Skip to main content

Decision Support Systems to Promote Health and Well-Being of People During Their Working Age: The Case of the WorkingAge EU Project

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 12471)


The WorkingAge project aims at improving the psycho-physical condition of workers, with a special focus on ageing subjects. In this context, a Decision Support System, based on a hybrid data-driven/model-driven approach, fed with data coming from environmental and wearable sensors, aims to provide personalised advises to the worker. In this paper we briefly present the WorkingAge project and architecture, and then focus on the decision-making pipeline that, starting from raw data, generates the advises.


  • Occupational Safety
  • Decision support systems for health at work
  • Suggestion of health strategies
  • Occupational ontology

This project has received funding from the European Union’s Horizon 2020 research and innovation programme, under grant agreement N. 826232.

This is a preview of subscription content, access via your institution.

Buying options

USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions


  1. 1.


  1. Birkel, H.S., et al.: Development of a risk framework for industry 4.0 in the context of sustainability for established manufacturers. Sustainability 11(2), 384 (2019)

    CrossRef  Google Scholar 

  2. Calzavara, M., Battini, D., Bogataj, D., Sgarbossa, F., Zennaro, I.: Ageing workforce management in manufacturing systems: state of the art and future research agenda. Int. J. Prod. Res. 58(3), 729–747 (2020)

    CrossRef  Google Scholar 

  3. Chen, H., Hou, C., Zhang, L., Li, S.: Comparative study on the strands of research on the governance model of international occupational safety and health issues. Saf. Sci. 122, 104513 (2020)

    CrossRef  Google Scholar 

  4. Cheng, Z., Nielsen, I., Cutler, H.: Perceived job quality, work-life interference and intention to stay. Int. J. Manpow. 40, 17–35 (2019)

    CrossRef  Google Scholar 

  5. Cresswell, K., et al.: Investigating the use of data-driven artificial intelligence in computerised decision support systems for health and social care: a systematic review. Health Inform. J. 26, 2138–2147 (2020)

    CrossRef  Google Scholar 

  6. Darabont, D.C., Bejinariu, C., Baciu, C., Bernevig-Sava, M.A.: Modern approaches in integrated management systems of quality, environmental and occupational health and safety. Calitatea 20(S1), 105 (2019)

    Google Scholar 

  7. Fierens, D., et al.: Inference and learning in probabilistic logic programs using weighted Boolean formulas. Theor. Pract. Log. Program. 15(3), 358–401 (2015)

    CrossRef  MathSciNet  Google Scholar 

  8. Fitzpatrick, M.D., Moore, T.J.: The mortality effects of retirement: evidence from social security eligibility at age 62. J. Public Econ. 157, 121–137 (2018)

    CrossRef  Google Scholar 

  9. Fugini, M., et al.: WorkingAge: providing occupational safety through pervasive sensing and data driven behavior modeling. In: Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference. Research Publishing (2020)

    Google Scholar 

  10. Golightley, M., Goemans, R.: Social Work and Mental Health. SAGE Publishing, Thousand Oaks (2020)

    Google Scholar 

  11. Grant, A., Stober, D.: Evidence Based Coaching Handbook: Putting Best Practices to Work for Your Clients. Wiley, Hoboken (2006)

    Google Scholar 

  12. Grosch, J.W., Scholl, J.C.: Designing age-friendly workplaces: an occupational health perspective. In: Czaja, S.J., Sharit, J., James, J.B. (eds.) Current and Emerging Trends in Aging and Work, pp. 429–451. Springer, Cham (2020).

    CrossRef  Google Scholar 

  13. Kalteh, H.O., Mortazavi, S.B., Mohammadi, E., Salesi, M.: The relationship between safety culture and safety climate and safety performance: a systematic review. Int. J. Occup. Saf. Ergon. 24, 1–11 (2019)

    CrossRef  Google Scholar 

  14. Lodh, N., Sil, J., Bhattacharya, I.: Graph based clinical decision support system using ontological framework. In: Mandal, J.K., Dutta, P., Mukhopadhyay, S. (eds.) CICBA 2017. CCIS, vol. 776, pp. 137–152. Springer, Singapore (2017).

    CrossRef  Google Scholar 

  15. Mabkhot, M.M., Amri, S.K., Darmoul, S., Al-Samhan, A.M., Elkosantini, S.: An ontology-based multi-criteria decision support system to reconfigure manufacturing systems. IISE Trans. 52(1), 18–42 (2020)

    CrossRef  Google Scholar 

  16. Moreira, M., Rodrigues, J., Korotaev, V., Al-Muhtadi, J., Kumar, N.: A comprehensive review on smart decision support systems for health care. IEEE Syst. J. 13(3), 3536–3545 (2019)

    CrossRef  Google Scholar 

  17. Pease, S.G., et al.: An interoperable semantic service toolset with domain ontology for automated decision support in the end-of-life domain. Future Gener. Comput. Syst. 112, 848–858 (2020)

    CrossRef  Google Scholar 

  18. Petnga, L., Austin, M.: An ontological framework for knowledge modeling and decision support in cyber-physical systems. Adv. Eng. Inform. 30(1), 77–94 (2016)

    CrossRef  Google Scholar 

  19. Roughton, J., Crutchfield, N., Waite, M.: Safety Culture: An Innovative Leadership Approach. Butterworth-Heinemann, Oxford (2019)

    Google Scholar 

  20. Arbeitswissenschaft. Springer, Heidelberg (2018).

  21. Vujica Herzog, N., Harih, G.: Decision support system for designing and assigning ergonomic workplaces to workers with disabilities. Ergonomics 63(2), 225–236 (2020)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Gerardo Pelosi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Resende de Almeida, R.M. et al. (2020). Decision Support Systems to Promote Health and Well-Being of People During Their Working Age: The Case of the WorkingAge EU Project. In: Orailoglu, A., Jung, M., Reichenbach, M. (eds) Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2020. Lecture Notes in Computer Science(), vol 12471. Springer, Cham.

Download citation

  • DOI:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60938-2

  • Online ISBN: 978-3-030-60939-9

  • eBook Packages: Computer ScienceComputer Science (R0)