scholarly journals Using Internet Search Engines to Obtain Medical Information: A Comparative Study

2012 ◽  
Vol 14 (3) ◽  
pp. e74 ◽  
Author(s):  
Liupu Wang ◽  
Juexin Wang ◽  
Michael Wang ◽  
Yong Li ◽  
Yanchun Liang ◽  
...  
Keyword(s):  
Comparative Study ◽  
Search Engines ◽  
Medical Information ◽  
Internet Search

The Internet for Pathologists: A Simple Schema for Evaluating Pathology-Related Web Sites and a Catalog of Sites Useful for Practicing Pathologists

2005 ◽  
Vol 129 (6) ◽  
pp. 742-746
Author(s):  
Geoffrey Talmon ◽  
Neil A. Abrahams
Keyword(s):  
Simple Group ◽  
Web Sites ◽  
Search Engines ◽  
Scoring System ◽  
Medical Information ◽  
Information Source ◽  
The Internet ◽  
Search Term ◽  
Internet Search ◽  
Simple Schema

Abstract Context.—With the increasing popularity of the Internet as a primary medical information source, it is critical for pathologists to be able to use and evaluate both general medical- and pathology-related Web sites. Several published models for evaluating Web sites prove cumbersome to use and often involve computer- or statistic-based algorithms. Objectives.—To develop a simple group of scoring criteria to objectively evaluate medical Web sites and provide a list of the highest-scoring pathology-related sites that will be useful to the practicing pathologist. Design.—Using 11 commonly used Internet search engines, the top 50 “hits” retrieved from the search term websites for pathologists were scored using 5 criteria, including accuracy, ease of navigation, relevance, updates, and completeness. A possible 6 to 12 points per area were awarded, and the total score was summated. Results.—Scores obtained ranged from 12 to 21. Thirty-five Web sites, all scoring 15 or higher based on these criteria, were listed as most useful. Conclusion.—A simple, easy-to-use, 5-category scoring system can prove useful in evaluating pathology- and medical-related Web sites.

Quality Assessment of Health Information about Scaphoid Fracture in Chinese Websites (Preprint)

2019 ◽  
Author(s):  
Yaobin Yin ◽  
Jianguang Ji ◽  
Peng Lu ◽  
Wenyao Zhong ◽  
Liying Sun ◽  
...  
Keyword(s):  
Social Networks ◽  
Health Information ◽  
Search Engines ◽  
Medical Information ◽  
Scaphoid Fracture ◽  
Family Members ◽  
Online Information ◽  
Specific Content ◽  
The Mean

BACKGROUND With online health information becoming increasingly popular among patients and their family members, concerns have been raised about the accuracy from the websites. OBJECTIVE We aimed to evaluate the overall quality of the online information about scaphoid fracture obtained from Chinese websites using the local search engines. METHODS We conducted an online search using the keyword “scaphoid fracture” from the top 5 search engines in China, i.e. Baidu, Shenma, Haosou, Sougou and Bing, and gathered the top ranked websites, which included a total of 120 websites. Among them, 81 websites were kept for further analyses by removing duplicated and unrelated one as well as websites requiring payment. These websites were classified into four categories, including forum/social networks, commercials, academics and physician’s personals. Health information evaluation tool DISCERN and Scaphoid Fracture Specific Content Score (SFSCS) were used to assess the quality of the websites. RESULTS Among the 81 Chinese websites that we studied, commercial websites were the most common one accounting more than half of all websites. The mean DISCERN score of the 81 websites was 25.56 and no website had a score A (ranging from 64 to 80).The mean SFSCS score was 10.04 and no website had a score A (range between 24 and 30). In addition, DISCERN and SFSCS scores from academic and physician’s websites were significantly higher than those from the forum/social networks and commercials. CONCLUSIONS The overall quality of health information obtained from Chinese websites about scaphoid fracture was very low, suggesting that patients and their family members should be aware such deficiency and pay special attentions for the medical information obtained by using the current search engines in China.

scholarly journals Predictive modeling in urgent care: a comparative study of machine learning approaches

JAMIA Open ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 87-98 ◽  
Author(s):  
Fengyi Tang ◽  
Cao Xiao ◽  
Fei Wang ◽  
Jiayu Zhou
Keyword(s):  
Machine Learning ◽  
Comparative Study ◽  
Predictive Modeling ◽  
Medical Information ◽  
Mortality Prediction ◽  
Urgent Care ◽  
Differential Diagnostics ◽  
Learning Approaches ◽  
Temporal Models ◽  
Medical Histories

