research-article

Data and Analytics Challenges for a Learning Healthcare System

Authors:

Rahul C. Basole,

Mark L. Braunstein,

Jimeng SunAuthors Info & Claims

Journal of Data and Information Quality (JDIQ), Volume 6, Issue 2-3

Article No.: 10, Pages 1 - 4

https://doi.org/10.1145/2755489

Published: 21 July 2015 Publication History

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References

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Rahul C. Basole, Mark L. Braunstein, Hyunwoo. Park, Minsuk Kahng, Polo Chau, Acar Tamersoy, Daniel A. Hirsh, Nicoleta Serban, James Bost, Burt Lesnick, Beth Schissel, and Michael Thompson. 2015. Understanding variations in pediatric asthma care delivery in emergency departments using visual analytics. Journal of the American Medical Informatics Association 22, 2, 318--23.

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Cited By

Appenzeller ABartholomaus SBreitschwerdt RClaussen CGeisler SHartz TKachel PKrempel ERobert SZeissig S(2021)Towards Distributed Healthcare Systems – Virtual Data Pooling Between Cancer Registries as Backbone of Care and Research2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA53542.2021.9686918(1-8)Online publication date: Nov-2021
https://doi.org/10.1109/AICCSA53542.2021.9686918
Chishtie JMarchand JTurcotte LBielska IBabineau JCepoiu-Martin MIrvine MMunce SAbudiab SBjelica MHossain SImran MJeji TJaglal S(2020)Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping ReviewJournal of Medical Internet Research10.2196/1789222:12(e17892)Online publication date: 3-Dec-2020
https://doi.org/10.2196/17892
Swarna SBoyapati SDixit PAgrawal R(2020)Diabetes prediction by using Big Data Tool and Machine Learning Approaches2020 3rd International Conference on Intelligent Sustainable Systems (ICISS)10.1109/ICISS49785.2020.9315866(750-755)Online publication date: 3-Dec-2020
https://doi.org/10.1109/ICISS49785.2020.9315866
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Data and Analytics Challenges for a Learning Healthcare System

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Published In

cover image Journal of Data and Information Quality

Journal of Data and Information Quality Volume 6, Issue 2-3

July 2015

60 pages

ISSN:1936-1955

EISSN:1936-1963

DOI:10.1145/2788681

Editor:
Louiqa Raschid
University of Maryland, College Park, USA

Issue’s Table of Contents

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 July 2015

Accepted: 01 May 2015

Revised: 01 May 2015

Received: 01 November 2014

Published in JDIQ Volume 6, Issue 2-3

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Cited By

Appenzeller ABartholomaus SBreitschwerdt RClaussen CGeisler SHartz TKachel PKrempel ERobert SZeissig S(2021)Towards Distributed Healthcare Systems – Virtual Data Pooling Between Cancer Registries as Backbone of Care and Research2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA53542.2021.9686918(1-8)Online publication date: Nov-2021
https://doi.org/10.1109/AICCSA53542.2021.9686918
Chishtie JMarchand JTurcotte LBielska IBabineau JCepoiu-Martin MIrvine MMunce SAbudiab SBjelica MHossain SImran MJeji TJaglal S(2020)Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping ReviewJournal of Medical Internet Research10.2196/1789222:12(e17892)Online publication date: 3-Dec-2020
https://doi.org/10.2196/17892
Swarna SBoyapati SDixit PAgrawal R(2020)Diabetes prediction by using Big Data Tool and Machine Learning Approaches2020 3rd International Conference on Intelligent Sustainable Systems (ICISS)10.1109/ICISS49785.2020.9315866(750-755)Online publication date: 3-Dec-2020
https://doi.org/10.1109/ICISS49785.2020.9315866
Singh AKumar Jain S(2020)A Personalized Cancer Diagnosis using Machine Learning Models Based on Big Data2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)10.1109/I-SMAC49090.2020.9243383(763-771)Online publication date: 7-Oct-2020
https://doi.org/10.1109/I-SMAC49090.2020.9243383
Ceravolo PBellini E(2019)Towards Configurable Composite Data Quality Assessment2019 IEEE 21st Conference on Business Informatics (CBI)10.1109/CBI.2019.00035(249-257)Online publication date: Jul-2019
https://doi.org/10.1109/CBI.2019.00035
Mir ADhage S(2018)Diabetes Disease Prediction Using Machine Learning on Big Data of Healthcare2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)10.1109/ICCUBEA.2018.8697439(1-6)Online publication date: Aug-2018
https://doi.org/10.1109/ICCUBEA.2018.8697439
Liu XLi XMotiwalla LLi WZheng HFranklin P(2016)Preserving Patient Privacy When Sharing Same-Disease DataJournal of Data and Information Quality10.1145/29565547:4(1-14)Online publication date: 6-Oct-2016
https://dl.acm.org/doi/10.1145/2956554
Basole RPark HGupta MBraunstein MChau DThompson MGschwandtner TPerer ABernard J(2015)A visual analytics approach to understanding care process variation and conformanceProceedings of the 2015 Workshop on Visual Analytics in Healthcare10.1145/2836034.2836040(1-8)Online publication date: 25-Oct-2015
https://dl.acm.org/doi/10.1145/2836034.2836040

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