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ASCAPE : An open AI ecosystem to support the quality of life of cancer patients

Lampropoulos, Konstantinos (author)
University of Patras, Department of Electrical and Computer Engineering, Patras, Greece
Kosmidis, Thanos (author)
CareAcross Research, CareAcross LTD, London, United Kingdom
Autexier, Serge (author)
German Research Center for Artificial Intelligence (DFKI), RD Cyber-Physical Systems, Bremen, Germany
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Savic, Milos (author)
University of Novi Sad, Division of Informatics, Faculty of Sciences, Novi Sad, Serbia
Athanatos, Manos (author)
Institute of Computer Science, Foundation for Research and Technology - Hellas, Heraklion, Crete, Greece
Kokkonidis, Miltiadis (author)
International S.A., Research and Innovation Development INTRASOFT, Luxembourg, Luxembourg
Koutsouri, Tzortzia (author)
SPHYNX Technology Solutions AG, SPHYNX Research, Zug, Switzerland
Vizitiu, Anamaria (author)
Transilvania University of Brasov, Department of Automation and Information Technology, Brasov, Romania; Advanta, Siemens SRL, Brasov, Romania
Valachis, Antonis, 1984- (author)
Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Department of Oncology
Padron, Miriam Quintero (author)
Atos S.A.E, Atos Research and Innovation, Madrid, Spain
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 (creator_code:org_t)
IEEE Computer Society, 2021
2021
English.
In: 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI). - : IEEE Computer Society. - 9781665401326 - 9781665429801 ; , s. 301-310
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • The latest cancer statistics indicate a decrease in cancer-related mortality. However, due to the growing and ageing population, the absolute number of people living with cancer is set to keep increasing. This paper presents ASCAPE, an open AI infrastructure that takes advantage of the recent advances in Artificial Intelligence (AI) and Machine Learning (ML) to support cancer patients' quality of life (QoL). With ASCAPE health stakeholders (e.g. hospitals) can locally process their private medical data and then share the produced knowledge (ML models) through the open AI infrastructure.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Annan hälsovetenskap (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Other Health Sciences (hsv//eng)

Keyword

Quality-of-life
Artificial intelligence
intelligent systems
Machine Learning
Cancer Patients

Publication and Content Type

ref (subject category)
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