Reusable Data Visualization Patterns for Clinical Practice
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[1] Daniel A. Keim,et al. Visual Analytics: Definition, Process, and Challenges , 2008, Information Visualization.
[2] Erik Duval,et al. Creating Effective Learning Analytics Dashboards: Lessons Learnt , 2016, EC-TEL.
[3] John Torous,et al. Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements , 2018, Evidence Based Journals.
[4] M. Provencher,et al. Behavioural activation for depression: efficacy, effectiveness and dissemination. , 2013, Journal of affective disorders.
[5] Ernesto Damiani,et al. A Model-Driven Methodology for Big Data Analytics-as-a-Service , 2017, 2017 IEEE International Congress on Big Data (BigData Congress).
[6] John Zimmerman,et al. Research through design as a method for interaction design research in HCI , 2007, CHI.
[7] Marin Litoiu,et al. An Architecture to Support Model Driven Software Visualization , 2006, 14th IEEE International Conference on Program Comprehension (ICPC'06).
[8] Jordi Cabot,et al. Model-Driven Software Engineering in Practice, Second Edition , 2017, Model-Driven Software Engineering in Practice.
[9] Nils Lindefors,et al. ICBT in routine care: A descriptive analysis of successful clinics in five countries , 2018, Internet interventions.
[10] Gitte Lindgaard,et al. Early traces of usability as a science and as a profession , 2009, Interact. Comput..
[11] George Siemens,et al. Learning analytics: envisioning a research discipline and a domain of practice , 2012, LAK.
[12] C. Humby,et al. Process Mining: Data science in Action , 2014 .
[13] Heidrun Schumann,et al. Model-Driven Design for the Visual Analysis of Heterogeneous Data , 2012, IEEE Transactions on Visualization and Computer Graphics.
[14] Peter A. Flach,et al. Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation , 2018, Sensors.
[15] G. Andersson,et al. Internet-supported versus face-to-face cognitive behavior therapy for depression , 2016, Expert review of neurotherapeutics.
[16] D. Mohr,et al. Going beyond killer apps: building a better mHealth evidence base , 2018, BMJ Global Health.
[17] Ralph Kimball,et al. The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling , 2013 .
[18] G. Andersson,et al. The effectiveness of guided internet-based cognitive behavioral therapy for social anxiety disorder in a routine care setting , 2018, Internet interventions.
[19] J. Kanter,et al. Behavioural activation: history, evidence and promise. , 2012, The British journal of psychiatry : the journal of mental science.
[20] Alice T. Sawyer,et al. The Efficacy of Cognitive Behavioral Therapy: A Review of Meta-analyses , 2012, Cognitive Therapy and Research.
[21] George Siemens,et al. Penetrating the fog: analytics in learning and education , 2014 .
[22] G. Andersson,et al. Guided Internet-Based CBT for Common Mental Disorders , 2013, Journal of Contemporary Psychotherapy.
[23] Yngve Lamo,et al. Development of an E-mental Health Infrastructure for Supporting Interoperability and Data Analysis , 2019 .
[24] Amy M. Sitapati,et al. Virtual Care 2.0—a Vision for the Future of Data-Driven Technology-Enabled Healthcare , 2019, Current Treatment Options in Cardiovascular Medicine.
[25] C. Adams,et al. Factors Associated With Dropout During Recruitment and Follow-Up Periods of a mHealth-Based Randomized Controlled Trial for Mobile.Net to Encourage Treatment Adherence for People With Serious Mental Health Problems , 2017, Journal of medical Internet research.
[26] Linda Corrin,et al. Loop: A learning analytics tool to provide teachers with useful data visualisations , 2015 .
[27] Yngve Lamo,et al. A Visual Analytics Dashboard to support iCBT Therapists , 2019 .
[28] Wil M. P. van der Aalst,et al. Process Mining towards Semantics , 2008, Advances in Web Semantics I.