Towards health (Aware) recommender systems

Hanna Schäfer; Santiago Hors-Fraile; Raghav Pavan Karumur; André Calero Valdez; Alan Said; Helma Torkamaan; Tom Ulmer; Christoph Trattner

doi:10.1145/3079452.3079499

Towards health (Aware) recommender systems

Hanna Schäfer, Santiago Hors-Fraile, Raghav Pavan Karumur, André Calero Valdez, Alan Said, Helma Torkamaan, Tom Ulmer, Christoph Trattner

Institut für Menschzentrierte Interaktive Systeme

124 Zitate (Scopus)

Abstract

People increasingly use the Internet for obtaining information regarding diseases, diagnoses and available treatments. Currently, many online health portals already provide non-personalized health information in the form of articles. However, it can be challenging to find information relevant to one's condition, interpret this in context, and understand the medical terms and relationships. Recommender Systems (RS) already help these systems perform precise information filtering. In this short paper, we look one step ahead and show the progress made towards RS helping users find personalized, complex medical interventions or support them with preventive healthcare measures. We identify key challenges that need to be addressed for RS to offer the kind of decision support needed in high-risk domains like healthcare.

Originalsprache	Deutsch
Titel	7th International Conference on Digital Health, DH 2017 : ACM International Conference Proceeding Series
Herausgeber (Verlag)	ACM
Erscheinungsdatum	02.07.2017
Seiten	157-161
DOIs	https://doi.org/10.1145/3079452.3079499
Publikationsstatus	Veröffentlicht - 02.07.2017

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Dokumente

10.1145/3079452.3079499

Zitieren

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title = "Towards health (Aware) recommender systems",

abstract = "People increasingly use the Internet for obtaining information regarding diseases, diagnoses and available treatments. Currently, many online health portals already provide non-personalized health information in the form of articles. However, it can be challenging to find information relevant to one's condition, interpret this in context, and understand the medical terms and relationships. Recommender Systems (RS) already help these systems perform precise information filtering. In this short paper, we look one step ahead and show the progress made towards RS helping users find personalized, complex medical interventions or support them with preventive healthcare measures. We identify key challenges that need to be addressed for RS to offer the kind of decision support needed in high-risk domains like healthcare.",

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AU - Ulmer, Tom

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