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Operations research for health care ...

EURO Working Group "Operational Research Applied to Health Services"., Meeting (2022 :)

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Operations research for health care in red zone = ORAHS 2022, Bergamo, Italy, July 17-22 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Operations research for health care in red zone/ edited by Roberto Aringhieri ... [et al.].
Reminder of title:	ORAHS 2022, Bergamo, Italy, July 17-22 /
remainder title:	ORAHS 2022
other author:	Aringhieri, Roberto.
Corporate Body:	EURO Working Group "Operational Research Applied to Health Services".
Published:	Cham :Springer International Publishing : : 2023.,
Description:	xi, 81 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	A comparison of fairness metrics for health care problems -- An overview of benefits and limitations of the process model notation applied for modeling patient healthcare trajectory -- Machine Learning based Classication Models for COVID-19 Patients -- Integrating decision support tools in the COD-19 platform -- A semi-online ambulance routing and scheduling problem with complex patient-vehicle relations -- Towards a unified framework for routing and scheduling planning in an Integrated Continuous Care Unit.
Contained By:	Springer Nature eBook
Subject:	Health services administration - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-38537-7
ISBN:	9783031385377

Operations research for health care in red zone = ORAHS 2022, Bergamo, Italy, July 17-22 /
EURO Working Group "Operational Research Applied to Health Services".MeetingBergamo, Italy)2022 :

Operations research for health care in red zoneORAHS 2022, Bergamo, Italy, July 17-22 /[electronic resource] :ORAHS 2022edited by Roberto Aringhieri ... [et al.]. - Cham :Springer International Publishing :2023. - xi, 81 p. :ill. (some col.), digital ;24 cm. - AIRO springer series,v. 102523-7055 ;. - AIRO springer series ;v. 10..

A comparison of fairness metrics for health care problems -- An overview of benefits and limitations of the process model notation applied for modeling patient healthcare trajectory -- Machine Learning based Classication Models for COVID-19 Patients -- Integrating decision support tools in the COD-19 platform -- A semi-online ambulance routing and scheduling problem with complex patient-vehicle relations -- Towards a unified framework for routing and scheduling planning in an Integrated Continuous Care Unit.

ISBN: 9783031385377

Standard No.: 10.1007/978-3-031-38537-7doiSubjects--Topical Terms:

3134965
Health services administration
--Congresses.

LC Class. No.: RA971

Dewey Class. No.: 362.1068

Operations research for health care in red zone = ORAHS 2022, Bergamo, Italy, July 17-22 /
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505 0 $a A comparison of fairness metrics for health care problems -- An overview of benefits and limitations of the process model notation applied for modeling patient healthcare trajectory -- Machine Learning based Classication Models for COVID-19 Patients -- Integrating decision support tools in the COD-19 platform -- A semi-online ambulance routing and scheduling problem with complex patient-vehicle relations -- Towards a unified framework for routing and scheduling planning in an Integrated Continuous Care Unit.
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