Temporal Events Detector for Pregnancy Care (TED-PC): A rule-based algorithm to infer gestational age and delivery date from electronic health records of pregnant women with and without COVID-19

the National COVID Cohort Collaborative Consortium

doi:10.1371/journal.pone.0276923

Temporal Events Detector for Pregnancy Care (TED-PC): A rule-based algorithm to infer gestational age and delivery date from electronic health records of pregnant women with and without COVID-19

the National COVID Cohort Collaborative Consortium

Department of Health Services Policy & Management
University of South Carolina
Department of Epidemiology & Biostatistics
Department of Obstetrics and Gynecology
University of South Carolina School of Medicine Columbia
Department of Health Promotion Education and Behaviors

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	e0276923
Journal	PLoS ONE
Volume	17
Issue number	10 October
DOIs	https://doi.org/10.1371/journal.pone.0276923
State	Published - Oct 2022
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

General

Access to Document

10.1371/journal.pone.0276923

Cite this

Temporal Events Detector for Pregnancy Care (TED-PC): A rule-based algorithm to infer gestational age and delivery date from electronic health records of pregnant women with and without COVID-19. / the National COVID Cohort Collaborative Consortium.
In: PLoS ONE, Vol. 17, No. 10 October, e0276923, 10.2022.

Research output: Contribution to journal › Article › peer-review

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title = "Temporal Events Detector for Pregnancy Care (TED-PC): A rule-based algorithm to infer gestational age and delivery date from electronic health records of pregnant women with and without COVID-19",

author = "\{the National COVID Cohort Collaborative Consortium\} and Tianchu Lyu and Chen Liang and Jihong Liu and Berry Campbell and Peiyin Hung and Shih, \{Yi Wen\} and Nadia Ghumman and Xiaoming Li and Haendel, \{Melissa A.\} and Chute, \{Christopher G.\} and Anita Walden and Gersing, \{Kenneth R.\} and Leonie Misquitta and Rutter, \{Joni L.\} and Burgoon, \{Penny Wung\} and Samuel Bozzette and Mariam Deacy and Christopher Dillon and Rebecca Erwin-Cohen and Nicole Garbarini and Valery Gordon and Kurilla, \{Michael G.\} and Marti, \{Emily Carlson\} and Michael, \{Sam G.\} and Lili Portilla and Clare Schmitt and Meredith Temple-O'Connor and Bennett, \{Tellen D.\} and Eichmann, \{David A.\} and Justin Guinney and Kibbe, \{Warren A.\} and Hongfang Liu and Payne, \{Philip R.O.\} and Pfaff, \{Emily R.\} and Robinson, \{Peter N.\} and Saltz, \{Joel H.\} and Heidi Spratt and Justin Starren and Christine Suver and Wilcox, \{Adam B.\} and Williams, \{Andrew E.\} and Chunlei Wu and Davera Gabriel and Hong, \{Stephanie S.\} and Kristin Kostka and Lehmann, \{Harold P.\} and Moffitt, \{Richard A.\} and Michele Morris and Palchuk, \{Matvey B.\} and Zhang, \{Xiaohan Tanner\}",

note = "Publisher Copyright: Copyright: {\textcopyright} 2022 Lyu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",

year = "2022",

month = oct,

doi = "10.1371/journal.pone.0276923",

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volume = "17",

journal = "PLoS ONE",

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AU - the National COVID Cohort Collaborative Consortium

AU - Lyu, Tianchu

AU - Liang, Chen

AU - Liu, Jihong

AU - Campbell, Berry

AU - Hung, Peiyin

AU - Shih, Yi Wen

AU - Ghumman, Nadia

AU - Li, Xiaoming

AU - Haendel, Melissa A.

AU - Chute, Christopher G.

AU - Walden, Anita

AU - Gersing, Kenneth R.

AU - Misquitta, Leonie

AU - Rutter, Joni L.

AU - Burgoon, Penny Wung

AU - Bozzette, Samuel

AU - Deacy, Mariam

AU - Dillon, Christopher

AU - Erwin-Cohen, Rebecca

AU - Garbarini, Nicole

AU - Gordon, Valery

AU - Kurilla, Michael G.

AU - Marti, Emily Carlson

AU - Michael, Sam G.

AU - Portilla, Lili

AU - Schmitt, Clare

AU - Temple-O'Connor, Meredith

AU - Bennett, Tellen D.

AU - Eichmann, David A.

AU - Guinney, Justin

AU - Kibbe, Warren A.

AU - Liu, Hongfang

AU - Payne, Philip R.O.

AU - Pfaff, Emily R.

AU - Robinson, Peter N.

AU - Saltz, Joel H.

AU - Spratt, Heidi

AU - Starren, Justin

AU - Suver, Christine

AU - Wilcox, Adam B.

AU - Williams, Andrew E.

AU - Wu, Chunlei

AU - Gabriel, Davera

AU - Hong, Stephanie S.

AU - Kostka, Kristin

AU - Lehmann, Harold P.

AU - Moffitt, Richard A.

AU - Morris, Michele

AU - Palchuk, Matvey B.

AU - Zhang, Xiaohan Tanner

N1 - Publisher Copyright: Copyright: © 2022 Lyu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2022/10

Y1 - 2022/10

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SN - 1932-6203

VL - 17

JO - PLoS ONE

JF - PLoS ONE

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ER -

Temporal Events Detector for Pregnancy Care (TED-PC): A rule-based algorithm to infer gestational age and delivery date from electronic health records of pregnant women with and without COVID-19

UN SDGs

ASJC Scopus Subject Areas

Access to Document

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