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  4. A hybrid artificial intelligence solution approach to aftercare for cancer patients
 
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2023
Journal Article
Title

A hybrid artificial intelligence solution approach to aftercare for cancer patients

Abstract
This publication presents a solution approach to oncological aftercare for cancer patients by means of artificial intelligence (AI) methods. This approach shall support patients in overcoming the after-effects of therapy effectively with suitable supportive actions and health-care professionals in goal-oriented planning of these actions. Different AI methods are used for analyzing patients’ needs for supportive actions depending on the available health data and for a monitoring of these actions. Decision support methods are used for effective planning of actions based on the AI results of analysis. The solution approach is realized in the form of a web application for health-care professionals, which allows for data analysis and planning of actions, and a mobile application for patients, which facilitates documentation and monitoring of supportive actions. In combination, they facilitate a closed-loop workflow for the effective cooperation of health-care professionals and cancer patients. 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  
Venios, Stefanos
Koussouris, Sotirios
Plakia, Maria
Diamantopoulos, Sotiris
Athanassopoulos, Sotiris
Laras, Paris
Mousa, Fihmi
Zifrid, Robert
Tillil, Hartmut
Musisi, Isa Wasswa
Kosmidis, Thanos
Reis, Joaquim C.
Moehler, Markus H.
Oestreicher, Gabrielle
Kalamaras, Ilias
Pantelidou, Konstantina
Votis, Konstantinos V.
Vassiliou, Charalampos
Journal
Neural computing & applications  
Open Access
DOI
10.1007/s00521-023-08765-w
Additional link
Full text
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
Keyword(s)
  • Artificial intelligence

  • Data analysis

  • Decision support

  • Oncological aftercare

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