학술논문
A hybrid artificial intelligence solution approach to aftercare for cancer patients
Document Type
Original Paper
Author
Scherrer, Alexander; Zimmermann, Tobias; Riedel, Sinan; Venios, Stefanos; Koussouris, Sotiris; Plakia, Maria; Diamantopoulos, Sotiris; Athanassopoulos, Sotiris; Laras, Paris; Mousa, Fihmi; Zifrid, Robert; Tillil, Hartmut; Musisi, Isa Wasswa; Kosmidis, Thanos; Reis, Joaquim C.; Moehler, Markus; Oestreicher, Gabrielle; Kalamaras, Ilias; Pantelidou, Konstantina; Votis, Konstantinos; Vassiliou, Charalampos
Source
Neural Computing and Applications. 35(29):21381-21397
Subject
Language
English
ISSN
0941-0643
1433-3058
1433-3058
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.