A Web Search Method Based on Complaint Data Analysis for Collecting Advice

Author(s):  
Liang Yang ◽  
Daisuke Kitayama ◽  
Kazutoshi Sumiya
2013 ◽  
Vol 3 (1) ◽  
pp. 27-42
Author(s):  
Natalia Danilova ◽  
David Stupples

A semantic Web-based search method is introduced that automates the correlation of topic-related content for discovery of hitherto unknown intelligence from disparate and widely diverse Web-sources. This method is in contrast to traditional search methods that are constrained to specific or narrowly defined topics. The method is based on algorithms from Natural Language Processing combined with techniques adapted from grounded theory and Dempster-Shafer theory to significantly enhance the discovery of related Web-sourced intelligence. This paper describes the development of the method by showing the integration of the mathematical models used. Real-world worked examples demonstrate the effectiveness of the method with supporting performance analysis, showing that the quality of the extracted content is significantly enhanced comparing to the traditional Web-search approaches.


2013 ◽  
Vol 04 (01) ◽  
pp. 53-60 ◽  
Author(s):  
S. Khalifian ◽  
T. Markman ◽  
P. Sampognaro ◽  
S. Mitchell ◽  
S. Weeks ◽  
...  

SummaryBackground: The rapidly growing industry for mobile medical applications provides numerous smartphone resources designed for healthcare professionals. However, not all applications are equally useful in addressing the questions of early medical trainees.Methods: Three popular, free, mobile healthcare applications were evaluated along with a GoogleTM web search on both AppleTM and AndroidTM devices. Six medical students at a large academic hospital evaluated each application for a one-week period while on various clinical rotations.Results: GoogleTM was the most frequently used search method and presented multimedia resources but was inefficient for obtaining clinical management information. EpocratesTM Pill ID feature was praised for its clinical utility. MedscapeTM had the highest satisfaction of search and excelled through interactive educational features. MicromedexTM offered both FDA and off-label dosing for drugs.Discussion: GoogleTM was the preferred search method for questions related to basic disease processes and multimedia resources, but was inadequate for clinical management. Caution should also be exercised when using GoogleTM in front of patients. MedscapeTM was the most appealing application due to a broad scope of content and educational features relevant to medical trainees. Students should also be cognizant of how mobile technology may be perceived by their evaluators to avoid false impressions.Citation: Dattilo J, Khalifian S, Markman T, Sampognaro P, Mitchell S, Weeks S. Medical student appraisal: searching on smartphones. Appl Clin Inf 2013; 4: 53–60http://dx.doi.org/10.4338/ACI-2012-10-CR-0047


2001 ◽  
Vol 94 (8) ◽  
pp. 710-714
Author(s):  
Timothy E. Erickson

Geometrical ideas and representations often help us understand other areas of mathematics. For example, we might use area models for multiplying polynomials, for summing series, or for conditional probability calculations. But we can also use other areas of mathematics to help us understand a geometrical situation. This article describes an activity that was adapted from Erickson (2000, pp. 111–13), in which students use data analysis and mathematical modeling to obtain insight into a geometrical question. This activity explores a simple case of what is called the isoperimetric inequality. A Web search for that term can furnish additional information.


Author(s):  
Natalia Danilova ◽  
David Stupples

A semantic Web-based search method is introduced that automates the correlation of topic-related content for discovery of hitherto unknown intelligence from disparate and widely diverse Web-sources. This method is in contrast to traditional search methods that are constrained to specific or narrowly defined topics. The method is based on algorithms from Natural Language Processing combined with techniques adapted from grounded theory and Dempster-Shafer theory to significantly enhance the discovery of related Web-sourced intelligence. This paper describes the development of the method by showing the integration of the mathematical models used. Real-world worked examples demonstrate the effectiveness of the method with supporting performance analysis, showing that the quality of the extracted content is significantly enhanced comparing to the traditional Web-search approaches.


2018 ◽  
Vol 3 (2) ◽  
pp. 159
Author(s):  
Muhammad Mujtaba Habibi ◽  
Sri Untari

This study aims to analyze the effectiveness of E-procurement in the procurement of goods and services in the Malang City Government, and analyze the obstacles to the implementation of E-procurement in the procurement of goods and services in Malang City Government. The re- search method used is descriptive research with a qualitative approach. The collection techniques used were observation, interviews and documentation. Data analysis using interactive models. The results showed that in general the implementation of e-procurement in the procurement of goods and services in the City Government of Malang was effective as evidenced by the implementation of transparent and accountable tenders that made it possible for loyal agencies / companies to take part in the tender. the web. However, there are several obstacles, namely duplicate positions, poor human resources and infrastructure that is less supportive. 


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