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A Web Application for Automatic Analysis on Life-style Factors Affecting Personal Health from Self-tracking Data - Towards User-side Statistics Free Personal Data Analysis

In Doctoral Consortium - DCBIOSTEC, 9-13, 2015 , Lisbon, Portugal

Author: Zilu Liang

Affiliation: The University of Tokyo, Japan

Keyword(s): Data analytics, personal data, web application, self-quantification, healthcare.

Abstract: The advent of commercial portable sensing devices has enabled many non-experts to collect their own data, and there has been a boom in health-centric self-monitoring and tracking. However, huge amount of these data remain unanalyzed simply because many of the data owners have no idea what to do with the large amount of data they have collected. Existing data analysis software tools were designed for statisticians or data scientists who have strong background in related fields. These tools are thus not usable for non-experts who have limited or no knowledge on statistics and programming. As more and more people start to collect their own data, it becomes important to solve the following problem: How to empower non-experts with an effective and easily usable tool to analyze their personal data? This project aims to address this problem by developing an online data analysis software tool to help non-experts gain insights from their personal data at simply few clicks, which requires no st atistics background from the users. I have developed a prototype of the proposed web application. It is expected that the developed data analysis web application will not only help individuals identify the critical life-style factors that affect their health conditions and thus make it possible for them to personalize their healthcare plans for the best health outcome, but also help reduce public health cost and potential financial lost associated with poor health of the working population. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Liang, Z. (2015). A Web Application for Automatic Analysis on Life-style Factors Affecting Personal Health from Self-tracking Data - Towards User-side Statistics Free Personal Data Analysis.In Doctoral Consortium - DCBIOSTEC, (BIOSTEC 2015) ISBN , pages 9-13

@conference{dcbiostec15,
author={Zilu Liang.},
title={A Web Application for Automatic Analysis on Life-style Factors Affecting Personal Health from Self-tracking Data - Towards User-side Statistics Free Personal Data Analysis},
booktitle={Doctoral Consortium - DCBIOSTEC, (BIOSTEC 2015)},
year={2015},
pages={9-13},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={},
}

TY - CONF

JO - Doctoral Consortium - DCBIOSTEC, (BIOSTEC 2015)
TI - A Web Application for Automatic Analysis on Life-style Factors Affecting Personal Health from Self-tracking Data - Towards User-side Statistics Free Personal Data Analysis
SN -
AU - Liang, Z.
PY - 2015
SP - 9
EP - 13
DO -

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