ELIZA

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346933 occurrences (No.53 in the rank) during 5 years in the PubMed. [cache]

306) The framework combines information retrieval techniques with a lexical resource based on Sentiwordnet making it possible to work with biased and untrusted websites while, at the same time, ensuring the content relevance.

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PMID:24393017 DOI:10.1185/03007995.2014.880050

2015 Informatics for health & social care

* A framework for automatic information quality ranking of diabetes websites.

- Objective: When searching for particular medical information on the internet the challenge lies in distinguishing the websites that are relevant to the topic, and contain accurate information. In this article, we propose a framework that automatically identifies and ranks diabetes websites according to their relevance and information quality based on the website content. Design: The proposed framework ranks diabetes websites according to their content quality, relevance and evidence based medicine. The framework combines information retrieval techniques with a lexical resource based on Sentiwordnet making it possible to work with biased and untrusted websites while, at the same time, ensuring the content relevance. Measurement: The evaluation measurements used were Pearson-correlation, true positives, false positives and accuracy. We tested the framework with a benchmark data set consisting of 55 websites with varying degrees of information quality problems. Results: The proposed framework gives good results that are comparable with the non-automated information quality measuring approaches in the literature. The correlation between the results of the proposed automated framework and ground-truth is 0.68 on an average with p < 0.001 which is greater than the other proposed automated methods in the literature (r score in average is 0.33).

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(1)142 the	(8)4 data	(15)2 clinical	(22)2 partial
(2)40 a	(9)4 our	(16)2 combined	(23)2 previous
(3)19 these	(10)4 two	(17)2 current	(24)2 radiological
(4)9 their	(11)3 16S	(18)2 functional	(25)2 sequences
(5)7 this	(12)3 an	(19)2 histological	(26)2 shear
(6)5 its	(13)2 all	(20)2 interviews	(27)2 small
(7)4 both	(14)2 changes	(21)2 morphology	(28)2 surveys

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--- WordNet output for based --- =>に基づき Overview of verb base The verb base has 3 senses (first 1 from tagged texts) 1. (75) establish, base, ground, found -- (use as a basis for; found on; "base a claim on some observation") 2. base -- (situate as a center of operations; "we will base this project in the new lab") 3. free-base, base -- (use (purified cocaine) by burning it and inhaling the fumes) Overview of adj based The adj based has 2 senses (first 2 from tagged texts) 1. (3) based -- (having a base; "firmly based ice") 2. (1) based -- (having a base of operations (often used as a combining form); "a locally based business"; "an Atlanta-based company"; "carrier-based planes") --- WordNet end ---