Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping-Reference-Cited by-同舟云学术

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Detecting Spatial Patterns of Disease in Large Collections of Electronic Medical Records Using Neighbor-Based Bootstrapping

Published:2017-09 Issue:3 Volume:5 Page:213-224
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Patterson Maria T.¹,Grossman Robert L.¹²³⁴

Affiliation:

1. Center for Data Intensive Science, University of Chicago, Chicago, Illinois.

2. Computation Institute, University of Chicago, Chicago, Illinois.

3. Section of Computational Biomedicine and Biomedical Data Science, Department of Medicine, University of Chicago, Chicago, Illinois.

4. Institute for Genomics and Systems Biology, University of Chicago, Chicago, Illinois.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

http://www.liebertpub.com/doi/pdf/10.1089/big.2017.0028

Reference38 articles.

1. Electronic Health Records and US Public Health: Current Realities and Future Promise

2. The Inevitable Application of Big Data to Health Care

3. Digital Disease Detection — Harnessing the Web for Public Health Surveillance

4. Digital Epidemiology

5. Global Disease Monitoring and Forecasting with Wikipedia

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of Spatial Analysis for Electronic Health Records: Characterizing Patient Phenotypes and Emerging Trends;2024-01-15

2. Application of Spatial Analysis for Electronic Health Records: Characterizing Patient Phenotypes and Emerging Trends (Preprint);JMIR Medical Informatics;2024-01-13

3. Application of Spatial Analysis for Electronic Health Records: Characterizing Patient Phenotypes and Emerging Trends (Preprint);2024-01-13

4. Characterizing Patient Phenotypes and Emerging Trends in Application of Spatial Analysis in Individual-Level Health Data;2023-10-16

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