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iHelp: Delivery Mechanisms for Personalised Healthcare and Real-Time Feedback I

Name: iHelp: Delivery Mechanisms for Personalised Healthcare and Real-Time Feedback I
Keywords: pancreatic cancer, iHelp, Personalised Healthcare

descriptionPublicationkeyboard_double_arrow_right Project deliverable , Other literature type 29 Apr 2022 English Publisher:ZenodoFunded by:EC | iHELP

Authors: Akker, Harm Op Den; Beinema, Tessa; Aristodemos Pnevmatikakis; Spanos, Spyros; Kanavos, Sofoklis; Pantazidis, Anastasios; Vaggelis Tzironis; +3 Authors

doi: 10.5281/zenodo.7692257 , 10.5281/zenodo.7692256

iHelp: Delivery Mechanisms for Personalised Healthcare and Real-Time Feedback I

- Summary
- Subjects
- Metrics

Abstract

The objective of this deliverable is to report on the developments regarding the delivery mechanisms for personalised healthcare and real-time feedback in the first phase of the iHelp project. This is the first version of a series of deliverables of this task, which seeks to deliver the user-centric smart application to support the delivery of personalized healthcare through the use of mobile, IoT and wearable technologies. To this end, this deliverable provides information on the user centric application through which the personalised healthcare solutions are delivered. It also describes the design and implementation of the software interfaces and personalised engagement strategies that will be used to deliver the personalised recommendations and gather feedback. Ultimately, this report accompanies the software that has been developed as part of the T5.3 (“Delivery Mechanisms for Personalised Healthcare and Real-time Feedback”) until M16 of the iHelp project. An updated and final version of this document will be released on M32.

Keywords

pancreatic cancer, iHelp, Personalised Healthcare

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average