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6 results on '"Cox, Ingemar J."'

1. Selecting a Subset of Queries for Acquisition of Further Relevance Judgements

Author

Hosseini, Mehdi, Cox, Ingemar J., Milic-Frayling, Natasa, Vinay, Vishwa, Sweeting, Trevor, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Amati, Giambattista, editor, and Crestani, Fabio, editor

Published
2011
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2. Measuring the Variability in Effectiveness of a Retrieval System

Author

Hosseini, Mehdi, Cox, Ingemar J., Millic-Frayling, Natasa, Vinay, Vishwa, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Cunningham, Hamish, editor, Hanbury, Allan, editor, and Rüger, Stefan, editor

Published
2010
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3. Re-ranking Documents Based on Query-Independent Document Specificity

Author

Zheng, Lei, Cox, Ingemar J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Andreasen, Troels, editor, Yager, Ronald R., editor, Bulskov, Henrik, editor, Christiansen, Henning, editor, and Larsen, Henrik Legind, editor

Published
2009
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4. Risk-Aware Information Retrieval

Author

Zhu, Jianhan, Wang, Jun, Taylor, Michael, Cox, Ingemar J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Boughanem, Mohand, editor, Berrut, Catherine, editor, Mothe, Josiane, editor, and Soule-Dupuy, Chantal, editor

Published
2009
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5. Detecting Disease Outbreaks in Mass Gatherings Using Internet Data

Author

Yom-Tov, Elad, Borsa, Diana, Cox, Ingemar J, and McKendry, Rachel A

Subjects
Original Paper, Internet, lcsh:Public aspects of medicine, infectious disease, Data Collection, Information Seeking Behavior, Saudi Arabia, lcsh:RA1-1270, data mining, lcsh:Computer applications to medicine. Medical informatics, infodemiology, Communicable Diseases, mass gatherings, United Kingdom, Disease Outbreaks, Search Engine, lcsh:R858-859.7, Humans, Recreation, Public Health Surveillance, information retrieval, Mass Behavior, Music
Abstract

BackgroundMass gatherings, such as music festivals and religious events, pose a health care challenge because of the risk of transmission of communicable diseases. This is exacerbated by the fact that participants disperse soon after the gathering, potentially spreading disease within their communities. The dispersion of participants also poses a challenge for traditional surveillance methods. The ubiquitous use of the Internet may enable the detection of disease outbreaks through analysis of data generated by users during events and shortly thereafter. ObjectiveThe intent of the study was to develop algorithms that can alert to possible outbreaks of communicable diseases from Internet data, specifically Twitter and search engine queries. MethodsWe extracted all Twitter postings and queries made to the Bing search engine by users who repeatedly mentioned one of nine major music festivals held in the United Kingdom and one religious event (the Hajj in Mecca) during 2012, for a period of 30 days and after each festival. We analyzed these data using three methods, two of which compared words associated with disease symptoms before and after the time of the festival, and one that compared the frequency of these words with those of other users in the United Kingdom in the days following the festivals. ResultsThe data comprised, on average, 7.5 million tweets made by 12,163 users, and 32,143 queries made by 1756 users from each festival. Our methods indicated the statistically significant appearance of a disease symptom in two of the nine festivals. For example, cough was detected at higher than expected levels following the Wakestock festival. Statistically significant agreement (chi-square test, P

Published
2014

6. FindZebra: A search engine for rare diseases.

Author

Dragusin, Radu, Petcu, Paula, Lioma, Christina, Larsen, Birger, Jørgensen, Henrik L., Cox, Ingemar J., Hansen, Lars Kai, Ingwersen, Peter, and Winther, Ole

Subjects
*SEARCH engines, *RARE diseases, *WORLD Wide Web, *INFORMATION resources, *COMPUTERS in medicine, *ONTOLOGY
Abstract

Abstract: Background: The web has become a primary information resource about illnesses and treatments for both medical and non-medical users. Standard web search is by far the most common interface to this information. It is therefore of interest to find out how well web search engines work for diagnostic queries and what factors contribute to successes and failures. Among diseases, rare (or orphan) diseases represent an especially challenging and thus interesting class to diagnose as each is rare, diverse in symptoms and usually has scattered resources associated with it. Methods: We design an evaluation approach for web search engines for rare disease diagnosis which includes 56 real life diagnostic cases, performance measures, information resources and guidelines for customising Google Search to this task. In addition, we introduce FindZebra, a specialized (vertical) rare disease search engine. FindZebra is powered by open source search technology and uses curated freely available online medical information. Results: FindZebra outperforms Google Search in both default set-up and customised to the resources used by FindZebra. We extend FindZebra with specialized functionalities exploiting medical ontological information and UMLS medical concepts to demonstrate different ways of displaying the retrieved results to medical experts. Conclusions: Our results indicate that a specialized search engine can improve the diagnostic quality without compromising the ease of use of the currently widely popular standard web search. The proposed evaluation approach can be valuable for future development and benchmarking. The FindZebra search engine is available at http://www.findzebra.com/. [Copyright &y& Elsevier]

Published
2013
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