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  4. Digitally Assisted Planning and Monitoring of Supportive Recommendations in Cancer Patients
 
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2022
Conference Paper
Title

Digitally Assisted Planning and Monitoring of Supportive Recommendations in Cancer Patients

Abstract
This publication presents a solution approach for digitally assisted planning and monitoring of supportive recommendations in cancer patients. This solution approach shall support patients in overcoming the after-effects of therapy effectively without extensive involvement of health professionals. Health professionals and patients are provided with a web application and a mobile application respectively, which use methods from mathematical decision support and artificial intelligence. This technological basis facilitates a closed-loop workflow for the cooperation of health professional and patient in oncological aftercare. The solution approach is illustrated for an exemplary case scenario of colorectal cancer.
Author(s)
Scherrer, Alexander  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Zimmermann, Tobias  
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Riedel, Sinan
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Mousa, F.
MCS Data Labs GmbH
Wasswa-Musisi, I.
MCS Data Labs GmbH
Zifrid, R.
MCS Data Labs GmbH
Tillil, H.
MCS Data Labs GmbH
Ulrich, P.
MCS Data Labs GmbH
Kosmidis, T.
CareAcross Ltd
Reis, J.
Associação para a Investigação e Desenvolvimento de Ciências
Oestreicher, G.
Universitätsmedizin Mainz
Möhler, M.
Universitätsmedizin Mainz
Kalamaras, I.
Centre for Research and Technology Hellas
Votis, K.
Centre for Research and Technology Hellas
Venios, S.
Suite5 Data Intelligence Solutions Limited
Plakia, M.
Exus Software Ltd
Diamantopoulos, S.
Exus Software Ltd
Mainwork
Artificial intelligence applications and innovations. AIAI 2022 IFIP WG 12.5 International Workshops  
Project(s)
A digital guardian angel enhancing cancer patient’s wellbeing and health status improvement following treatment.  
Funder
European Commission  
Conference
International Conference on Artificial Intelligence Applications and Innovations 2022  
Workshop on Machine Learning and Big Data in Health Care 2022  
Open Access
DOI
10.1007/978-3-031-08341-9_32
Additional link
Full text
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Keyword(s)
  • Artificial intelligence

  • Decision Support

  • Oncological aftercare

  • Patient monitoring

  • Supportive recommendation planning

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