A scalable data repository for recording self-managed longitudinal health data of digital patients

Xia Zhao; Youbing Zhao; Nikolaos Ersotelos; Dina Fan; Enjie Liu; Gordon Clapworthy; Feng Dong

doi:10.1109/BIBE.2013.6701571

A scalable data repository for recording self-managed longitudinal health data of digital patients

Xia Zhao
, Youbing Zhao
, Nikolaos Ersotelos
, Dina Fan
, Enjie Liu
, Gordon Clapworthy
, Feng Dong

Institute for Research in Applicable Computing (IRAC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents the proof-of-concept design of the data repository for 4D digital avatars in the MyHealthAvatar project. Taking account of the privacy and legal issues of patient health information, the research generates a set of synthetic data based on publicly available survey data. At the prototype stage, these synthetic data are used in the scenarios of data storage and management. The paper discusses the early proof-of-concept design of the technical stack which enables the storage and query of large scale patients' health data and empowers the future data mining and analysis for health care support. It provides the first stage implementation and the use of it for data analytics.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781479931637
DOIs	https://doi.org/10.1109/BIBE.2013.6701571
Publication status	Published - 9 Jan 2014
Event	13th IEEE International Conference on BioInformatics and BioEngineering - Chania Duration: 10 Nov 2013 → 13 Nov 2013

Conference

Conference	13th IEEE International Conference on BioInformatics and BioEngineering
City	Chania
Period	10/11/13 → 13/11/13
Other	13th IEEE International Conference on BioInformatics and BioEngineering (10/11/2013-13/11/2013, Chania)

Keywords

digital healthcare

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10.1109/BIBE.2013.6701571

https://ieeexplore.ieee.org/document/6701571

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@inproceedings{6f8100108e984d7ab49b16b09dd0af90,

title = "A scalable data repository for recording self-managed longitudinal health data of digital patients",

abstract = "This paper presents the proof-of-concept design of the data repository for 4D digital avatars in the MyHealthAvatar project. Taking account of the privacy and legal issues of patient health information, the research generates a set of synthetic data based on publicly available survey data. At the prototype stage, these synthetic data are used in the scenarios of data storage and management. The paper discusses the early proof-of-concept design of the technical stack which enables the storage and query of large scale patients' health data and empowers the future data mining and analysis for health care support. It provides the first stage implementation and the use of it for data analytics.",

keywords = "digital healthcare",

author = "Xia Zhao and Youbing Zhao and Nikolaos Ersotelos and Dina Fan and Enjie Liu and Gordon Clapworthy and Feng Dong",

year = "2014",

month = jan,

day = "9",

doi = "10.1109/BIBE.2013.6701571",

language = "English",

isbn = "9781479931637",

booktitle = "nan",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "13th IEEE International Conference on BioInformatics and BioEngineering ; Conference date: 10-11-2013 Through 13-11-2013",

}

Zhao, X, Zhao, Y, Ersotelos, N, Fan, D, Liu, E, Clapworthy, G & Dong, F 2014, A scalable data repository for recording self-managed longitudinal health data of digital patients. in nan. Institute of Electrical and Electronics Engineers Inc., 13th IEEE International Conference on BioInformatics and BioEngineering, Chania, 10/11/13. https://doi.org/10.1109/BIBE.2013.6701571

TY - GEN

T1 - A scalable data repository for recording self-managed longitudinal health data of digital patients

AU - Zhao, Xia

AU - Zhao, Youbing

AU - Ersotelos, Nikolaos

AU - Fan, Dina

AU - Liu, Enjie

AU - Clapworthy, Gordon

AU - Dong, Feng

PY - 2014/1/9

Y1 - 2014/1/9

N2 - This paper presents the proof-of-concept design of the data repository for 4D digital avatars in the MyHealthAvatar project. Taking account of the privacy and legal issues of patient health information, the research generates a set of synthetic data based on publicly available survey data. At the prototype stage, these synthetic data are used in the scenarios of data storage and management. The paper discusses the early proof-of-concept design of the technical stack which enables the storage and query of large scale patients' health data and empowers the future data mining and analysis for health care support. It provides the first stage implementation and the use of it for data analytics.

AB - This paper presents the proof-of-concept design of the data repository for 4D digital avatars in the MyHealthAvatar project. Taking account of the privacy and legal issues of patient health information, the research generates a set of synthetic data based on publicly available survey data. At the prototype stage, these synthetic data are used in the scenarios of data storage and management. The paper discusses the early proof-of-concept design of the technical stack which enables the storage and query of large scale patients' health data and empowers the future data mining and analysis for health care support. It provides the first stage implementation and the use of it for data analytics.

KW - digital healthcare

U2 - 10.1109/BIBE.2013.6701571

DO - 10.1109/BIBE.2013.6701571

M3 - Conference contribution

SN - 9781479931637

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th IEEE International Conference on BioInformatics and BioEngineering

Y2 - 10 November 2013 through 13 November 2013

ER -

A scalable data repository for recording self-managed longitudinal health data of digital patients

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