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@inProceedings{moradi-etal-2014-graph-197533,
title = {A Graph-Based Analysis of Medical Queries of a Swedish Health Care Portal},
abstract = {Today web portals play an increasingly important role in health care allowing information seekers to learn about diseases and treatments, and to administrate their care. Therefore, it is important that the portals are able to support this process as well as possible. In this paper, we
study the search logs of a public Swedish health portal to address the questions if health information seeking differs from other types of Internet search and if there is a potential for utilizing network analysis methods in combination with semantic annotation to gain insights into search behaviors. Using a semantic-based method and a graph-based analysis of word cooccurrences in queries, we show there is an overlap among the results indicating a potential role of these types of methods to gain insights and facilitate improved information search. In addition we show that samples, windows of a month, of search logs may be sufficient to obtain similar results as using larger windows. We also show that medical queries share the same
structural properties found for other types of information searches, thereby indicating an ability to reuse existing analysis methods for this type of search data.},
booktitle = {The Fifth International Workshop on Health Text Mining and Information Analysis (Louhi)},
author = {Moradi, Farnaz and Eklund, Ann-Marie and Kokkinakis, Dimitrios and Olovsson, Tomas and Tsigas, Philippas},
year = {2014},
ISBN = {978-1-937284-90-9},
pages = {2--10},
}
@book{eklund-2014-game-216854,
title = {The Game of Health Search},
abstract = {Almost two of three Swedes use internet to search for health related information on diseases, treatments and care givers. Mobile devices such as smartphones and tablets are increasingly used to carry out these activities, and it raises the question on how a health information portal should behave to support the needs of today’s and tomorrow’s information seekers. In this thesis we present an analysis of the use of the official health information portals 1177.se and vardguiden.se with a focus on describing the relations between seekers and portals, as expressed by the language of queries and answers. Of special interest is the role of the language as a means to establish and maintain the seekers’ trust in a portal as a complement to doctor’s visits and calls. We present a number of principles of behaviour to which we believe a portal should adhere to be trustworthy in the eyes of the seekers. We also introduce a conceptual framework with a basis in game-theoretic models of rational behaviour, and the use of lingustic error analysis and stylistics, to provide a setting for analysis of information search.},
author = {Eklund, Ann-Marie},
year = {2014},
ISBN = {978-91-87850-55-4},
}
@inProceedings{eklund-2013-challenges-189167,
title = {On Challenges with Mobile E-health – Lessons from a Game-theoretic Perspective},
abstract = {Health portals play an important role in today’s health care, and the increased mobility places demands on the portals to provide as accurate and few suggestions as possible. Often the information seekers may be in distress, lacking medical knowledge and expressing themselves in ways that make it difficult for the portal to interpret the seekers’ needs. This raises the question on how portal providers may be able both to better model, or describe, the user behaviour and to predict the impact of changes in search algorithms to address these challenges.
This paper highlights some possibilities and benefits of a theoretic framework, based on existing works on game-theoretic treatments of information retrieval and communication, to allow for both descriptive and predictive analysis of internet-based health communication. This is especially important in the context of increased mobility, demanding more accurate and fewer interactions. We also elaborate on how one of the fundamental results of game theory on equilibria may be used as a basis for improved information search. Possibly counter-intuitive, this is done not by tweaking the portal, but instead by trying to change the seekers’ behaviour towards passing more diversifying queries.},
booktitle = {Proceedings of the 22nd ACM International Conference on Information & Knowledge Management, CIKM'13},
author = {Eklund, Ann-Marie},
year = {2013},
ISBN = {978-1-4503-2263-8},
pages = {1249--1252 },
}
@inProceedings{kokkinakis-eklund-2013-query-189552,
title = {Query Logs as a Corpus.},
abstract = {This paper provides a detailed description of a large Swedish health-related query log corpus and explores means to derive useful statistics, their distributions and analytics from its content across several dimensions. Information acquisition from query logs can be useful for several purposes and potential types of users, such as terminologists, infodemiologists / epidemiologists, medical data and web analysts, specialists in NLP technologies such as information retrieval and text mining but also public officials in health and safety organizations.},
booktitle = {Corpus Linguistics 2013 : abstract book. Lancaster: UCREL},
editor = {Andrew Hardie and Robbie Love},
author = {Kokkinakis, Dimitrios and Eklund, Ann-Marie},
year = {2013},
pages = {329},
}
@inProceedings{eklund-2013-mobility-189169,
title = {Mobility and health information searches - a Swedish perspective},
