Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.
© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 23. Dezember 2017)
1Luo, P. ; Chen, K. ; Wu, C. ; Li, Y.: Exploring the social influence of multichannel access in an online health community.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.98-109.
Abstract: Social influence has a great impact on human behavior, which has been widely investigated in various research fields. Even so, it has rarely been investigated in the online health community. In this paper, we focus on the multichannel access in online health communities, defining social influence as the average degree of multichannel access to a physician's colleagues. Based on the multinomial logistic regression model, we examined the direct effects of social influence and patients' rating to multichannel access. In addition, we explored the moderating effect of social influence on the relationship between patients' rating and multichannel access in online health communities. The results of the experiment and robustness testing support the propositions that social influence and patients' rating significantly and positively affect multichannel access in an online health community. The moderating effect of social influence is negative and significantly influences the accessible channels provided by the focal physician. This research contributes to the literature concerning online health communities, social influence, and multichannel access; it also has practical implications.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23928/full.
2Lu, T. ; Xu, Y.(C.) ; Wallace, S.: Internet usage and patient's trust in physician during diagnoses : a knowledge power perspective.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.110-120.
Abstract: Does patients' Internet search of disease information affect their trust in physicians during diagnosis? This study proposes a research model from a knowledge power perspective, that is, Internet search affects patients' perception of their knowledge level. Our empirical study of more than 400 subjects suggests that for patients who searched online for disease information, the inconsistency between their self-diagnosis expectations and their physician's diagnosis reduces their trust in their physician. The effect is stronger for those who spent more time on Internet search. Patients with chronic conditions are less affected by the inconsistency, as are patients of physicians with a higher professional status. This study also found that physicians' interaction quality in the diagnosis process-how well they communicate with their patient-still plays a dominant role in gaining patient's trust. This finding suggests that even in the high-tech age, high-touch remains an important factor to physician-patient trust.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23920/full.
3Lu, K. ; Mao, J. ; Li, G.: Toward effective automated weighted subject indexing : a comparison of different approaches in different environments.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.121-133.
Abstract: Subject indexing plays an important role in supporting subject access to information resources. Current subject indexing systems do not make adequate distinctions on the importance of assigned subject descriptors. Assigning numeric weights to subject descriptors to distinguish their importance to the documents can strengthen the role of subject metadata. Automated methods are more cost-effective. This study compares different automated weighting methods in different environments. Two evaluation methods were used to assess the performance. Experiments on three datasets in the biomedical domain suggest the performance of different weighting methods depends on whether it is an abstract or full text environment. Mutual information with bag-of-words representation shows the best average performance in the full text environment, while cosine with bag-of-words representation is the best in an abstract environment. The cosine measure has relatively consistent and robust performance. A direct weighting method, IDF (Inverse Document Frequency), can produce quick and reasonable estimates of the weights. Bag-of-words representation generally outperforms the concept-based representation. Further improvement in performance can be obtained by using the learning-to-rank method to integrate different weighting methods. This study follows up Lu and Mao (Journal of the Association for Information Science and Technology, 66, 1776-1784, 2015), in which an automated weighted subject indexing method was proposed and validated. The findings from this study contribute to more effective weighted subject indexing.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23912/full.
Themenfeld: Automatisches Indexieren ; Indexierungsstudien
4Jones, L.M. ; Wright, K.D. ; Wallace, M.K. ; Veinot, T.: "Take an opportunity whenever you get it" : information sharing among African-American women with hypertension.
In: Journal of the Association for Information Science and Technology. 69(2018) no.1, S.168-171.
Abstract: Nearly half of African-American women have hypertension, which increases their risk for cardiovascular disease and stroke. A plethora of consumer health information products and services exist to inform people with hypertension and to promote self-management among them. Promotion of information sharing by African-American women represents a promising, culturally applicable strategy for consumer health information services focused on hypertension self-management. Yet how African-American women share hypertension information with others is unclear. The purpose of this qualitative, descriptive study was to examine practices of information sharing in African-American women with hypertension. Thirteen women (mean age?=?73, SD?=?9.87) participated in one of 2 focus groups held at an urban community health center. Thematic analysis revealed that the women shared information about how they self-managed their blood pressure i) with female family members and friends, ii) about ways in which they adapted self-management strategies to work for them, iii) mostly in group settings, and iv) because they wanted to prevent others from suffering and reinforce their own knowledge about hypertension self-management. New findings emerged regarding assessing "readiness" for information. Study findings will be used to inform the design of an information-sharing intervention to support self-management of hypertension in African-American women.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23923/full.
