A method for simplified HRQOL measurement by smart devices

Chishu Amenomori, Teruhiro Mizumoto, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


Health-related quality of life (HRQOL) is a useful indicator that rates a person’s activities in various physical, mental and social domains. Continuously measuring HRQOL can help detect the early signs of declines in these activities and lead to steps to prevent such declines. However, it is difficult to continuously measure HRQOL by conventional methods, since its measurement requires each user to answer burdensome questionnaires. In this paper, we propose a simplified HRQOL measurement method for a continuous HRQOL measurement which can reduce the burden of questionnaires. In our method, sensor data from smart devices and the questionnaire scores of HRQOL are collected and used to construct a machine-learning model that estimates the score for each HRQOL questionnaire item. Our experiment result showed our method’s potential and found effective features for some questions.

Original languageEnglish
Title of host publicationWireless Mobile Communication and Healthcare - 7th International Conference, MobiHealth 2017, Proceedings
EditorsAmir M. Rahmani, Nima TaheriNejad, Paolo Perego
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783319985503
Publication statusPublished - 2018
Externally publishedYes
Event7th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2017 - Vienna, Austria
Duration: Nov 14 2017Nov 15 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ISSN (Print)1867-8211


Conference7th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2017

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications


Dive into the research topics of 'A method for simplified HRQOL measurement by smart devices'. Together they form a unique fingerprint.

Cite this