Readability and topics of the German Health Web: Exploratory study and text analysis.

Background: The internet has become an increasingly important resource for health information, especially for lay people. However, the information found does not necessarily comply with the user's health literacy level. Therefore, it is vital to (1) identify prominent information providers, (2) quantify the readability of written health information, and (3) to analyze how different types of information sources are suited for people with differing health literacy levels.

Readability of English, German, and Russian Disease-Related Wikipedia Pages: Automated Computational Analysis.

Background: Wikipedia is a popular encyclopedia for health- and disease-related information in which patients seek advice and guidance on the web. Yet, Wikipedia articles can be unsuitable as patient education materials, as investigated in previous studies that analyzed specific diseases or medical topics with a comparatively small sample size. Currently, no data are available on the average readability levels of all disease-related Wikipedia pages for the different localizations of this particular encyclopedia.

The Security State of the German Health Web: An Exploratory Study.

Unlabelled: The internet has become an important resource for health information and for interactions with healthcare providers. However, information of all types can go through many servers and networks before reaching its intended destination and any of these has the potential to intercept or even manipulate the exchanged information if data's transfer is not adequately protected. As trust is a fundamental concept in healthcare relationships, it is crucial to offer a secure medical website to maintain the same level of trust as provided in a face-to-face meeting.

Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19-Related Information on Twitter During the SARS-CoV-2 Outbreak in Europe: Infoveillance Study.

Background: The spread of the 2019 novel coronavirus disease, COVID-19, across Asia and Europe sparked a significant increase in public interest and media coverage, including on social media platforms such as Twitter. In this context, the origin of information plays a central role in the dissemination of evidence-based information about the SARS-CoV-2 virus and COVID-19. On February 2, 2020, the World Health Organization (WHO) constituted a "massive infodemic" and argued that this situation "makes it hard for people to find trustworthy sources and reliable guidance when they need it.

Crawling the German Health Web: Exploratory Study and Graph Analysis.

Background: The internet has become an increasingly important resource for health information. However, with a growing amount of web pages, it is nearly impossible for humans to manually keep track of evolving and continuously changing content in the health domain. To better understand the nature of all web-based health information as given in a specific language, it is important to identify (1) information hubs for the health domain, (2) content providers of high prestige, and (3) important topics and trends in the health-related web.

PrositNG - A Machine Learning Supported Disease Model Generation Software.

Decision models (DM), especially Markov Models, play an essential role in the economic evaluation of new medical interventions. The process of DM generation requires expert knowledge of the medical domain and is a time-consuming task. Therefore, the authors propose a new model generation software PrositNG that is connectable to database systems of real-world routine care data.

Technology Adoption, Motivational Aspects, and Privacy Concerns of Wearables in the German Running Community: Field Study.

Background: Despite the availability of a great variety of consumer-oriented wearable devices, perceived usefulness, user satisfaction, and privacy concerns have not been fully investigated in the field of wearable applications. It is not clear why healthy, active citizens equip themselves with wearable technology for running activities, and what privacy and data sharing features might influence their individual decisions.

Objective: The primary aim of the study was to shed light on motivational and privacy aspects of wearable technology used by healthy, active citizens.

Analyzing the Readability of Health Information Booklets on Cardiovascular Diseases.

A low level of patient health literacy represents a major reason for worse prognosis or reduced therapy adherence. Health information booklets are a major tool for improving patient's health literacy. This paper presents a computer-based readability analysis of patient information booklets from the cardiovascular domain.

Computer-Based Readability Testing of Information Booklets for German Cancer Patients.

Understandable health information is essential for treatment adherence and improved health outcomes. For readability testing, several instruments analyze the complexity of sentence structures, e.g.

Accuracy and Adoption of Wearable Technology Used by Active Citizens: A Marathon Event Field Study.

Background: Today, runners use wearable technology such as global positioning system (GPS)-enabled sport watches to track and optimize their training activities, for example, when participating in a road race event. For this purpose, an increasing amount of low-priced, consumer-oriented wearable devices are available. However, the variety of such devices is overwhelming.

Understandability of Patient Information Booklets for Patients with Cancer.

The improvement of health literacy in general and the information of individual patient is a major concern of the German national cancer plan and similar initiatives in other western countries. The aim of our study was to assess the readability and understandability of information booklets for cancer patients available at German Web sites. A support vector machine (SVM) was used to discriminate between laymen- and expert-centric patient information booklets about nine most common tumor types.

[Patient guidelines in oncology: objectives, procedures and first experiences with this format].

For several years patient versions of guidelines have become mandatory in the German Guidelines Program in Oncology (GGPO). Based on the methodology that has been developed for the German National Disease Management Guidelines Program, patient versions of guidelines translate the recommendations of clinical practice guideline into plain language and provide information about the harms and benefits of the interventions being addressed in the guideline. They are developed by a group of guideline authors (experts as well as patients), they are consensus-based and aim to create transparency in recommendations for physicians and their rationales.

Proactive Support of Internet Browsing when Searching for Relevant Health Information.

Many people use the Internet as one of the primary sources of health information. This is due to the high volume and easy access of freely available information regarding diseases, diagnoses and treatments. However, users may find it difficult to retrieve information which is easily understandable and does not require a deep medical background.

Expertizer: a tool to assess the expert level of online health websites.

Health-related Web sites have become a primary resource to search for information on diseases, diagnoses or treatment options. Various Web sites offer a great variety of such information. However, lay people might have difficulties to assess whether a certain article or Web site fits their individual level of understandability.

Automatically Assessing the Expert Degree of Online Health Content using SVMs.

More and more people search for health information regarding diseases, diagnoses and treatments over the Web. However, lay people often have difficulties in assessing the understandability of related articles. Therefore, they could benefit from a system, which computes the medical expert degree of a corresponding piece of text in advance.