5Moskovitch, R. ; Wang, F. ; Pei, J. ; Friedman, C.: JASIST special issue on biomedical information retrieval : Editorial.
In: Journal of the Association for Information Science and Technology. 68(2017) no.11, S.2525-2528.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23972/full.
Wissenschaftsfach: Biochemie ; Medizin
6Panzer, M.: Increasing patient findability of medical research : annotating clinical trials using standard vocabularies.
In: Bulletin of the Association for Information Science and Technology. 43(2017) no.2, S.40-43.
Abstract: Multiple groups at Mayo Clinic organize knowledge with the aid of metadata for a variety of purposes. The ontology group focuses on consumer-oriented health information using several controlled vocabularies to support and coordinate care providers, consumers, clinical knowledge and, as part of its research management, information on clinical trials. Poor findability, inconsistent indexing and specialized language undermined the goal of increasing trial participation. The ontology group designed a metadata framework addressing disorders and procedures, investigational drugs and clinical departments, adopted and translated the clinical terminology of SNOMED CT and RxNorm vocabularies to consumer language and coordinated terminology with Mayo's Consumer Health Vocabulary. The result enables retrieval of clinical trial information from multiple access points including conditions, procedures, drug names, organizations involved and trial phase. The jump in inquiries since the search site was revised and vocabularies were modified show evidence of success.
Inhalt: DOI: 10.1002/bul2.2017.1720430213.
Themenfeld: Semantische Interoperabilität
7Tamine, L. ; Chouquet, C.: On the impact of domain expertise on query formulation, relevance assessment and retrieval performance in clinical settings.
In: Information processing and management. 53(2017) no.2, S.332-350.
Abstract: The large volumes of medical information available on the web may provide answers for a wide range of users attempting to solve health-related problems. While experts generally utilize reliable resources for diagnosis search and professional development, novices utilize different (social) web resources to obtain information that helps them manage their health or the health of people who they care for. A diverse number of related search topics address clinical diagnosis, advice searching, information sharing, connecting with experts, etc. This paper focuses on the extent to which expertise can impact clinical query formulation, document relevance assessment and retrieval performance in the context of tailoring retrieval models and systems to experts vs. non-experts. The results show that medical domain expertise 1) plays an important role in the lexical representations of information needs; 2) significantly influences the perception of relevance even among users with similar levels of expertise and 3) reinforces the idea that a single ground truth does not exist, thereby leading to the variability of system rankings with respect to the level of user's expertise. The findings of this study presents opportunities for the design of personalized health-related IR systems, but also for providing insights about the evaluation of such systems.
Inhalt: Vgl.: http://www.sciencedirect.com/science/article/pii/S030645731630303X [http://dx.doi.org/10.1016/j.ipm.2016.11.004].
8Rowley, J. ; Johnson, F. ; Sbaffi, L.: Gender as an influencer of online health information-seeking and evaluation behavior.
In: Journal of the Association for Information Science and Technology. 68(2017) no.1, S.36-47.
Abstract: This article contributes to the growing body of research that explores the significance of context in health information behavior. Specifically, through the lens of trust judgments, it demonstrates that gender is a determinant of the information evaluation process. A questionnaire-based survey collected data from adults regarding the factors that influence their judgment of the trustworthiness of online health information. Both men and women identified credibility, recommendation, ease of use, and brand as being of importance in their trust judgments. However, women also take into account style, while men eschew this for familiarity. In addition, men appear to be more concerned with the comprehensiveness and accuracy of the information, the ease with which they can access it, and its familiarity, whereas women demonstrate greater interest in cognition, such as the ease with which they can read and understand the information. These gender differences are consistent with the demographic data, which suggest that: women consult more types of sources than men; men are more likely to be searching with respect to a long-standing health complaint; and, women are more likely than men to use tablets in their health information seeking. Recommendations for further research to better inform practice are offered.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23597/full.
9Müller, B. ; Poley, C. ; Pössel, J. ; Hagelstein, A. ; Gübitz, T.: LIVIVO - the vertical search engine for life sciences.
In: Datenbank Spektrum. 2017, S.1-6. [doi:10.1007/s13222-016-0245-2].
