A hybrid artificial intelligence solution approach to aftercare for cancer patients

被引：0

作者：

Scherrer, Alexander ^{[1
]}

Zimmermann, Tobias ^{[1
]}

Riedel, Sinan ^{[1
]}

Venios, Stefanos ^{[2
]}

Koussouris, Sotiris ^{[2
]}

Plakia, Maria ^{[3
]}

Diamantopoulos, Sotiris ^{[3
]}

Athanassopoulos, Sotiris ^{[4
]}

Laras, Paris ^{[4
]}

Mousa, Fihmi ^{[5
]}

Zifrid, Robert ^{[5
]}

Tillil, Hartmut ^{[5
]}

Musisi, Isa Wasswa ^{[5
]}

Kosmidis, Thanos ^{[6
]}

Reis, Joaquim C. C. ^{[7
]}

Moehler, Markus ^{[8
]}

Oestreicher, Gabrielle ^{[8
]}

Kalamaras, Ilias ^{[9
]}

Pantelidou, Konstantina ^{[9
]}

Votis, Konstantinos ^{[9
]}

Vassiliou, Charalampos ^{[10
]}

机构：

[1] Fraunhofer Inst Ind Math ITWM, Fraunhofer Pl 1, D-67663 Kaiserslautern, Germany

[2] Suite5 Data Intelligence Solut Ltd, 1 Archiepiskopou Makariou III Mitsi Bu, CY-1065 Nicosia, Cyprus

[3] EXUS Software Ltd, Old Broad St 25 Tower 42, London EC2N 1PB, England

[4] Maggioli Spa, Via Carpino 8, I-47822 Santarcangelo, Italy

[5] MCS Data Labs GmbH, Bismarck Str 10-12, D-10625 Berlin, Germany

[6] Care Across Ltd, 1 Kings Ave, London N21 3NA, England

[7] Univ Lisbon, Fac Ciencias, Inst Biofis & Engn Biomed, P-1749016 Lisbon, Portugal

[8] Johannes Gutenberg Univ Mainz, Univ Med Ctr, Langenbeckstr 1, D-55131 Mainz, Germany

[9] Ctr Res & Technol Hellas, Charilaou Thermi Rd 6 Km, Thermi 57001, Greece

[10] INNOSYST M IKE, Aooy 10, Athens 11523, Greece

来源：

NEURAL COMPUTING & APPLICATIONS | 2023年 / 35卷 / 29期

基金：

欧盟地平线“2020”;

关键词：

Oncological aftercare; Artificial intelligence; Data analysis; Decision support;

D O I：

10.1007/s00521-023-08765-w

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：21381 / 21397

页数：17

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