Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing-Reference-Cited by-同舟云学术

Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing

Published:2021-06-09 Issue:1 Volume:19 Page:211-221
ISSN:1742-4801
Container-title:International Wound Journal
language:en
Short-container-title:International Wound Journal

Author:

Woo Kyungmi¹^ORCID,Song Jiyoun²^ORCID,Adams Victoria³^ORCID,Block Lorraine J.⁴^ORCID,Currie Leanne M.⁴^ORCID,Shang Jingjing²^ORCID,Topaz Maxim²³⁵^ORCID

Affiliation:

1. College of Nursing Seoul National University Seoul South Korea

2. School of Nursing Columbia University New York City New York USA

3. Visiting Nurse Service of New York New York City New York USA

4. School of Nursing University of British Columbia Vancouver British Columbia Canada

5. Data Science Institute, Columbia University New York City New York USA

Funder

National Institute of Nursing Research

Publisher

Wiley

Subject

Dermatology,Surgery

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/iwj.13623

Reference35 articles.

1. Medicare Payment Advisory Commission.March 2019 Report to the Congress: Medicare Payment Policy;2019.http://www.medpac.gov/-documents-/reports

2. Avalere Health LLC.Home Health Chartbook;2018.http://www.ahhqi.org/research/home-health-chartbook

3. Health and Economic Impact of Surgical Site Infections Diagnosed after Hospital Discharge

4. Infection in home health care: Results from national Outcome and Assessment Information Set data

5. Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application

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