abstract = {Today the first point of contact between a patient and health care is often an internet health portal - not a human. There is also a trend towards increased use of mobile devices for internet searching. We present a study of the use of mobile vs non-mobile devices when accessing the main Swedish official health portal. Our findings indicate that there is a difference in not only when people search for health information, but also the type of information searched for using different devices. We conclude that further analysis is needed to understand these differences, and consequently that the same portal solution may not suit both mobile and non-mobile health information seekers.},
booktitle = {Proceedings of the 14th world congress on medical and health informatics, MEDINFO 2013},
author = {Eklund, Ann-Marie},
year = {2013},
volume = {192},
ISBN = {978-1-61499-288-2},
pages = {1079},
}
@inProceedings{eklund-2012-prepositions-166505,
title = {Are prepositions and conjunctions necessary in health web searches?},
abstract = {People searching for information via public health web sites may differ in medical knowledge and internet experience. Hence, they may show different search behaviour with implications for both search engine optimisation and log analysis. In this paper we address the question of how prepositions and conjunctions are used in search, concluding that they do occur in different contexts, but do not impact a semantic mapping for query optimisation and analysis.},
booktitle = {Proceedings of SLTC 2012 The Fourth Swedish Language Technology Conference},
author = {Eklund, Ann-Marie},
year = {2012},
pages = {23--24},
}
@inProceedings{eklund-2012-query-166507,
title = {Why Query Annotations May Help in Providing Accurate Public Health Information},
abstract = {The mobility era has highlighted the importance of information providers to better understand the needs of the infor- mation seekers, even when the user interaction becomes less verbose. This is even more important in contexts like health care, where an understanding of the users’ language and intentions is critical to provide accurate health information. To study the used language we utilize an annotation-based method to analyze if the seekers’ language deviates from the health care professionals’, and the one found in medical terminologies and information sources. By an analysis of the use of a major public Swedish health information portal we present, in our opinion, a surprising overlap in the language used by laymen and professionals, thereby supporting the use of terminology-based annotation to facilitate improved information retrieval in this setting.},
booktitle = {ESAIR'12: Proceedings of the fifth workshop on Exploiting Semantic Annotations in Information Retrieval, 2012 Maui, Hawaii, USA},
author = {Eklund, Ann-Marie},
year = {2012},
ISBN = {978-1-4503-1717-7},
}
@inProceedings{eklund-kokkinakis-2012-drug-165309,
title = {Drug interests revealed by a public health portal},
abstract = {Online health information seeking has become an important part of people's everyday lives. However, studies have shown that many of those have problems forming effective queries. In order to develop better support and tools for assisting people in health-related query formation we have to gain a deeper understanding into their information seeking behaviour in relation to key issues, such as medication and drugs. The present study attempts to understand the semantics of the users' information needs with respect to medication-related information. Search log queries from the Swedish 1177.se health portal were automatically annotated and categorized according to relevant background knowledge sources. Understanding the semantics of information needs can enable optimization and tailoring of (official) health related information presented to the online consumer, provide better terminology support and thematic coding of the queries and in the long run better models of consumers’ information needs.
},
booktitle = {Proceedings of the SLTC-Workshop: Exploratory Query-log Analysis. Lund, Sweden.},
author = {Eklund, Ann-Marie and Kokkinakis, Dimitrios},
year = {2012},
pages = {2},
}
@inProceedings{henriksson-etal-2012-synonym-162812,
title = {Synonym extraction of medical terms from clinical text using combinations of word space models},
abstract = {In information extraction, it is useful to know if two signifiers have the same or very similar semantic content. Maintaining such information in a controlled vocabulary is, however, costly. Here it is demonstrated how synonyms of medical terms can be extracted automatically from a large corpus of clinical text using distributional semantics. By combining Random Indexing and Random Permutation, different lexical semantic aspects are captured, effectively increasing our ability to identify synonymic relations between terms. 44% of 340 synonym pairs from MeSH are success- fully extracted in a list of ten suggestions. The models can also be used to map abbreviations to their full-length forms; simple pattern-based filtering of the suggestions yields substantial improvements.},
booktitle = {5th International Symposium on Semantic Mining in Biomedicine (SMBM), 3rd-4th September, 2012, Zurich},
author = {Henriksson, Aron and Moen, Hans and Skeppstedt, Maria and Eklund, Ann-Marie and Daudaravicius, Vidas and Hassel, Martin},
year = {2012},
volume = {2012},
pages = {10--17},
}
@inProceedings{eklund-2012-tracking-162805,
title = {Tracking changes in search behaviour at a health web site},
