA.

[44]  Hinrich Schütze,et al.  Introduction to information retrieval , 2008 .

[45]  Qing Zeng-Treitler,et al.  A Text Corpora-Based Estimation of the Familiarity of Health Terminology , 2005, ISBMDA.

[46]  Ann Blandford,et al.  Digital libraries' support for the user's 'information journey' , 2005, Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05).

[47]  Qing Zeng-Treitler,et al.  Research Paper: Assisting Consumer Health Information Retrieval with Query Recommendations , 2006, J. Am. Medical Informatics Assoc..

[48]  Hangwi Tang,et al.  Googling for a diagnosis—use of Google as a diagnostic aid: internet based study , 2006, BMJ : British Medical Journal.

[49]  Alla Keselman,et al.  Exploring User Navigation during Online Health Information Seeking , 2006, AMIA.

[50]  Euripides G. M. Petrakis,et al.  Automatic document indexing in large medical collections , 2006, HIKM '06.

[51]  David Hawking,et al.  Quality and relevance of domain-specific search: A case study in mental health , 2006, Information Retrieval.

[52]  Frank Webster,et al.  Theories of the Information Society (International Library of Sociology) , 2006 .

[53]  Patrick Ruch,et al.  Model Formulation: Advancing Biomedical Image Retrieval: Development and Analysis of a Test Collection , 2006, J. Am. Medical Informatics Assoc..

[54]  Gondy Leroy,et al.  Health Information Text Characteristics , 2006, AMIA.

[55]  Xue Li,et al.  Concept-based document readability in domain specific information retrieval , 2006, CIKM '06.

[56]  Christine Urquhart,et al.  Changes in information behavior in clinical teams after introduction of a clinical librarian service. , 2007, Journal of the Medical Library Association : JMLA.

[57]  S. Lambert,et al.  Health Information—Seeking Behavior , 2007, Qualitative health research.

[58]  Stephen A. Rains,et al.  Perceptions of Traditional Information Sources and Use of the World Wide Web to Seek Health Information: Findings From the Health Information National Trends Survey , 2007, Journal of health communication.

[59]  Debra Revere,et al.  Understanding the information needs of public health practitioners: A literature review to inform design of an interactive digital knowledge management system , 2007, J. Biomed. Informatics.

[60]  Martin Dawes,et al.  Information Needs and Information-Seeking Behavior of Primary Care Physicians , 2007, The Annals of Family Medicine.

[61]  Dina Demner-Fushman,et al.  Application of Information Technology: Essie: A Concept-based Search Engine for Structured Biomedical Text , 2007, J. Am. Medical Informatics Assoc..

[62]  James Allan,et al.  Meeting of the MINDS: an information retrieval research agenda , 2007, SIGF.

[63]  Jie Zou,et al.  Structure and content analysis for html medical articles: a hidden markov model approach , 2007, DocEng '07.

[64]  Margaret E. I. Kipp.  Tagging for health information organisation and retrieval , 2007, JCDL '07.

[65]  Daniel P. Lorence,et al.  Study of Education Disparities and Health Information Seeking Behavior , 2007, Cyberpsychology Behav. Soc. Netw..

[66]  Hsin-Hsi Chen,et al.  Combining WordNet and ConceptNet for Automatic Query Expansion: A Learning Approach , 2008, AIRS.

[67]  Charles L. A. Clarke,et al.  Novelty and diversity in information retrieval evaluation , 2008, SIGIR '08.

[68]  Kathleen B. Oliver,et al.  Public health practitioners' information access and use patterns in the Maryland (USA) public health departments of Anne Arundel and Wicomico Counties. , 2008, Health information and libraries journal.

[69]  Alistair Moffat,et al.  Rank-biased precision for measurement of retrieval effectiveness , 2008, TOIS.

[70]  Louise S. Robbins,et al.  Understanding middle-aged women's health information seeking on the web: A theoretical approach , 2008 .

[71]  Joseph Sharit,et al.  Investigating the Roles of Knowledge and Cognitive Abilities in Older Adult Information Seeking on the Web , 2008, TCHI.

[72]  Pertti Vakkari,et al.  Students' search process and outcome in Medline in writing an essay for a class on evidence-based medicine , 2008, J. Documentation.

[73]  Stephen B. Johnson,et al.  A multi-level model of information seeking in the clinical domain , 2008, J. Biomed. Informatics.

[74]  Tie-Yan Liu.  Learning to Rank for Information Retrieval , 2009, Found. Trends Inf. Retr..

[75]  Charles L. A. Clarke,et al.  An Effectiveness Measure for Ambiguous and Underspecified Queries , 2009, ICTIR.

[76]  Tie-Yan Liu,et al.  Learning to rank for information retrieval , 2009, SIGIR.

[77]  W. Bruce Croft,et al.  Query reformulation using anchor text , 2010, WSDM '10.

[78]  Craig MacDonald,et al.  Exploiting query reformulations for web search result diversification , 2010, WWW '10.