Abstract Objective The growing availability of rich clinical data such as patients’ electronic health records provide great opportunities to address a broad range of real-world questions in medicine. At the same time, artificial intelligence and machine learning (ML)-based approaches have shown great premise on extracting insights from those data and helping with various clinical problems. The goal of this study is to conduct a systematic comparative study of different ML algorithms for several predictive modeling problems in urgent care. Design We assess the performance of 4 benchmark prediction tasks (eg mortality and prediction, differential diagnostics, and disease marker discovery) using medical histories, physiological time-series, and demographics data from the Medical Information Mart for Intensive Care (MIMIC-III) database. Measurements For each given task, performance was estimated using standard measures including the area under the receiver operating characteristic (AUC) curve, F-1 score, sensitivity, and specificity. Microaveraged AUC was used for multiclass classification models. Results and Discussion Our results suggest that recurrent neural networks show the most promise in mortality prediction where temporal patterns in physiologic features alone can capture in-hospital mortality risk (AUC > 0.90). Temporal models did not provide additional benefit compared to deep models in differential diagnostics. When comparing the training–testing behaviors of readmission and mortality models, we illustrate that readmission risk may be independent of patient stability at discharge. We also introduce a multiclass prediction scheme for length of stay which preserves sensitivity and AUC with outliers of increasing duration despite decrease in sample size.

scholarly journals OPTIMALISASI PLATFORM ONLINE INTERNET MARKETING UNTUK SME LITTLE ROSE BANDUNG

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Budi Harto ◽  
Rita Komalasari
Keyword(s):  
Social Media ◽  
Search Engines ◽  
Internet Marketing ◽  
Online Marketing ◽  
Internet Search ◽  
Further Training ◽  
Marketing Program ◽  
Keywords Internet ◽  
Marketing Activities ◽  
New Jobs

Almost everyone now has been searching for anything through internet search engines such as Google, e-commerce sites / buying and selling sites, and social media. This online internet marketing program can be started by SMEs easily, several ways that can be applied are by making Google My Business, Google Website, E-Commerce Shopee, and Social media such as Facebook and Instagram. Little Rose as an Indonesian SME that manufactures various kinds of fabric crafts made from fabric makes it has a lot of opportunities to become a marketable product, unfortunately the lack of marketing activities makes it still not widely known. Little Rose needs a new market in order to increase revenue, expand businesses, and create new jobs. After this training, the Little Rose team can still be given further training on the platforms that have been provided. In the future if there is already a budget for marketing, it would be better to create a website with a better appearance, e-commerce sites can be upgraded to become paid if there are already many products, and use social media ads to advertise Little Rose even further Keywords: Internet Marketing, Online Marketing, UMKM, SME

scholarly journals Familiarity of Iranian M.A. Translation Students with ICT Tools

2021 ◽  
Vol 2 (1) ◽  
pp. 17-26
Author(s):  
Hamidreza Abdi
Keyword(s):  
Information Search ◽  
Search Engines ◽  
Instant Messaging ◽  
General Purpose ◽  
Internet Search ◽  
Chi Square ◽  
Software Application ◽  
Wide Range ◽  
Chi Square Test ◽  
Ict Tools

Familiarity with information and communication technology (ICT) is of great importance to the translation students because it allows the students to make use of a wide range of ICT tools. The present study investigated the degree of students’ familiarity with ICT tools employed to support ICT related activities included in the translator’s workstation. To do this, a questionnaire encompassing 24 questions was designed on the basis of translation activities proposed by Fulford and Granell-Zafar (2005), including information search and retrieval, communications, and marketing and work procurement. The results indicated the high familiarity of the M.A. translation students with general-purpose software application, namely online dictionaries and internet search engines, and the lower than the average familiarity of them with specific-purpose software, such as FTP and MUDs. Furthermore, chi-square test (X²) was run to see whether there is a significant relationship between each type of ICT tools and the participants. The results illustrated that the relationships between the M.A. translation students and some ICT applications, including internet search engines, web browsers, online dictionaries and encyclopedia, IRC, and MUDs, were significant; whereas, it was not significant between the other types of ICT software and students. This includes online translation marketplaces, internet forums, email, instant messaging, video chat, discussion mailing lists, talkers, and FTP.

Sign in / Sign up

Export Citation Format

Share Document