Learn More
Laypersons ("consumers") often have difficulty finding, understanding, and acting on health information due to gaps in their domain knowledge. Ideally, consumer health vocabularies (CHVs) would reflect the different ways consumers express and think about health topics, helping to bridge this vocabulary gap. However, despite the recent research on mismatches(More)
OBJECTIVE There is an abundance of health-related information online, and millions of consumers search for such information. Spell checking is of crucial importance in returning pertinent results, so the authors propose a technique for increasing the effectiveness of spell-checking tools used for health-related information retrieval. DESIGN A sample of(More)
BACKGROUND Accurate assessment of the difficulty of consumer health texts is a prerequisite for improving readability. General purpose readability formulas based primarily on word length are not well suited for the health domain, where short technical terms may be unfamiliar to consumers. To address this need, we previously developed a regression model for(More)
This report presents an overview for pathologists of the development and potential applications of a novel Web enabled system allowing indexing and retrieval of pathology specimens across multiple institutions. The system was developed through the National Cancer Institute's Shared Pathology Informatics Network program with the goal of creating a prototype(More)
This study explores the time of occurrence and risk factors of secondary lymphoedema after breast cancer surgery. A cross-sectional study of women with breast cancer (n = 230) recruited from Chongqing Breast Cancer Center from July 2009 to June 2010 provided data. A self-reported questionnaire was used to evaluate the lymphoedema by telephone interview at 6(More)
Tens of thousands of subjects may be required to obtain reliable evidence relating disease characteristics to the weak effects typically reported from common genetic variants. The costs of assembling, phenotyping, and studying these large populations are substantial, recently estimated at three billion dollars for 500,000 individuals. They are also(More)
BACKGROUND Searching for health information is one of the most-common tasks performed by Internet users. Many users begin searching on popular search engines rather than on prominent health information sites. We know that many visitors to our (National Cancer Institute) Web site, cancer.gov, arrive via links in search engine result. OBJECTIVE To learn(More)
BACKGROUND An Internet mailing list may be characterized as a virtual community of practice that serves as an information hub with easy access to expert advice and opportunities for social networking. We are interested in mining messages posted to a list for dental practitioners to identify clinical topics. Once we understand the topical domain, we can(More)
OBJECTIVES As millions of consumers perform health information retrieval online, the mismatch between their terminology and the terminologies of the information sources could become a major barrier to successful retrievals. To address this problem, we studied the characteristics of consumer terminology for health information retrieval. METHODS Our study(More)
Negation status identification for findings or diagnoses is an important medical data mining problem. Negative qualifier assigned to a medical condition may indicate the absence of the condition, so the ability to reliably identify the negation status of medical concepts affects the quality of results produced by the indexing and search tools. Searching for(More)