An Innovative, Information and Communication Technology Supported Approach, Towards Effective Chronic Pain Management

Autor: Haridimos Kondylakis, Santiago Hors-Fraile, Lefteris Koumakis, Angelina Kouroubali, George Notas, Alejandro Rivero-Rodriguez, Prodromos Sidiropoulos, Panagiotis Simos, Dimitrios G. Katehakis

Chronic pain is one of the most common health problems affecting daily activity, employment, relationships and emotional functioning. Unfortunately, the lack of specialized health care personnel, and the high heterogeneity in terms of clinical manife

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::098b71b9616d15dfc4c640047e1cf791
https://doi.org/10.4018/978-1-7998-1680-5.ch006

Smartphone sensors for monitoring cancer-related Quality of Life: App design, EORTC QLQ-C30 mapping and feasibility study in healthy subjects

Autor: Alejandro Rivero-Rodriguez, Sabina Asensio-Cuesta, Juan M. García-Gómez, J. Alberto Conejero, Carlos Sáez, Ángel Sánchez-García

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
International Journal of Environmental Research and Public Health
Volume 16
Issue 3
International Journal of Environmental Research and Public Health, Vol 16, Iss 3, p 461 (2019)

Quality of life (QoL) indicators are now being adopted as clinical outcomes in clinical trials on cancer treatments. Technology-free daily monitoring of patients is complicated, time-consuming and expensive due to the need for vast amounts of resourc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::002a03c03e837d19f8894d3322f64f1d
http://hdl.handle.net/10251/157773

Semantic Labeling of User Location Context Based on Phone Usage Features

Autor: David Muñoz Martínez, Helena Leppäkoski, Sakari Rautalin, Jani Käppi, Robert Piche, Simo Ali-Loytty, Alejandro Rivero-Rodriguez

Publikováno v: Mobile Information Systems, Vol 2017 (2017)

In mobile phones, the awareness of the user’s context allows services better tailored to the user’s needs. We propose a machine learning based method for semantic labeling that utilizes phone usage features to detect the user’s home, work, and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43cfe2eba03fe70d850d9b33fb8801d3

Semantic Labeling of Places based on Phone Usage Features using Supervised Learning

Autor: Alejandro Rivero-Rodriguez, Robert Piche, Helena Leppäkoski

Publikováno v: UPINLBS

Nowadays mobile applications demand higher context awareness. The applications aim to understand the user's context (e.g., home or at work) and provide services tailored to the users. The algorithms responsible for inferring the user's context are th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f1b71ebb2c0e740ffabf58ef093ee1d
https://trepo.tuni.fi/handle/10024/128750

Social Approach for Context Analysis: Modelling and Predicting Social Network Evolution Using Homophily

Autor: Alejandro Rivero-Rodriguez, Ossi Nykänen, Paolo Pileggi

Publikováno v: Modeling and Using Context ISBN: 9783319255903
CONTEXT

Understanding the user’s context is important for mobile applications to provide personalized services. Such context is typically based on the user’s own information. In this paper, we show how social network analysis and the study of the individ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::60ba0b2a42793d72a04657a3889b4de8
https://doi.org/10.1007/978-3-319-25591-0_41