I am a tenured researcher at the Information and Computing Sciences (ICS) department of Utrecht University (UU) in the Netherlands. As principle investigator in the department's Applied Data Science Lab, my research centres around Analytic Systems in Applied Data Science with special attention to Health Analytic Systems.

Please refer to my Research Theme page for more information, or my Research Projects page for active projects in this theme.
 
Theme

Bio in 95 words

Marco Spruit is a tenured researcher at the Information and Computing Sciences department of Utrecht University in the Netherlands. As principle investigator in the department's Applied Data Science LabMarco’s research centres around Analytic Systems in Applied Data Science with special attention to Health Analytic Systems. Marco serves on the editorial boards of the international journals on Decision Analytics, Business Intelligence Research, Semantic Web and Information Systems, Autonomic Computing, and Computer Information Systems. Before 2007 Marco worked in industry as a software developer for fourteen years in the fields of Business Intelligence and Text Analytics.


Top 5 Publications

  1. Spruit,M., & Jagesar,R. (2016). Power to the People! Meta-algorithmic modelling in applied data science. In Fred,A. et al. (Ed.), Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 400–406). KDIR 2016, November 11-13, 2016, Porto, Portugal: ScitePress. [pdf] [online]
  2. Spruit,M., Vroon,R., & Batenburg,R. (2014). Towards healthcare business intelligence in long-term care: an explorative case study in the Netherlands. Computers in Human Behavior, 30, 698–707. [ISI impact factor: 3.435] [pdf] [online]
  3. Meulendijk,M., Spruit,M., Drenth-van Maanen,C., Numans,M., Brinkkemper,S., Jansen,P., & Knol,W (2015). Computerized decision support improves medication review effectiveness: an experiment evaluating the STRIP Assistant’s usability. Drugs & Aging, 32(6), 495–503. [ISI impact factor: 2.769] [pdf] [online]
  4. Pachidi,S., Spruit,M., & Weerd,I. van der (2014). Understanding Users' Behavior with Software Operation Data Mining. Computers in Human Behavior, 30, 583–594. [ISI impact factor: 3.435] [pdf] [online]
  5. Menger,V., Scheepers,F., Wijk,L. van, & Spruit,M. (In press). DEDUCE: A pattern matching method for automatic de-identification of Dutch medical text. Telematics and Informatics. [ISI impact factor: 3.398] [online]


Top 5 Projects

  1. OPERAMOPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly (2015-2020). PhD and postdoc position to further develop the STRIP Assistant (STRIPA) prescriptive analytics platform as the intervention instrument in a multi-language RCT. Type: Competitive funding (Horizon2020).
  2. SMESEC: Protecting Small and Medium-sized Enterprises digital technology through an innovative cyber-SECurity framework (2017-2020). PhD position and PI time to further develop the ISFAM family of information security maturity models. Type: Competitive funding (Horizon2020).
  3. TAF21: Text Analytics for 21st Century Fisheries (2015 – 2018). PhD Project for Early Stage Researcher (ESR) 7 at Manchester Metropolitan University (MMU). Type: Competitive funding (Horizon2020).
  4. STRIMP: STRIMP: Implementation of the STRIP Assistant to improve the STRIP medication review (2017 – 2019). Scientific programmer for two years to integrate the STRIP Assistant within Dutch daily primary care. Type: Competitive funding (ZonMW).
  5. PRAISE: Psychiatry Research Analytics InfraStructurE (2015-2019). PhD Project in the Big Data Psychiatry programme on an interorganisational integration architecture & interactive analytics platform. Type: Research collaboration.
Subpages (2): Projects Team