Abstract: The explosive growth of literature and data in the life sciences challenges researchers to keep track of current advancements in their disciplines. Novel approaches in the life science like the One Health paradigm require integrated methodologies in order to link and connect heterogeneous information from databases and literature resources. Current publications in the life sciences are increasingly characterized by the employment of trans-disciplinary methodologies comprising molecular and cell biology, genetics, genomic, epigenomic, transcriptional and proteomic high throughput technologies with data from humans, plants, and animals. The literature search engine LIVIVO empowers retrieval functionality by incorporating various literature resources from medicine, health, environment, agriculture and nutrition. LIVIVO is developed in-house by ZB MED - Information Centre for Life Sciences. It provides a user-friendly and usability-tested search interface with a corpus of 55 Million citations derived from 50 databases. Standardized application programming interfaces are available for data export and high throughput retrieval. The search functions allow for semantic retrieval with filtering options based on life science entities. The service oriented architecture of LIVIVO uses four different implementation layers to deliver search services. A Knowledge Environment is developed by ZB MED to deal with the heterogeneity of data as an integrative approach to model, store, and link semantic concepts within literature resources and databases. Future work will focus on the exploitation of life science ontologies and on the employment of NLP technologies in order to improve query expansion, filters in faceted search, and concept based relevancy rankings in LIVIVO.
Inhalt: Vgl.: http://link.springer.com/article/10.1007%2Fs13222-016-0245-2.
Themenfeld: Information Gateway
Wissenschaftsfach: Biologie ; Medizin
10St. Jean, B.: Factors motivating, demotivating, or impeding information seeking and use by people with type 2 diabetes : a call to work toward preventing, identifying, and addressing incognizance.
In: Journal of the Association for Information Science and Technology. 68(2017) no.2, S.309-320.
Abstract: Type 2 diabetes has grown increasingly prevalent over recent decades, now affecting nearly 400 million people worldwide; however, nearly half of these individuals have no idea they have it. Consumer health information behavior (CHIB), which encompasses people's health-related information needs as well as the ways in which they interact (or do not interact) with health-related information, plays an important role in people's ability to prevent, cope with, and successfully manage a serious chronic disease across time. In this mixed-method longitudinal study, the CHIB of 34 people with type 2 diabetes is explored with the goal of identifying the factors that motivate, demotivate, or impede their diabetes-related information seeking and use. The findings reveal that while these processes can be motivated by many different factors and can lead to important benefits, there are significant barriers (such as "incognizance," defined herein as having an information need that one is not aware of) that may demotivate or impede their information seeking and use. The implications of these findings are discussed, focusing on how we might work toward preventing, identifying, and addressing incognizance among this population, ensuring they have the information they need when it can be of the most use to them.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23652/full.
11Genuis, S.K. ; Bronstein, J.: Looking for "normal" : sense making in the context of health disruption.
In: Journal of the Association for Information Science and Technology. 68(2017) no.3, S.750-761.
Abstract: This investigation examines perceptions of normality emerging from two distinct studies of information behavior associated with life disrupting health symptoms and theorizes the search for normality in the context of sense making theory. Study I explored the experiences of women striving to make sense of symptoms associated with menopause; Study II examined posts from two online discussion groups for people with symptoms of obsessive compulsive disorder. Joint data analysis demonstrates that normality was initially perceived as the absence of illness. A breakdown in perceived normality because of disruptive symptoms created gaps and discontinuities in understanding. As participants interacted with information about the experiences of health-challenged peers, socially constructed notions of normality emerged. This was internalized as a "new normal." Findings demonstrate normality as an element of sense making that changes and develops over time, and experiential information and social contexts as central to health-related sense making. Re-establishing perceptions of normality, as experienced by health-challenged peers, was an important element of sense making. This investigation provides nuanced insight into notions of normality, extends understanding of social processes involved in sense making, and represents the first theorizing of and model development for normality within the information science and sense making literature.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23715/full.
12Zhitomirsky-Geffet, M. ; Erez, E.S. ; Bar-Ilan, J.: Toward multiviewpoint ontology construction by collaboration of non-experts and crowdsourcing : the case of the effect of diet on health.
In: Journal of the Association for Information Science and Technology. 68(2017) no.3, S.681-694.
Abstract: Domain experts are skilled in buliding a narrow ontology that reflects their subfield of expertise based on their work experience and personal beliefs. We call this type of ontology a single-viewpoint ontology. There can be a variety of such single viewpoint ontologies that represent a wide spectrum of subfields and expert opinions on the domain. However, to have a complete formal vocabulary for the domain they need to be linked and unified into a multiviewpoint model while having the subjective viewpoint statements marked and distinguished from the objectively true statements. In this study, we propose and implement a two-phase methodology for multiviewpoint ontology construction by nonexpert users. The proposed methodology was implemented for the domain of the effect of diet on health. A large-scale crowdsourcing experiment was conducted with about 750 ontological statements to determine whether each of these statements is objectively true, viewpoint, or erroneous. Typically, in crowdsourcing experiments the workers are asked for their personal opinions on the given subject. However, in our case their ability to objectively assess others' opinions was examined as well. Our results show substantially higher accuracy in classification for the objective assessment approach compared to the results based on personal opinions.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23686/full.
