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CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 12721)

Abstract

The CAncer PAtient Better Life Experience (CAPABLE) project combines the most advanced technologies for data and knowledge management with a socio-psychological approach, to develop a coaching system for improving the quality of life of cancer patients managed at home. The team includes complementary expertise in data- and knowledge-driven AI, data integration, telemedicine and decision support. The time is right to fully exploit Artificial Intelligence for cancer care and bring the benefits right to patients’ homes. CAPABLE relies on predictive models based on both retrospective and prospective data, integrated with computer interpretable guidelines and made available to oncologists. CAPABLE’s Virtual Coach component identifies unexpected needs and provides patient-specific decision support and lifestyle guidance to improve mental and physical wellbeing of patients. The demo, designed around a use-case scenario developed with clinicians involved in the project, addresses the ESMO Diarrhea guideline. It revolves around a prototypical fictional patient named Maria. Maria, 66, is affected by renal cell carcinoma and moderate insomnia. The demo follows Maria during the first three days of using the CAPABLE system. This allows the audience to understand the scope and innovation behind this AI-based decision-support and coaching system that personalizes lifestyle and medication interventions to patients, their carer and clinicians.

Keywords

  • Cancer
  • Side effects
  • Personalization
  • Coaching
  • Guideline
  • FAIR
  • FHIR
  • OMOP
  • AI
  • mHealth

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  • DOI: 10.1007/978-3-030-77211-6_34
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Notes

  1. 1.

    The CAPABLE project has received funding from the European Union’s Horizon 2020 research programme under grant agreement No 875052. www.capable-project.eu.

  2. 2.

    cht.unipv.it.

  3. 3.

    www.unipv-lawtech.eu.

References

  1. Boele, F., Harley, C., Pini, S., Kenyon, L., Daffu-O’Reilly, A., Velikova, G.: Cancer as a chronic illness: support needs and experiences. BMJ Support. Palliative Care (2019). https://doi.org/10.1136/bmjspcare-2019-001882

  2. Gabetta, M., Parimbelli, E.: CAPABLE D4.1: 1st Iteration of the Platform Proof Of Concept (2020). https://doi.org/10.5281/zenodo.4540457

  3. Parimbelli, E., Cornet, R., Gabetta, M., Tibollo, V., Bottalico, B., et al.: CAPABLE D1.2: Data Management Plan (2020). https://doi.org/10.5281/zenodo.3970580

  4. Schmidt, P., Reiss, A., Duerichen, R., Marberger, C., Van Laerhoven, K.: Introducing WESAD, a multimodal dataset for wearable stress and affect detection. In: 20th ACM International Conference on Multimodal Interaction, New York, NY, USA, pp 400–408 (2018). https://doi.org/10.1145/3242969.3242985

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Parimbelli, E. et al. (2021). CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration. In: Tucker, A., Henriques Abreu, P., Cardoso, J., Pereira Rodrigues, P., Riaño, D. (eds) Artificial Intelligence in Medicine. AIME 2021. Lecture Notes in Computer Science(), vol 12721. Springer, Cham. https://doi.org/10.1007/978-3-030-77211-6_34

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  • DOI: https://doi.org/10.1007/978-3-030-77211-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77210-9

  • Online ISBN: 978-3-030-77211-6

  • eBook Packages: Computer ScienceComputer Science (R0)