Research output per year
Research output per year
Personal profile
Research interests
Data science
- Risk modelling in healthcare
- Outcome assessment of healthcare innovations
Natural Language Generation from data
Career
2014 ? now Honorary Fellow, Division of Neonatology, Department of Pediatrics, Leiden University Medical Center
2014 ? now Honorary Senior Fellow, School of Health Sciences, City University London
Acting as a project lead at Philips Research for significant reseach and innovation activities together with Philips business partners and their clinical customers in Philips-internal projects and EU co-funded projects (ACT, ASSEHS)
Acting as a leading scientist on data science for the research department Chronic Disease Management in Eindhoven (NL) and Cambridge (UK) addressing a wide academic network.
Acted as music informatics scientist at Philips Research researching algorithms for music recommendation, musical tempo, key, harmonic progression and melody recognition including end-user experiments.
Worked as language and speech scientist at Institute for Perception Research.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Honorary Fellow (Leiden University Medical Center)
3 Nov 2014 → …
Principal Scientist (Philips)
3 Apr 2000 → …
Honorary Fellow, Leiden University Medical Center
Principal Scientist, Philips Research
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Causal inference for latent Markov models using the parametric G-Formula
Clouth, F. J., Bijlsma, M. J., Pauws, S. & Vermunt, J. K., Sept 2025, (E-pub ahead of print) In: Sociological Methods & Research. 31 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Effectiveness of machine learning-based adjustments to an eHealth intervention targeting mild alcohol use
Derksen, M., van Beek, M., Blankers, M., Nasri, H., de Bruijn, T., Lommerse, N., van Wingen, G., Pauws, S. & Goudriaan, A. E., Apr 2025, In: European Addiction Research. 31, 1, p. 47-59 13 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Latent-class trajectory modeling with a heterogeneous mean-variance relation
Den Teuling, N. G. P., Ungolo, F., Pauws, S. C. & van den Heuvel, T. E. R., Oct 2025, In: Computational Statistics & Data Analysis. 210, 17 p., 108199.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
latrend: A Framework for Clustering Longitudinal Data
Pauws, S. & van den Heuvel, E., Mar 2025, In: The R Journal. 17, 1, p. 108-135 28 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
Helping Cancer Patients to Choose the Best Treatment: Towards Automated Data-Driven and Personalized Information Presentation of Cancer Treatment Options
Krahmer, E., Clouth, F., Hommes, S., Vromans, R., Pauws, S., Vermunt, J., van de Poll, L. & Verbeek, X., 2024, Commit2Data. Haverkort, B., de Jongste, A., van Kuilenburg, P. & Vromans, R. (eds.). Schloss Dagstuhl - Leibniz fuer Informatik, Vol. 124. p. 1-20 20 p. (Open Access Series in Informatics (OASIcs); vol. 124).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review
Open AccessFile54 Downloads (Pure)
Datasets
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A comparison of methods for clustering longitudinal data with slowly changing trends
Den, T. N. G. P. (Contributor), Pauws, S. C. (Creator) & van den Heuvel, E. R. (Creator), Taylor & Francis, 28 Feb 2023
DOI: 10.6084/m9.figshare.13611385.v3, https://tandf.figshare.com/articles/dataset/A_comparison_of_methods_for_clustering_longitudinal_data_with_slowly_changing_trends/13611385/3
Dataset