When Ants Take Care of Humans: ACO for Home-Care Services Planning Optimization...17th World Congress of Medical and Health Informatics, 25-30 August 2019, Lyon, France
Current planning approaches for home care services do not generally support the social and human dimension of planning. They focus on optimization criteria that are easily quantifiable, such as the cost. Whereas other criteria such as the quality of the relationship between caregivers and beneficiar...
| Publicado en: | Studies in Health Technology & Informatics Vol. 264; pp. 546 - 551 |
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| Autores principales: | , , |
| Formato: | proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=138945782&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138945782 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2019 vid: 264 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 138945782 138945782 138945782 10.3233/SHTI190282 138945782 ppf: 546 ppct: 5 formats: tig: atl: When Ants Take Care of Humans: ACO for Home-Care Services Planning Optimization...17th World Congress of Medical and Health Informatics, 25-30 August 2019, Lyon, France aug: au: Chabane, Yahia Bortolaso, Christophe Derras, Mustapha affil: Berger-Levrault, France sug: subj: Algorithms Home Health Care Planning Techniques Congresses and Conferences France France Human Patient Satisfaction Patient-Family Relations Quantitative Studies Qualitative Studies ab: Current planning approaches for home care services do not generally support the social and human dimension of planning. They focus on optimization criteria that are easily quantifiable, such as the cost. Whereas other criteria such as the quality of the relationship between caregivers and beneficiaries or the satisfaction of the latter are important too as they can highly influence the planning. To address this issue, we investigate in this work the problem of planning optimization for home care service. We propose an extension of the classical ant colony optimization algorithms. Optimization is carried out by several classic criteria such as the cost along with social-based criteria such as the relationship between caregivers and beneficiaries. We also propose a flexible and expressive language to represent the constraints in the form of predicates that can include variables, constants and functions of the problem. This allows each organisation to add its own constraints. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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