13Marcondes, C.H.: Representing and organizing scientific knowledge in biomedical articles with Semantic Web technologies.
In: Theorie, Semantik und Organisation von Wissen: Proceedings der 13. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und dem 13. Internationalen Symposium der Informationswissenschaft der Higher Education Association for Information Science (HI) Potsdam (19.-20.03.2013): 'Theory, Information and Organization of Knowledge' / Proceedings der 14. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) und Natural Language & Information Systems (NLDB) Passau (16.06.2015): 'Lexical Resources for Knowledge Organization' / Proceedings des Workshops der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) auf der SEMANTICS Leipzig (1.09.2014): 'Knowledge Organization and Semantic Web' / Proceedings des Workshops der Polnischen und Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation (ISKO) Cottbus (29.-30.09.2011): 'Economics of Knowledge Production and Organization'. Hrsg. von W. Babik, H.P. Ohly u. K. Weber. Würzburg : Ergon Verlag, 2017. S.238-245.
(Fortschritte in der Wissensorganisation; Bd.13)
Themenfeld: Semantic Web
14Erfani, S.S. ; Abedin, B. ; Blount, Y.: ¬The effect of social network site use on the psychological well-being of cancer patients.
In: Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1308-1322.
Abstract: Social network sites (SNSs) are growing in popularity and social significance. Although researchers have attempted to explain the effect of SNS use on users' psychological well-being, previous studies have produced inconsistent results. In addition, most previous studies relied on healthy students as participants; other cohorts of SNSs users, in particular people living with serious health conditions, have been neglected. In this study, we carried out semistructured interviews with users of the Ovarian Cancer Australia (OCA) Facebook to assess how and in what ways SNS use impacts their psychological well-being. A theoretical model was proposed to develop a better understanding of the relationships between SNS use and the psychological well-being of cancer patients. Analysis of data collected through a subsequent quantitative survey confirmed the theoretical model and empirically revealed the extent to which SNS use impacts the psychological well-being of cancer patients. Findings showed the use of OCA Facebook enhances social support, enriches the experience of social connectedness, develops social presence and learning and ultimately improves the psychological well-being of cancer patients.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23702/full.
15Lee, K. ; Kim, S.Y. ; Kim, E.H.-J. ; Song, M.: Comparative evaluation of bibliometric content networks by tomographic content analysis : an application to Parkinson's disease.
In: Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1295-1307.
Abstract: To understand the current state of a discipline and to discover new knowledge of a certain theme, one builds bibliometric content networks based on the present knowledge entities. However, such networks can vary according to the collection of data sets relevant to the theme by querying knowledge entities. In this study we classify three different bibliometric content networks. The primary bibliometric network is based on knowledge entities relevant to a keyword of the theme, the secondary network is based on entities associated with the lower concepts of the keyword, and the tertiary network is based on entities influenced by the theme. To explore the content and properties of these networks, we propose a tomographic content analysis that takes a slice-and-dice approach to analyzing the networks. Our findings indicate that the primary network is best suited to understanding the current knowledge on a certain topic, whereas the secondary network is good at discovering new knowledge across fields associated with the topic, and the tertiary network is appropriate for outlining the current knowledge of the topic and relevant studies.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23752/full.
16Ayadi, H. ; Torjmen-Khemakhem, M. ; Daoud, M. ; Huang, J.X. ; Jemaa, M.B.: Mining correlations between medically dependent features and image retrieval models for query classification.
In: Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1323-1334.
Abstract: The abundance of medical resources has encouraged the development of systems that allow for efficient searches of information in large medical image data sets. State-of-the-art image retrieval models are classified into three categories: content-based (visual) models, textual models, and combined models. Content-based models use visual features to answer image queries, textual image retrieval models use word matching to answer textual queries, and combined image retrieval models, use both textual and visual features to answer queries. Nevertheless, most of previous works in this field have used the same image retrieval model independently of the query type. In this article, we define a list of generic and specific medical query features and exploit them in an association rule mining technique to discover correlations between query features and image retrieval models. Based on these rules, we propose to use an associative classifier (NaiveClass) to find the best suitable retrieval model given a new textual query. We also propose a second associative classifier (SmartClass) to select the most appropriate default class for the query. Experiments are performed on Medical ImageCLEF queries from 2008 to 2012 to evaluate the impact of the proposed query features on the classification performance. The results show that combining our proposed specific and generic query features is effective in query classification.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23772/full.
