The Directory of Open Access Journals
DOAJ Logotype
Open
Global
Trusted
Main actions
Support
Institutions and libraries
Publishers
Institutional and library supporters
Apply
Application form
Guide to applying
The DOAJ Seal
Transparency & best practice
Publisher information
Licensing & copyright
Search
Menu
Secondary actions
Search
Journals
Articles
Documentation
API
OAI-PMH
Widgets
Public data dump
OpenURL
XML
Metadata help
Preservation
About
About DOAJ
DOAJ at 20
DOAJ team
Ambassadors
Advisory Board & Council
Volunteers
News
Support
Institutions and libraries
Publishers
Institutional and library supporters
Apply
Application form
Guide to applying
The DOAJ Seal
Transparency & best practice
Publisher information
Licensing & copyright
Login
Login
Quick search
Close
×
Journals
Articles
Search by keywords:
In the field:
In all fields
Title
ISSN
Subject
Publisher
Country of publisher
Search
PLoS ONE
(Jan 2024)
Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York City
Kullaya Takkavatakarn,
Yang Dai,
Huei Hsun Wen,
Justin Kauffman,
Alexander Charney,
Steven G. Coca,
Girish N. Nadkarni,
Lili Chan
Affiliations
Kullaya Takkavatakarn
Yang Dai
Huei Hsun Wen
Justin Kauffman
Alexander Charney
Steven G. Coca
Girish N. Nadkarni
Lili Chan
Journal volume & issue
Vol. 19, no. 2
Abstract
Read online
No abstracts available.
WeChat QR code
Close