abstract = {Nowadays, the internet is used as a means to provide the public with official information on many different topics, including health related matters and care providers. In this work we have studied a search log from the official Swedish health web site 1177.se for patterns of search behaviour over time. To improve the analysis, we mapped the queries to UMLS semantic types and MeSH categories. Our analysis shows that, as expected, diseases and health care activities are the ones of most interest, but also a clear increased interest in geographical locations in the setting of health care providers. We also note a change over time in which kinds of diseases are of interest. Finally, we conclude that this type of analysis may be useful in studies of what health related topics matter to the public, but also for design and follow-up of public information campaigns.},
booktitle = {Quality of life through quality of information, XXIV Conference of the European Federation for Medical Informatics, 2012 Pisa},
author = {Eklund, Ann-Marie},
year = {2012},
volume = {2012},
ISBN = {978-1-61499-100-7},
pages = {858--862},
}
@inProceedings{oelke-etal-2012-visual-155495,
title = {Visual Analytics and the Language of Web Query Logs - A Terminology Perspective},
abstract = {This paper explores means to integrate natural language processing methods for terminology and entity identification in medical web session logs with visual analytics techniques. The aim of the study is to examine whether the vocabulary used in queries posted to a Swedish regional health web site can be assessed in a way that will enable a terminologist or medical data analysts to instantly identify new term candidates and their relations based on significant co-occurrence patterns. We provide an example application in order to illustrate how the visualizations of co-occurrence relationships between medical and general entities occurring in such logs can be visualized, accessed and explored. To enable a visual exploration of the generated co-occurrence graphs, we employ a general purpose social network analysis tool, Visone (http://visone.info), that permits to visualize and analyze various types of graph structures. Our examples show that visual analytics based on co-occurrence analysis provides insights into the use of layman language in relation to established (professional) terminologies, which may help terminologists decide which terms to include in future terminologies. Increased understanding of the used querying language is also of interest in the context of public health web sites. The query results should reflect the intentions of the information seekers, who may express themselves in layman language that differs from the one used on the available web sites provided by medical professionals.},
booktitle = {The 15th EURALEX International Congress (European Association of Lexicography). Oslo, Norway.},
author = {Oelke, Daniela and Eklund, Ann-Marie and Marinov, Svetoslav and Kokkinakis, Dimitrios},
year = {2012},
pages = {8},
}
@inProceedings{eklund-2011-relational-143289,
title = {Relational Annotation of Scientific Medical Corpora - A Case Study},
abstract = {In life science and biomedicine much knowledge resides as unstructured information in for instance bibliographic databases. To facilitate searching and categorisation of this information the database entries are annotated with terms or keywords, describing for instance diseases, treatments and anatomy. These annotations are limited to concept level and do not describe relations between terms, for example that a given treatment may be used for a given disease, even if this information is available in both the text and terminologies.
In this work we will present a possible approach to extend term annotations with relational information to add another dimension to concept focused annotation schemas. This approach could also be used to highlight implicit information and to structure knowledge. },
booktitle = {Proceedings of LOUHI 2011, Third International Workshop on Health Document Text Mining and Information Analysis, Bled Slovenia, 6 July 2011},
author = {Eklund, Ann-Marie},
year = {2011},
pages = {27--34},
}
@inProceedings{eklund-2011-query-143287,
title = {Query Constraining Aspects of Knowledge - A Case Study},
abstract = {In this paper we present a first analysis towards better understanding of the query constraining aspects of knowledge, as expressed in the most used public medical bibliographic database MEDLINE. Our results indicate that new terms occur, but also that traditional terms are replaced by more specific ones and decrease in use as major defining keywords, even though they are still used in abstracts. In other words, as knowledge, including terminology, evolve over time, queries and search methods will have to adapt to these changes to enable finding recent as well as older research papers in databases.},
booktitle = {Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011, 11-13 May 2011, Riga Latvia},
author = {Eklund, Ann-Marie},
year = {2011},
volume = {11},
pages = {279--282},
}
@inProceedings{eklund-2011-medical-150815,
title = {Medical Knowledge Evolution - Query Constraining Aspects},
booktitle = {User Centred Networked Health Care - Proceedings of the XXIII International Conference of the European Federation for Medical Informatics (MIE), Oslo, Norway, August 28-31 2011 },
author = {Eklund, Ann-Marie},
year = {2011},
volume = {169},
ISBN = {978-1-60750-805-2},
pages = {549--553},
}