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ASCAPE :
ASCAPE : An open AI ecosystem to support the quality of life of cancer patients
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- Lampropoulos, Konstantinos (author)
- University of Patras, Department of Electrical and Computer Engineering, Patras, Greece
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- Kosmidis, Thanos (author)
- CareAcross Research, CareAcross LTD, London, United Kingdom
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- 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
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- Athanatos, Manos (author)
- Institute of Computer Science, Foundation for Research and Technology - Hellas, Heraklion, Crete, Greece
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- Kokkonidis, Miltiadis (author)
- International S.A., Research and Innovation Development INTRASOFT, Luxembourg, Luxembourg
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- Koutsouri, Tzortzia (author)
- SPHYNX Technology Solutions AG, SPHYNX Research, Zug, Switzerland
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- Vizitiu, Anamaria (author)
- Transilvania University of Brasov, Department of Automation and Information Technology, Brasov, Romania; Advanta, Siemens SRL, Brasov, Romania
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- Valachis, Antonis, 1984- (author)
- Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Department of Oncology
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- 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.
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In: 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI). - : IEEE Computer Society. - 9781665401326 - 9781665429801 ; , s. 301-310
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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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)
- kon (subject category)
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- By the author/editor
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Lampropoulos, Ko ...
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Kosmidis, Thanos
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Autexier, Serge
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Savic, Milos
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Athanatos, Manos
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Kokkonidis, Milt ...
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show more...
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Koutsouri, Tzort ...
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Vizitiu, Anamari ...
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Valachis, Antoni ...
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Padron, Miriam Q ...
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Computer Science ...
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Cancer and Oncol ...
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Health Sciences
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and Other Health Sci ...
- Articles in the publication
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2021 IEEE 9th In ...
- By the university
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Örebro University