The Meikirch Model of Health fits well into the concept of ‘personalized health’

2014 ◽  
Vol 35 (3) ◽  
pp. 420-421
Author(s):  
Peter J Meier-Abt
Keyword(s):  
Meikirch Model ◽  
Personalized Health

scholarly journals EREBOTS: Privacy-Compliant Agent-Based Platform for Multi-Scenario Personalized Health-Assistant Chatbots

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 666
Author(s):  
Davide Calvaresi ◽  
Jean-Paul Calbimonte ◽  
Enrico Siboni ◽  
Stefan Eggenschwiler ◽  
Gaetano Manzo ◽  
...  
Keyword(s):  
Breast Cancer Survivors ◽  
Physical Conditioning ◽  
Privacy Management ◽  
Web Interface ◽  
Agent Based ◽  
Multimodal Interactions ◽  
Physical Exercises ◽  
Health Related ◽  
Health Assistant ◽  
Personalized Health

Context. Asynchronous messaging is increasingly used to support human–machine interactions, generally implemented through chatbots. Such virtual entities assist the users in activities of different kinds (e.g., work, leisure, and health-related) and are becoming ingrained into humans’ habits due to factors including (i) the availability of mobile devices such as smartphones and tablets, (ii) the increasingly engaging nature of chatbot interactions, (iii) the release of dedicated APIs from messaging platforms, and (iv) increasingly complex AI-based mechanisms to power the bots’ behaviors. Nevertheless, most of the modern chatbots rely on state machines (implementing conversational rules) and one-fits-all approaches, neglecting personalization, data-stream privacy management, multi-topic management/interconnection, and multimodal interactions. Objective. This work addresses the challenges above through an agent-based framework for chatbot development named EREBOTS. Methods. The foundations of the framework are based on the implementation of (i) multi-front-end connectors and interfaces (i.e., Telegram, dedicated App, and web interface), (ii) enabling the configuration of multi-scenario behaviors (i.e., preventive physical conditioning, smoking cessation, and support for breast-cancer survivors), (iii) online learning, (iv) personalized conversations and recommendations (i.e., mood boost, anti-craving persuasion, and balance-preserving physical exercises), and (v) responsive multi-device monitoring interface (i.e., doctor and admin). Results. EREBOTS has been tested in the context of physical balance preservation in social confinement times (due to the ongoing pandemic). Thirteen individuals characterized by diverse age, gender, and country distribution have actively participated in the experimentation, reporting advancements in the physical balance and overall satisfaction of the interaction and exercises’ variety they have been proposed.

scholarly journals Personalized health and the coronavirus vaccines—Do individual genetics matter?

BioEssays ◽  
2021 ◽  
pp. 2100087
Author(s):  
Bianca N. Valdés‐Fernández ◽  
Jorge Duconge ◽  
Ana M. Espino ◽  
Gualberto Ruaño
Keyword(s):  
Personalized Health

scholarly journals Nutritional Metabonomics: An Approach to Promote Personalized Health and Wellness

2011 ◽  
Vol 65 (6) ◽  
pp. 396-399 ◽  
Author(s):  
Sebastiano Collino ◽  
François-Pierre J. Martin ◽  
Sunil Kochhar ◽  
Serge Rezzi
Keyword(s):  
Health And Wellness ◽  
Personalized Health

Intelligent Internet Technology for Personalized Health-Saving Support

2017 ◽  
pp. 157-165 ◽  
Author(s):  
V. N. Krut`ko ◽  
A. M. Bolshakov ◽  
V. I. Dontsov ◽  
O. A. Mamikonova ◽  
A. M. Markova ◽  
...  
Keyword(s):  
Internet Technology ◽  
Personalized Health

A New Personalized Health System: The SMARTA Project

2017 ◽  
pp. 375-380
Author(s):  
Massimo W. Rivolta ◽  
Paolo Perego ◽  
Giuseppe Andreoni ◽  
Maurizio Ferrarin ◽  
Giuseppe Baroni ◽  
...  
Keyword(s):  
Health System ◽  
Personalized Health
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