Mining concepts of health responsibility using text mining and exploratory graph analysis

Kjellström, Sofia; Golino, Hudson

doi:10.1080/11038128.2018.1455896

Cited by 13 publications

(13 citation statements)

References 47 publications

(59 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are ways to increase data density by including less burdensome methods, such as gathering passive data (e.g., activity level, exercise, sleep, and social media usage with wearables and smartphones), written text or speech to analyze with text mining or other content analysis methods [ 71 – 73 ], and bursts of assessment triggered at particularly important times (e.g., during periods of high risk). Helmich and colleagues [ 74 ] designed a study that exemplifies the use of multiple measures collected at different sampling rates and periods of time.…”

Section: Discussionmentioning

confidence: 99%

A complex systems approach to the study of change in psychotherapy

Hayes

Andrews

2020

BMC Med

102

View full text Add to dashboard Cite

Background: A growing body of research highlights the limitations of traditional methods for studying the process of change in psychotherapy. The science of complex systems offers a useful paradigm for studying patterns of psychopathology and the development of more functional patterns in psychotherapy. Some basic principles of change are presented from subdisciplines of complexity science that are particularly relevant to psychotherapy: dynamical systems theory, synergetics, and network theory. Two early warning signs of system transition that have been identified across sciences (critical fluctuations and critical slowing) are also described. The network destabilization and transition (NDT) model of therapeutic change is presented as a conceptual framework to import these principles to psychotherapy research and to suggest future research directions. Discussion: A complex systems approach has a number of implications for psychotherapy research. We describe important design considerations, targets for research, and analytic tools that can be used to conduct this type of research. Conclusions: A complex systems approach to psychotherapy research is both viable and necessary to more fully capture the dynamics of human change processes. Research to date suggests that the process of change in psychotherapy can be nonlinear and that periods of increased variability and critical slowing might be early warning signals of transition in psychotherapy, as they are in other systems in nature. Psychotherapy research has been limited by small samples and infrequent assessment, but ambulatory and electronic methods now allow researchers to more fully realize the potential of concepts and methods from complexity science.

show abstract

Section: Discussionmentioning

confidence: 99%

A complex systems approach to the study of change in psychotherapy

Hayes

Andrews

2020

BMC Med

102

View full text Add to dashboard Cite

show abstract

“…It is epistemologically compatible with content analysis, making it possible to collect, maintain, interpret, and discover relevant information hidden in texts in a systematic and efficient way (Singh, Hu, & Roehl, 2007). Recently, EGA was used in combination with text mining to estimate latent topics in texts, showing promising results (Kjellström & Golino, 2019).…”

Section: Dynamic Exploratory Graph Analysismentioning

confidence: 99%

“…The current implementation of EGA, however, limits its application to data collected to a single time-point (i.e., cross-sectional data). Kjellström and Golino (2019), for example, used text data from single interviews made with multiple adults about their conceptions of health. To enable the identification of latent structures in texts from social media, the EGA technique needs to be expanded to accommodate short-term temporal dynamics.…”

Section: Dynamic Exploratory Graph Analysismentioning

confidence: 99%

Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections

et al. 2021

Self Cite

View full text Add to dashboard Cite

The past few years were marked by increased online offensive strategies perpetrated by state and non-state actors to promote their political agenda, sow discord, and question the legitimacy of democratic institutions in the US and Western Europe. In 2016, the US congress identified a list of Russian state-sponsored Twitter accounts that were used to try to divide voters on a wide range of issues. Previous research used latent Dirichlet allocation (LDA) to estimate latent topics in data extracted from these accounts. However, LDA has characteristics that may limit the effectiveness of its use on data from social media: The number of latent topics must be specified by the user, interpretability of the topics can be difficult to achieve, and it does not model short-term temporal dynamics. In the current paper, we propose a new method to estimate latent topics in texts from social media termed Dynamic Exploratory Graph Analysis (DynEGA). In a Monte Carlo simulation, we compared the ability of DynEGA and LDA to estimate the number of simulated latent topics. The results show that DynEGA is substantially more accurate than several different LDA algorithms when estimating the number of simulated topics. In an applied example, we performed DynEGA on a large dataset with Twitter posts from state-sponsored right- and left-wing trolls during the 2016 US presidential election. DynEGA revealed topics that were pertinent to several consequential events in the election cycle, demonstrating the coordinated effort of trolls capitalizing on current events in the USA. This example demonstrates the potential power of our approach for revealing temporally relevant information from qualitative text data.

show abstract

“…Textmining means that the text from the definitions is seen as unstructured data consisting of individual words. These words are manipulated to detect meaningful patterns and key terms, and are then visualized with graphs to illustrate the characteristics and nature of the definitions [25]. The Text Mining Package (tm, http://tm.r-forge.r-project.org/) for R, was used to visualize patterns in the definitions.…”

Section: Quantitative Analysismentioning

confidence: 99%

“…How often (i.e., the "distance" or "height") two terms occurred together in the 60 definitions was calculated with tm, that is, terms that often occur together have a short distance or short height [26]. There have been several studies on the validity of tm and its usage in similar and other contexts [25,27].…”

Section: Quantitative Analysismentioning

confidence: 99%

Qualitative and Quantitative Analysis of Definitions of e-Health and m-Health

Hallberg

Salimi

2020

Healthc Inform Res

View full text Add to dashboard Cite

The United Nations Sustainable Development Goals (SDG) promote a sustainable future for all by leaving no one behind. This includes improving the access to information and communication technology (ICT) and using it to increase access to health services in all parts of a nation [1]. Electronic services that are used in healthcare are often referred to as electronic health (e-health) or mobile health (m-health). The difference between e-health and m-health is that m-health refers to services that are mobile and wireless, such as mobile phones [2]. However, some argue that m-health includes all telecommunication devices for the transfer of healthcare information between participants at different locations [3].

show abstract

Mining concepts of health responsibility using text mining and exploratory graph analysis

Abstract: Occupational therapists' knowledge of the concepts of health responsibility is of value when working with a patient's health, but an identified challenge is how to engage children and older persons.

Cited by 13 publications

References 47 publications

A complex systems approach to the study of change in psychotherapy

A complex systems approach to the study of change in psychotherapy

Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections

Qualitative and Quantitative Analysis of Definitions of e-Health and m-Health

Contact Info

Product

Resources

About