The eShopmonitor: A comprehensive data extraction tool for monitoring Web sites

2004 ◽  
Vol 48 (5.6) ◽  
pp. 679-692 ◽  
Author(s):  
N. Agrawal ◽  
R. Ananthanarayanan ◽  
R. Gupta ◽  
S. Joshi ◽  
R. Krishnapuram ◽  
...  
2020 ◽  
Vol 16 (5) ◽  
pp. 436-447 ◽  
Author(s):  
Pradeep Narayanaswamy ◽  
Guoshou Teo ◽  
Jin Rong Ow ◽  
Adam Lau ◽  
Philipp Kaldis ◽  
...  

We have developed MetaboKit, a comprehensive software package for compound identification and relative quantification in mass spectrometry-based untargeted metabolomics analysis.


2000 ◽  
Vol 124 (6) ◽  
pp. 853-858
Author(s):  
Rebecca F. Yorke

Abstract Objectives.—To identify resources and summarize important issues in anatomic and clinical pathology training and to assist the pathology resident candidate in evaluating potential training programs. Data Sources.—Published guides for medical residency applicants, recent literature discussing pathology education, and World Wide Web sites. Study Selection.—Resources perceived by the author as valuable for the pathology resident candidate. Data Extraction.—Key issues in pathology education are identified. Data Synthesis.—Issues are discussed from the perspective of a pathology resident candidate, and resources for further information are provided. Conclusions.—The pathology residency candidate faces unique challenges in the residency search process because of the breadth of pathology training and the limited exposure to the practice of pathology in medical school. General guides for residency applicants include little discussion of pathology-specific issues. Recent literature discussing pathology education is fragmented but provides invaluable insights for resident candidates. This review seeks to identify a wide variety of issues and resources as a starting point for evaluating potential training programs.


CJEM ◽  
2011 ◽  
Vol 13 (06) ◽  
pp. 372-377 ◽  
Author(s):  
Matthew T. Davis ◽  
Adam Dukelow ◽  
Shelley McLeod ◽  
Severo Rodriguez ◽  
Michael Lewell

ABSTRACTObjectives:The 12-lead electrocardiogram (ECG) can capture valuable information in the prehospital setting. By the time patients are assessed by an emergency department (ED) physician, their symptoms and any ECG changes may have resolved. We sought to determine whether the prehospital electrocardiogram (pECG) could influence ED management and how often the pECG was available to and reviewed by the ED physician.Methods:A retrospective medical record review was conducted on a random sample of patients ≥ 18 years who had a prehospital 12-lead ECG and were transported to one of two tertiary care centres. Data were recorded onto a standardized data extraction tool. Three investigators independently compared the pECG to the first ECG obtained in the ED after patient arrival at the hospital. Any abnormalities not present on the ED ECG were adjudicated to ascertain whether they had the potential to change ED management.Results:Of 115 ambulance runs selected, 47 had no pECG attached to the ambulance call record (ACR) and another 5 were excluded (one ST elevation myocardial infarction, one cardiac arrest, three ACR missing). Of the 63 pECGs reviewed, 16 (25%) showed changes not apparent on the initial ED ECG (κ = 0.83; 95% CI 0.74–0.93), of which 12 had differences that might influence ED management (κ = 0.76; 95% CI 0.72–0.82). Only one hospital record contained a copy of the pECG, despite the current protocol that paramedics print two copies of the pECG on arrival in the ED (one copy for the ACR and one to be handed to the medical personnel). None of 110 ED charts documented that the pECG was reviewed by the ED physician.Conclusion:The pECG has the potential to influence ED management. Improvement in paramedic and physician documentation and a formal pECG handover process appear necessary.


2019 ◽  
Vol 3 ◽  
pp. 157
Author(s):  
Fala Cramond ◽  
Alison O'Mara-Eves ◽  
Lee Doran-Constant ◽  
Andrew SC Rice ◽  
Malcolm Macleod ◽  
...  