Themenfeld: Data Mining
17Tang, X.-B. ; Wei Wei, G,-C.L. ; Zhu, J.: ¬An inference model of medical insurance fraud detection : based on ontology and SWRL.
In: Knowledge organization. 44(2017) no.2, S.84-96.
Abstract: Medical insurance fraud is common in many countries' medical insurance systems and represents a serious threat to the insurance funds and the benefits of patients. In this paper, we present an inference model of medical insurance fraud detection, based on a medical detection domain ontology that incorporates the knowledge base provided by the Medical Terminology, NKIMed, and Chinese Library Classification systems. Through analyzing the behaviors of irregular and fraudulent medical services, we defined the scope of the medical domain ontology relevant to the task and built the ontology about medical sciences and medical service behaviors. The ontology then utilizes Semantic Web Rule Language (SWRL) and Java Expert System Shell (JESS) to detect medical irregularities and mine implicit knowledge. The system can be used to improve the management of medical insurance risks.
18Deardorff, A. ; Masterton, K. ; Roberts, K. ; Kilicoglu, H. ; Demner-Fushman, D.: ¬A protocol-driven approach to automatically finding authoritative answers to consumer health questions in online resources.
In: Journal of the Association for Information Science and Technology. 68(2017) no.7, S.1724-1736.
Abstract: The purpose of this research was to establish an upper bound on finding answers to health-related questions in MedlinePlus and other online resources. Seven reference librarians tested a set of protocols to determine whether it was possible to use the types and foci of the questions extracted from customer requests submitted to the National Library of Medicine to find authoritative answers to these questions. Librarians tested the protocols manually to determine if the process was sufficiently robust and accurate to later automate. Results indicated that the extracted terms provide enough information to find authoritative answers for about 60% of questions and that certain question types are more likely to result in authoritative answers than others. The question corpus and analysis performed for this project will inform automatic question answering systems, and could lead to suggestions for new content to include in MedlinePlus. This approach can serve as an example to researchers interested in methods of evaluating question answering tools and the contents of online databases.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23806/full.
19Lu, K. ; Joo, S. ; Lee, T. ; Hu, R.: Factors that influence query reformulations and search performance in health information retrieval : a multilevel modeling approach.
In: Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1886-1898.
Abstract: Query reformulations can occur multiple times in a session, and queries observed in the same session tend to be related to each other. Due to the interdependent nature of queries in a session, it has been challenging to analyze query reformulation data while controlling for possible dependencies among queries. This study proposes a multilevel modeling approach in an attempt to analyze the effects of contextual factors and system features on types of query reformulation, as well as the relationship between types of query reformulation and search performance within a single research model. The results revealed that system features and users' educational background significantly influence users' query reformulation behaviors. Also, types of query reformulation had a significant impact on search performance. The main contribution of this study lies in that it adopted the multilevel modeling method to analyze query reformulation behavior while considering the nested structure of search session data. Multilevel analysis enables us to design an extensible research model to include both session-level and action-level factors, which provides a more extended understanding of the relationships among factors that influence query reformulation behavior and search performance. The multilevel modeling used in this study has practical implications for future query reformulation studies.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23872/full.
20Teixera Lopes, C. ; Paiva, D. ; Ribeiro, C.: Effects of language and terminology of query suggestions on medical accuracy considering different user characteristics.
In: Journal of the Association for Information Science and Technology. 68(2017) no.9, S.2063-2075.
Abstract: Searching for health information is one of the most popular activities on the web. In this domain, users often misspell or lack knowledge of the proper medical terms to use in queries. To overcome these difficulties and attempt to retrieve higher-quality content, we developed a query suggestion system that provides alternative queries combining the Portuguese or English language with lay or medico-scientific terminology. Here we evaluate this system's impact on the medical accuracy of the knowledge acquired during the search. Evaluation shows that simply providing these suggestions contributes to reduce the quantity of incorrect content. This indicates that even when suggestions are not clicked, they are useful either for subsequent queries' formulation or for interpreting search results. Clicking on suggestions, regardless of type, leads to answers with more correct content. An analysis by type of suggestion and user characteristics showed that the benefits of certain languages and terminologies are more perceptible in users with certain levels of English proficiency and health literacy. This suggests a personalization of this suggestion system toward these characteristics. Overall, the effect of language is more preponderant than the effect of terminology. Clicks on English suggestions are clearly preferable to clicks on Portuguese ones.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23874/full.