A Personalized Bayesian Approach for Early Intervention in Gestational Weight Gain Management Toward Pregnancy Care

Autor: Chetanya Puri, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Jo Hua, Nan Huang, Henry Ma, Yafang Jin, Fan Ling, Guanghui Li, Dongtao Zhang, Xiaochun Wang, Stijn Luca, Bart Vanrumste

Publikováno v: IEEE Access, Vol 9, Pp 160946-160957 (2021)

Pre-pregnancy body mass index and weight gain management are associated with pregnancy outcomes in expecting women. Poor gestational weight gain (GWG) management could increase the risk of adverse complications. These risks can be alleviated by lifes

Externí odkaz: https://doaj.org/article/7f16a320849f413c879d5e668a41283a

Forecasting time series in healthcare with Gaussian processes and Dynamic Time Warping based subset selection

Autor: Chetanya Puri, Gerben Kooijman, Bart Vanrumste, Stijn Luca

Publikováno v: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

Modelling real-world time series can be challenging in the absence of sufficient data. Limited data in healthcare, can arise for several reasons, namely when the number of subjects is insufficient or the observed time series is irregularly sampled at

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc7cedede68bb6bebe89dee95e9d74c0
https://pubmed.ncbi.nlm.nih.gov/36227825

Gestational weight gain prediction using privacy preserving federated learning

Autor: Chetanya Puri, Koustabh Dolui, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Sam Michiels, Hans Hallez, Stijn Luca, Bart Vanrumste

Publikováno v: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Gestational weight gain prediction in expecting women is associated with multiple risks. Manageable interventions can be devised if the weight gain can be predicted as early as possible. However, training the model to predict such weight gain require

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc546080127b0617576829c3a491df7a
https://biblio.ugent.be/publication/8729916/file/8729918

Privacy preserving pregnancy weight gain management - demo abstract

Autor: Bart Vanrumste, Sam Michiels, Koustabh Dolui, Gerben Kooijman, Felipe Maia Masculo, Stijn Luca, Sebastiaan Den Boer, Shannon Van Sambeek, Chetanya Puri, Hans Hallez

Publikováno v: Proceedings of the 17th Conference on Embedded Networked Sensor Systems
SenSys

Early gestational weight gain prediction can help expecting women overcome several associated risks. However, training the model requires access to centrally stored privacy sensitive weight and other meta-data. In this demo, we present a privacy pres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::585d5d92a1988cc6e480c06893d9ce77

Influence of mean flow profile and geometrical ratios on scattering of sound at a sudden area expansion in a duct

Autor: G Gerben Kooijman, A Avraham Hirschberg, Yves Aurégan

Publikováno v: Journal of sound and vibration, 329(5), 607-626. Academic Press Inc.
Journal of Sound and Vibration, 329(5), 607-626. Academic Press Inc.
Journal of Sound and Vibration
Journal of Sound and Vibration, Elsevier, 2010, 329 (5), pp.607-626. ⟨10.1016/j.jsv.2009.09.021⟩

The scattering of sound at a sudden area expansion in a duct with subsonic mean flow has been modelled with a multimodal method. Technological applications are for instance internal combustion engine exhaust silencers and silencers in industrial duct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b3ec8eaa73081469f99079b56178a2f
https://research.utwente.nl/en/publications/76be6e2d-8abe-45f3-bb83-fddb8d28b9d5