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Serrano Fernández, Emilio and Bajo Pérez, Javier (2017). Towards social care prediction services aided by multi-agent systems. In: "10th International Workshop, A2HC 2017 and International Workshop, A-HEALTH 2017", 21 Jun 2017, Oporto, Portugal. ISBN 978-3-319-70886-7. pp. 119-130. https://doi.org/10.1007/978-3-319-70887-4_7.
Title: | Towards social care prediction services aided by multi-agent systems |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 10th International Workshop, A2HC 2017 and International Workshop, A-HEALTH 2017 |
Event Dates: | 21 Jun 2017 |
Event Location: | Oporto, Portugal |
Title of Book: | Agents and Multi-Agent Systems for Health Care: A2HC 2017, AHEALTH 2017 |
Date: | 2017 |
ISBN: | 978-3-319-70886-7 |
Subjects: | |
Freetext Keywords: | Multi-agent systems; Human-agent societies; Social services; Machine learning |
Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
Department: | Inteligencia Artificial |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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Prediction models are widely used in insurance companies and health services. Even when 120 million people are at risk of suffering poverty or social exclusion in the EU, this kind of models are surprisingly unusual in the field of social services. A fundamental reason for this gap is the difficulty in labeling and annotating social services data. Conditions such as social exclusion require a case-by-case debate. This paper presents a multi-agent architecture that combines semantic web technologies, exploratory data analysis techniques, and supervised machine learning methods. The architecture offers a holistic view of the main challenges involved in labeling data and generating prediction models for social services. Moreover, the proposal discusses to what extent these tasks may be automated by intelligent agents.
Type | Code | Acronym | Leader | Title |
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Government of Spain | TIN2016-78011-C4-4-R | Unspecified | Universidad Politécnica de Madrid | Datos 4.0: retos y soluciones |
Item ID: | 50223 |
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DC Identifier: | http://oa.upm.es/50223/ |
OAI Identifier: | oai:oa.upm.es:50223 |
DOI: | 10.1007/978-3-319-70887-4_7 |
Official URL: | https://link.springer.com/chapter/10.1007/978-3-319-70887-4_7 |
Deposited by: | Memoria Investigacion |
Deposited on: | 05 Jun 2019 11:26 |
Last Modified: | 05 Jun 2019 11:26 |