No abstract

No abstract

We describe the use of a domain-independent methodology to extend a natural language processing (NLP) application, SemRep (Rindflesch, Fiszman, & Libbus, 2005), based on the knowledge sources afforded by the Unified Medical Language System (UMLS®) (Humphreys, Lindberg, Schoolman, & Barnett, 1998) to support the area of health promotion within the public health domain. Public health professionals require good information about successful health promotion policies and programs that might be considered for application within their own communities. Our effort seeks to improve access to relevant information for the public health profession, to help those in the field remain an information-savvy workforce. NLP and semantic techniques hold promise to help public health professionals navigate the growing ocean of information by organizing and structuring this knowledge into a focused public health framework paired with a user-friendly visualization application as a way to summarize results of PubMed searches in this field of knowledge.

No abstract

No abstract

No abstract

This paper identifies Web-based resources of interest to the health policy community. Both information useful for developing health policy and information about existing health policy are included. Resources described are classified into three major categories: traditional and grey literature, statistical and epidemiological data, and legal and legislative material. National Library of Medicine (NLM) AND SEARCH ENGINESHealth policy information knowledge bases and search engines generally may be classified into three major categories: traditional and grey literature, statistical and epidemiological data, and legal and legislative material. However, there is much overlap among these categories. Many of the sources included below provide more than one type of information, but for brevity's sake, they are discussed in only one section. LITERATURENLM has long been a leader in providing access to peer-reviewed literature through its MEDLINE bibliographic database.* MEDLINE covers the fields of medicine, nursing, dentistry, veterinary medicine, the health care system, and the preclinical sciences. It contains bibliographic citations (e.g., authors, title, journal reference) and author abstracts from over 3,800 biomedical journals published in the US and 70 foreign countries and includes over 9 million records on what services are covered for its members than those the Health Care Financing Administration (HCFA) might cover for Medicare or Medicaid beneficiaries. For purposes of this presentation, both governmental and organizational health policy information are considered. *Additional information on MEDLINE and all the NLM products and services described here may be accessed at http://www.nlm.nih.gov.