[79]  Aditi Sharan,et al.  Selecting Effective Expansion Terms for Better Information Retrieval , 2010, Int. J. Comput. Sci. Appl..

[80]  Charles L. A. Clarke,et al.  Improving document clustering using Okapi BM25 feature weighting , 2011, Information Retrieval.

[81]  Hong Cheng,et al.  Coverage-based search result diversification , 2012, Information Retrieval.

[82]  Emre Velipasaoglu,et al.  Intent-based diversification of web search results: metrics and algorithms , 2011, Information Retrieval.

[83]  Craig MacDonald,et al.  Intent-aware search result diversification , 2011, SIGIR.

[84]  Claudio Carpineto,et al.  A Survey of Automatic Query Expansion in Information Retrieval , 2012, CSUR.

[85]  Ivan Titov,et al.  Inducing Crosslingual Distributed Representations of Words , 2012, COLING.

[86]  Jeffrey Dean,et al.  Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.

[87]  Sung-Hyon Myaeng,et al.  Wikipedia-based query phrase expansion in patent class search , 2013, Information Retrieval.

[88]  Andrew Trotman,et al.  Improvements to BM25 and Language Models Examined , 2014, ADCS.

[89]  Quoc V. Le,et al.  Distributed Representations of Sentences and Documents , 2014, ICML.

[90]  Jun Ye,et al.  Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses , 2015, Artif. Intell. Medicine.

[91]  Gareth J. F. Jones,et al.  Medical information retrieval: introduction to the special issue , 2016, Information Retrieval Journal.

[92]  Marie-Francine Moens,et al.  Monolingual and Cross-Lingual Information Retrieval Models Based on (Bilingual) Word Embeddings , 2015, SIGIR.

[93]  Cyril Grouin,et al.  Overview of the CLEF eHealth Evaluation Lab 2015 , 2015, CLEF.

[94]  Craig MacDonald,et al.  Search Result Diversification , 2015, Found. Trends Inf. Retr..

[95]  H. Suominen,et al.  Overview of the CLEF eHealth Evaluation Lab 2016 , 2016, CLEF.

[96]  Masaki Aono,et al.  Query subtopic diversification based on cluster ranking and semantic features , 2016, 2016 International Conference On Advanced Informatics: Concepts, Theory And Application (ICAICTA).

[97]  Heung-Seon Oh,et al.  KISTI at CLEF eHealth 2016 Task 3: Ranking Medical Documents using Word Vectors , 2016, CLEF.

[98]  René F. Kizilcec.  How Much Information?: Effects of Transparency on Trust in an Algorithmic Interface , 2016, CHI.

[99]  Yang Song,et al.  ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval , 2016, CLEF.

[100]  Ellen M. Voorhees.  Text REtrieval Conference (TREC) , 2017 .

[101]  Guido Zuccon,et al.  CLEF 2017 eHealth Evaluation Lab Overview , 2017, CLEF.

[102]  Ji-Rong Wen,et al.  Learning to Diversify Search Results via Subtopic Attention , 2017, SIGIR.

[103]  Jade Goldstein-Stewart,et al.  The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries , 1998, SIGIR Forum.

[104]  Luis Alfonso Ureña López,et al.  SINAI at CLEF eHealth 2017 Task 3 , 2017, CLEF.

[105]  Faïez Gargouri,et al.  Miracl at CLEF 2018 : Consumer Health Search Task , 2018, CLEF.

[106]  Guido Zuccon,et al.  Overview of the CLEF eHealth Evaluation Lab 2018 , 2018, CLEF.

[107]  Muhammad Anwarul Azim,et al.  Aspect-based Query Expansion for Search Results Diversification , 2018, 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR).

[108]  Pavel Pecina,et al.  CUNI team: CLEF eHealth Consumer Health Search Task 2018 , 2018, CLEF.

[109]  Akshay Deepak,et al.  Query Expansion Techniques for Information Retrieval: a Survey , 2017, Inf. Process. Manag..

[110]  Guido Zuccon,et al.  Health Cards for Consumer Health Search , 2019, SIGIR.

[111]  Shengli Wu,et al.  Fusion-based methods for result diversification in web search , 2018, Information Fusion.

[112]  Yongzhao Zhan,et al.  A Local Mean Representation-based K-Nearest Neighbor Classifier , 2019, ACM Trans. Intell. Syst. Technol..

[113]  Pavel Pecina,et al.  Term Selection for Query Expansion in Medical Cross-Lingual Information Retrieval , 2019, ECIR.

[114]  Guido Zuccon,et al.  Health Card Retrieval for Consumer Health Search: An Empirical Investigation of Methods , 2019, CIKM.

[115]  Su Chen,et al.  Self-Attention based Network For Medical Query Expansion , 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

[116]  Masaki Aono,et al.  Coverage-based query subtopic diversification leveraging semantic relevance , 2020, Knowledge and Information Systems.