Background: The extraction of data from the reports of primary studies, on which the results of systematic reviews depend, needs to be carried out accurately. To aid reliability, it is recommended that two researchers carry out data extraction independently. The extraction of statistical data from graphs in PDF files is particularly challenging, as the process is usually completely manual, and reviewers need sometimes to revert to holding a ruler against the page to read off values: an inherently time-consuming and error-prone process. Methods: To mitigate some of the above problems we integrated and customised two existing JavaScript libraries to create a new web-based graphical data extraction tool to assist reviewers in extracting data from graphs. This tool aims to facilitate more accurate and timely data extraction through a user interface which can be used to extract data through mouse clicks. We carried out a non-inferiority evaluation to examine its performance in comparison to standard practice. Results: We found that the customised graphical data extraction tool is not inferior to users’ prior preferred current approaches. Our study was not designed to show superiority, but suggests that there may be a saving in time of around 6 minutes per graph, accompanied by a substantial increase in accuracy. Conclusions: Our study suggests that the incorporation of this type of tool in online systematic review software would be beneficial in facilitating the production of accurate and timely evidence synthesis to improve decision-making.


BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e055985
Author(s):  
Jiyeon Kang ◽  
John Cairns

IntroductionDue to the limitations of relying on randomised controlled trials, the potential benefits of real-world data (RWD) in enriching evidence for health technology assessment (HTA) are highlighted. Despite increased interest in RWD, there is limited systematic research investigating how RWD have been used in HTA. The main purpose of this protocol is to extract relevant data from National Institute for Health and Care Excellence (NICE) appraisals in a transparent and reproducible manner in order to determine how NICE has incorporated a broader range of evidence in the appraisal of oncology medicines.Methods and analysisThe appraisals issued between January 2011 and May 2021 are included following inclusion criteria. The data extraction tool newly developed for this research includes the critical components of economic evaluation. The information is extracted from identified appraisals in accordance with extraction rules. The data extraction tool will be validated by a second researcher independently. The extracted data will be analysed quantitatively to investigate to what extent RWD have been used in appraisals. This is the first protocol to enable data to be extracted comprehensively and systematically in order to review the use of RWD.Ethics and disseminationThis study is approved by the Ethics Committee of the London School of Hygiene and Tropical Medicine on 14 November 2019 (17315). Results will be published in peer-reviewed journals.


2020 ◽  
Author(s):  
Mahbub Hossain ◽  
Abida Sultana ◽  
Ping Ma ◽  
Qiping Fan ◽  
Rachit Sharma ◽  
...  

Objectives: To synthesize the evidence on the effects of exposure to natural environment on mental health to inform future policymaking, practice, and research. Methods: A systematic search of nine major databases and additional sources were conducted using relevant keywords for the natural environment and mental health till November 2019. We included systematic reviews or meta-analyses reporting any measures of associations between the natural environment and mental health. The data on study characteristics and research findings were extracted using the JBI data extraction tool and synthesized narratively.Results: Twenty reviews were included in this umbrella review reporting both correlational and experimental studies. Among diverse population groups, the exposure to the natural environment was associated with improvements in depressive symptoms, anxiety, mood disorders, stress, cognitive and emotional functions, affect, happiness, and overall mental wellbeing. Conclusions: The findings of this review inform beneficial mental health outcomes associated with exposure to the natural environment. This umbrella review suggests collaborative policymaking, advanced research, and evidence-based practice protecting the natural environment and improving mental health across populations.


2012 ◽  
Vol 8 (4) ◽  
pp. 1-21 ◽  
Author(s):  
C. I. Ezeife ◽  
Titas Mutsuddy

The process of extracting comparative heterogeneous web content data which are derived and historical from related web pages is still at its infancy and not developed. Discovering potentially useful and previously unknown information or knowledge from web contents such as “list all articles on ’Sequential Pattern Mining’ written between 2007 and 2011 including title, authors, volume, abstract, paper, citation, year of publication,” would require finding the schema of web documents from different web pages, performing web content data integration, building their virtual or physical data warehouse before web content extraction and mining from the database. This paper proposes a technique for automatic web content data extraction, the WebOMiner system, which models web sites of a specific domain like Business to Customer (B2C) web sites, as object oriented database schemas. Then, non-deterministic finite state automata (NFA) based wrappers for recognizing content types from this domain are built and used for extraction of related contents from data blocks into an integrated database for future second level mining for deep knowledge discovery.


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