1 Published by EUEP. European Publishing on behalf of the European Network for Smoking and Tobacco Prevention (ENSP). © 2018 Khalil G. This is an Open Access article distributed under the terms of the Creative Commons Attribution NonCommercial 4.0 International License. (http://creativecommons.org/licenses/by-nc/4.0) ABSTRACT INTRODUCTION In the United States, young adults have the highest prev...

BACKGROUND Adequate antenatal care is important to both the health of a pregnant woman and her unborn baby. Given South Africa's high rate of cellphone penetration, mobile health interventions have been touted as a potentially powerful means to disseminate health information. This study aimed to increase antenatal health knowledge and awareness by disseminating text messages about clinic proced...

txt2MEDLINE allows users to search and retrieve MEDLINE/PubMed citations using SMS text messages. "The Bottom Line" (TBL) concept was developed because of the 160-character limitation of text messages. TBL algorithm generates a shortened version of the published abstract thereby decreasing the number of characters while attempting to maintain the key points of the full-length, author-generated ...

OBJECTIVE To evaluate the performance of a system that extracts medication information and administration-related actions from patient short message service (SMS) messages. DESIGN Mobile technologies provide a platform for electronic patient-centered medication management. MyMediHealth (MMH) is a medication management system that includes a medication scheduler, a medication administration re...

Text messaging while driving is considered dangerous and known to produce injuries and fatalities. However, the effects of text messaging on driving performance have not been synthesized or summarily estimated. All available experimental studies that measured the effects of text messaging on driving were identified through database searches using variants of "driving" and "texting" without rest...

Spam filtering is a text categorization task that shows especial features that make it interesting and difficult. First, the task has been performed traditionally using heuristics from the domain. Second, a cost model is required to avoid misclassification of legitimate messages. We present a comparative evaluation of several machine learning algorithms applied to spam filtering, considering th...

We present a system for Emotion Analysis of Instant Messages (IM). Using Instance Based classifier we have shown that our system can outperform similar systems in the IM domain. Tagged instant messages and elaborate feature engineering can help a lot in increasing the performance of text classification of unstruc-tured, ungrammatical text. The impact of class imbalance on classification has bee...

Background Technology-delivered interventions have the potential to improve diabetes self-care and glycemic control among adults with type 2 diabetes (T2D). However, patients who do not engage with interventions may not reap benefits, and there is little evidence on how engagement with mobile health interventions varies by health literacy status. Objective This study explored how patients wit...

In this paper we survey different steganography techniques for encrypting the data along with characteristics, difference with cryptography. Steganography is the art and science of hiding information by embedding messages within other, seemingly harmless messages. Steganography works by replacing bits of useless or unused data in regular computer files (such as graphics, sound, text, HTML, or e...

This paper describes the development of an ‘artificial friend’, i.e., an intelligent agent that provides support via text messages in social media in order to alleviate the stress that users experience as a result of everyday problems. The agent consists of three main components: 1) a module that processes text messages based on text mining and classifies them into categories of problems, 2) a ...