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dr. L. Tjin-Kam-Jet - Siemons (Liseth)

About Me

Dr. Liseth Tjin-Kam-Jet – Siemons is epidemiologist and post-doc researcher at the Persuasive Health Technology Lab; Center for eHealth & Wellbeing Research; department of Psychology, Health & Technology; University of Twente, Enschede, the Netherlands. She studied organizational as well as health psychology and graduated with honors from the research master “Social Systems Evaluation and Survey Research”, within the track “Evaluation and Assessment in Health and Safety Psychology’”. She obtained her PhD in the measurement, modelling and monitoring of disease activity in patients with rheumatoid arthritis.

During her PhD Liseth followed a 3-month internship at the group of Prof. Dr. E. Krishnan from the School of Medicine at Stanford University (CA, USA), with whom she published several articles. She has been and is involved in several research projects as well as the supervision of PhD, master, and bachelor students. Also, Liseth hosted and organized several international conferences.

Her overall research interests and expertise lay in epidemiology, methodology and statistics, behavioral science, Big Data, disease outcomes, health technology (eHealth), and public health.

Expertise

Rheumatoid Arthritis
Joints
Blood Sedimentation
C-Reactive Protein
Health
Patient Reported Outcome Measures
Big Data
Hip Osteoarthritis
Joint Diseases
Rheumatology
Knee Osteoarthritis

Research

Liseth her overall research interests and expertise lay in epidemiology, methodology and statistics, behavioral science, Big Data, disease outcomes, health technology (eHealth), and public health.

Publications

Recent
Siemons, L., Sieverink, F., Vollenbroek, W., van de Wijngaert, L., Braakman-Jansen, A., & van Gemert-Pijnen, L. (2016). Big Data for personalized healthcare. International journal on advances in systems and measurements, 9(3/4), 220-229.
van Gemert-Pijnen, J. E. W. C., Sieverink, F., Tjin-Kam-Jet-Siemons, L., & Wesselink, R. (2016). Bijeenkomst Twente TEACH. Paper presented at Bijeenkomst Twente TEACH, Almelo, Netherlands.
van Gemert-Pijnen, L., Kulyk, O., Siemons, L., & Oinas-Kukkonen, H. (2016). EPIC for Change, the Pillars for Persuasive Technology for Smart Societies: Preface. In A. Meschtscherjakov, B. de Ruyter, V. Fuchsberger, M. Murer, & M. Tscheligi (Eds.), BCSS 2016: Behavior Change Support Systems: Proceedings of the Fourth International Workshop on Behavior Change Support Systems (CEUR Workshop Proceedings; Vol. 1573). CEUR-WS.org.
Sieverink, F., Kelders, S. M., Akkersdijk, S., Poel, M., Tjin-Kam-Jet-Siemons, L., & van Gemert-Pijnen, J. E. W. C. (2016). Work in progress: a protocol for the collection, analysis, and interpretation of log data from eHealth technology. In O. Kulyk, L. Siemons, H. Oinas-Kukkonen, & L. van Gemert-Pijnen (Eds.), Proceedings of the Fourth International Workshop on Behavior Change Support Systems co-located with the 11th International Conference on Persuasive Technology (pp. 56-60)
Kulyk, O. A., Tjin-Kam-Jet-Siemons, L., Oinas-Kukkonen, H., & van Gemert-Pijnen, J. E. W. C. (2016). Fourth International Workshop on Behavior Change Support Systems (BCSS'16): Epic for Change, the Pillars for Persuasive Technology for Smart Societies. In A. Meschtscherjakov, B. de Ruyter, V. Fuchsberger, M. Murer, & M. Tscheligi (Eds.), Adjunct proceedings of the 11th International Conference on Persuasive Technology, PERSUASIVE 2016 (pp. 92-95). Salzburg, Austria: Center for Human-Computer Interaction, Department of Computer Science, University of Salzburg.
Fries, J. F., Lingala, B., Tjin-Kam-Jet-Siemons, L., Glas, C. A. W., Cella, D., Hussain, Y. N., ... Krishnan, E. (2014). Extending the Floor and the Ceiling for Assessment of Physical Function. Arthritis & rheumatology, 66(5), 1378-1387. DOI: 10.1002/art.38342
Tjin-Kam-Jet-Siemons, L., & Krishnan, E. (2014). A short tutorial on item response theory in rheumatology. Clinical and experimental rheumatology, 32(4), 581-586.
Bode, C., Botterman, J., Tjin-Kam-Jet-Siemons, L., van de Laar, M. A. F. J., & Dekker, J. (2014). Exploring fatigue patterns over time in early osteaoarthritis: results of the CHECK study. -. Poster session presented at 3rd Annual Conference of the Association for Researchers in Psychology and Health (ARPH) 2014, Groningen, Netherlands.
Bode, C., Botterman, J., Tjin-Kam-Jet-Siemons, L., van de Laar, M. A. F. J., & Dekker, J. (2014). Exploring fatigue patterns over time in early osteoarthritis: results of the CHECK study. -. Poster session presented at 13th International Congress of Behavioral Medicine (ICBM), Groningen, Netherlands.

Education

(Given) education over the years
  • Statistics and methodology
  • Research assignment Bachelor 2
  • Monitoring and Persuasive Coaching
  • Supervisor of bachelor, master, and PhD students

Projects

Currently, research focuses on:

  1. The use of Big Data for Personalized, Persuasive, and Safe Healthcare
    What factors that are crucial for using and managing big data to support the growing needs for personalized and cost-effective healthcare? We want to better understand how to use data from large and complex datasets in an effective, efficient, secure and safe way to design real-time, accurate, persuasive and personalized feedback systems.
  2. ePublic Health: Developing an interactive platform for tailored risk communication to prevent non-alimentary zoonotic diseases
    Developing a web-based communication dashboard (i.e. the eZoon dashboard) to reduce uncertainties and to foster individual and collective protective actions against zoonotic hazards and disasters. An adaptive Question and Answer system and e-learning game for professionals and the general public will be part of the eZoon dashboard to increase awareness, self-management via self-learning, and user-adaptive communication.
  3. Predicting infection outbreaks: a data-driven approach
    Drug-resistant infections are one of the most serious and growing treats to public health. Rather than merely monitoring infection spread, this project aims to predict upcoming infection outbreaks based on clinical data, mobility data, and geo-data, that would enable precautions to be taken in time.

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands