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2020 | OriginalPaper | Buchkapitel

Health Recommendation System Framework for the Optimization of Medical Decisions

verfasst von : Luis Terán, Jhonny Pincay, Diana Pacheco, Martin Štěpnička, Daniel Simancas-Racines

Erschienen in: Cognitive Computing

Verlag: Springer Fachmedien Wiesbaden

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Abstract

The introduction of recommendation systems for the health sector has opened additional channels to improve the decision-making of physicians and administrators of the healthcare system. Web-based and mobile applications, social networks and virtual communities could improve these processes. The Internet provides a huge amount of information; therefore, the creation of intelligent mechanisms and tools, such as the ones proposed, allows physicians and the health sector to be better informed in the decision-making process while improving communication channels. In this work, a theoretical framework for the design and implementation of the so-called project MedicGate, a smart social network to optimize medical decisions using cognitive computing is presented. The expectation is that this initiative will have an impact on those responsible for the generation of health policies, by providing information and resources for decision-making through informed knowledge and feedback from the medical and academic sector.

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Titel: Health Recommendation System Framework for the Optimization of Medical Decisions
verfasst von: Luis Terán
Jhonny Pincay
Diana Pacheco
Martin Štěpnička
Daniel Simancas-Racines
Verlag: Springer Fachmedien Wiesbaden
Buch: Cognitive Computing
Print ISBN: 978-3-658-27940-0

Electronic ISBN: 978-3-658-27941-7

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-658-27941-7_11

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