Development of a Synthetic Population Model for Assessing Excess Risk for Cardiovascular Disease Death-Reference-Cited by-同舟云学术

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Development of a Synthetic Population Model for Assessing Excess Risk for Cardiovascular Disease Death

Published:2020-09-01 Issue:9 Volume:3 Page:e2015047
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Krauland Mary G.¹²,Frankeny Robert J.²,Lewis Josh³,Brink LuAnn³,Hulsey Eric G.³,Roberts Mark S.¹²,Hacker Karen A.¹³

Affiliation:

1. Department of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania

2. Public Health Dynamics Laboratory, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania

3. Allegheny County Department of Health, Pittsburgh, Pennsylvania

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2770060/krauland_2020_oi_200565_1602707723.17073.pdf

Reference44 articles.

1. Scalable population synthesis with deep generative modeling.;Borysov;Transp Res Part C Emerg Technol,2019

2. Attribute assignment to a synthetic population in support of agent-based disease modeling.;Cajka;Methods Rep RTI Press,2010

3. Synthetic population dynamics: a model of household demography.;Geard;J Artif Soc Simul.,2013

4. FRED (A Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations.;Grefenstette;BMC Public Health,2013

5. The Population Health Model (POHEM): an overview of rationale, methods, and applications.;Hennessy;Popul Health Metr,2015

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1. Synthetic Data Improve Survival Status Prediction Models in Early-Onset Colorectal Cancer;JCO Clinical Cancer Informatics;2024-03

2. Inferring Epidemic Dynamics Using Gaussian Process Emulation of Agent-Based Simulations;2023 Winter Simulation Conference (WSC);2023-12-10

3. Uses of Social Determinants of Health Data to Address Cardiovascular Disease and Health Equity: A Scoping Review;Journal of the American Heart Association;2023-11-07

4. Deep Generative Models for Constructing Synthetic Populations in Public Health Applications;2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR);2023-09-27

5. A Case for Synthetic Data in Regulatory Decision‐Making in Europe;Clinical Pharmacology & Therapeutics;2023-08-24

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