Group items tagged

In most social research the data analysis involves three major steps, done in roughly this order: Cleaning and organizing the data for analysis (Data Preparation) Describing the data (Descriptive Statistics) Testing Hypotheses and Models (Inferential Statistics)

Clinical Document Collection: A collection of 7673 initial visit notes was obtained from the Columbia University Medical Center Milstein Hospitalist Service. This includes all resident and attending initial visit notes and initial consult notes for inpatient admissions of all types from late 2006 through early 2007. They are not filtered and should therefore be representative of all patients admitted to the Hospitalist Service. All notes from the Service are entered through semi-structured entry templates in a system called eNote11. PMH was entered into a coded field in eNote templates, but as free text within that field. The advantage for this analysis was that these lists were in the doctor's own words without any limits on structure or content imposed by the information system. The notes were stored using the Clinical Document Architecture (CDA) XML schema. This allowed for a simple XSL transformation to filter protected health information (PHI) and convert sections of interest to text. A small Java application was written to perform this XSLT on each document and do basic preprocessing to prepare the text for natural language processing analysis. Data Preparation: The corpus was then parsed with the MedLEE natural language processor12 to obtain the semantic structure and UMLS codes of concepts represented in these notes. MedLEE output was generated as XML and a Java postprocessor was used to validate the XML output. Each note section was divided into a text section with numbered phrase tags around identifiable phrases and a structured element containing references describing the tagged phrases. Reference tags were named with the phrase's semantic type. MedLEE assigned a UMLS code to the phrase whenever it could map the clinical information detected to known UMLS concepts. MedLEE results were then merged into one large XML file to facilitate querying across all documents with XQuery.

The SPECIALIST Natural Language Processing (NLP) Tools have been developed by the The Lexical Systems Group of The Lister Hill National Center for Biomedical Communications to investigate the contributions that natural language processing techniques can make to the task of mediating between the language of users and the language of online biomedical information resources. The SPECIALIST NLP Tools facilitate natural language processing by helping application developers with lexical variation and text analysis tasks in the biomedical domain. The NLP Tools are open source resources distributed subject to these terms and conditions.

Insert your title and/or abstract here: (or, click here to search using keywords) Choose the language(s) you want to publish in: English French German Italian Japanese Russian Spanish Select the publication type(s) best describing your manuscript: Case Reports Classical Article Clinical Trial Clinical Trial, Phase I Clinical Trial, Phase II Clinical Trial, Phase III Clinical Trial, Phase IV Comparative Study Controlled Clinical Trial Evaluation Studies In Vitro Journal Article Letter Meta-Analysis Multicenter Study Randomized Controlled Trial Review Twin Study Validation Studies Choose your open access options:* No preference Search only open access journals Exclude open access journals Included only journals in PubMed Central?:* No preference Only journals with immediate access Only journals with a maximum access delay of 12 months Only journals in Pubmed Central * these options only work when searching for journals Welcome to Jane Have you recently written a paper, but you're not sure to which journal you should submit it? Or maybe you want to find relevant articles to cite in your paper? Or are you an editor, and do you need to find reviewers for a particular paper? Jane can help! Just enter the title and/or abstract of the paper in the box, and click on 'Find journals', 'Find authors' or 'Find Articles'. Jane will then compare your document to millions of documents in Medline to find the best matching journals, authors or articles.

"Too much time is spent manipulating data just to get analysis and visualization tools to read it. Wrangler is designed to accelerate this process: spend less time fighting with your data and more time learning from it."

This is a brilliant tool, and its not necessary to leave any data in the public domain as the resulting file can be saved to file. Lots of fonts etc.

Kanu E.O. Nkanginieme, MD, FmCPaed., University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria

No gold-standard tool has been agreed upon in the literature, and none fully addresses all IPE learner outcomes. Objective measures of higher level outcomes are necessary to ensure comprehensive evaluation of IPE/IPP.

paul rayson and roger garside UCREL Lancaster University