A Risk Estimation System to Predict Postpartum Cigarette Smoking Relapse

Minsik Hong; Jerzy W. Rozenblit; Alicia Allen; Uma S. Nair; Sharon Allen

doi:10.23919/ANNSIM52504.2021.9552047

A Risk Estimation System to Predict Postpartum Cigarette Smoking Relapse

Minsik Hong
, Jerzy W. Rozenblit
, Alicia Allen
, Uma S. Nair
, Sharon Allen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Postpartum relapse to cigarette smoking (PRS) rate has not substantially improved for more than two decades. Over 55% of women successfully quit smoking during pregnancy; however, half (50%) return to smoking within three months of childbirth and 90% relapse within a year. The identification of effective PRS prevention interventions are needed, especially since factors related to PRS risk factors vary by person, time, and context. In this paper, a prototype risk estimation system using daily ecological momentary assessment data is proposed to develop an adaptive intervention system which will consider multiple risk factors. The risk estimator is designed using a hierarchical fuzzy inference system design scheme to capture human knowledge. A particle swarm optimization scheme is also applied. The simulation results show the feasibility of the proposed estimator for the PRS prevention intervention system.

Original language	English (US)
Title of host publication	Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021
Editors	Cristina Ruiz Martin, Maria Julia Blas, Alonso Inostrosa Psijas
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781565553750
DOIs	https://doi.org/10.23919/ANNSIM52504.2021.9552047
State	Published - Jul 19 2021
Event	2021 Annual Modeling and Simulation Conference, ANNSIM 2021 - Virtual, Fairfax, United States Duration: Jul 19 2021 → Jul 22 2021

Publication series

Name	Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021

Conference

Conference	2021 Annual Modeling and Simulation Conference, ANNSIM 2021
Country/Territory	United States
City	Virtual, Fairfax
Period	7/19/21 → 7/22/21

Bibliographical note

Publisher Copyright:
© 2021 SCS.

Keywords

cigarette smoking
ecologically momentary assessment
hierarchical fuzzy inference system
particle swarm optimization
postpartum relapse prevention

Publisher link

10.23919/ANNSIM52504.2021.9552047

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Hong, M., Rozenblit, J. W., Allen, A., Nair, U. S., & Allen, S. (2021). A Risk Estimation System to Predict Postpartum Cigarette Smoking Relapse. In C. R. Martin, M. J. Blas, & A. I. Psijas (Eds.), Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021 (Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ANNSIM52504.2021.9552047

A Risk Estimation System to Predict Postpartum Cigarette Smoking Relapse. / Hong, Minsik; Rozenblit, Jerzy W.; Allen, Alicia et al.
Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021. ed. / Cristina Ruiz Martin; Maria Julia Blas; Alonso Inostrosa Psijas. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hong, M, Rozenblit, JW, Allen, A, Nair, US & Allen, S 2021, A Risk Estimation System to Predict Postpartum Cigarette Smoking Relapse. in CR Martin, MJ Blas & AI Psijas (eds), Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021. Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021, Institute of Electrical and Electronics Engineers Inc., 2021 Annual Modeling and Simulation Conference, ANNSIM 2021, Virtual, Fairfax, United States, 7/19/21. https://doi.org/10.23919/ANNSIM52504.2021.9552047

Hong M, Rozenblit JW, Allen A, Nair US, Allen S. A Risk Estimation System to Predict Postpartum Cigarette Smoking Relapse. In Martin CR, Blas MJ, Psijas AI, editors, Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021). doi: 10.23919/ANNSIM52504.2021.9552047

Hong, Minsik ; Rozenblit, Jerzy W. ; Allen, Alicia et al. / A Risk Estimation System to Predict Postpartum Cigarette Smoking Relapse. Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021. editor / Cristina Ruiz Martin ; Maria Julia Blas ; Alonso Inostrosa Psijas. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021).

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title = "A Risk Estimation System to Predict Postpartum Cigarette Smoking Relapse",

abstract = "Postpartum relapse to cigarette smoking (PRS) rate has not substantially improved for more than two decades. Over 55\% of women successfully quit smoking during pregnancy; however, half (50\%) return to smoking within three months of childbirth and 90\% relapse within a year. The identification of effective PRS prevention interventions are needed, especially since factors related to PRS risk factors vary by person, time, and context. In this paper, a prototype risk estimation system using daily ecological momentary assessment data is proposed to develop an adaptive intervention system which will consider multiple risk factors. The risk estimator is designed using a hierarchical fuzzy inference system design scheme to capture human knowledge. A particle swarm optimization scheme is also applied. The simulation results show the feasibility of the proposed estimator for the PRS prevention intervention system.",

keywords = "cigarette smoking, ecologically momentary assessment, hierarchical fuzzy inference system, particle swarm optimization, postpartum relapse prevention",

author = "Minsik Hong and Rozenblit, \{Jerzy W.\} and Alicia Allen and Nair, \{Uma S.\} and Sharon Allen",

note = "Publisher Copyright: {\textcopyright} 2021 SCS.; 2021 Annual Modeling and Simulation Conference, ANNSIM 2021 ; Conference date: 19-07-2021 Through 22-07-2021",

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AU - Hong, Minsik

AU - Rozenblit, Jerzy W.

AU - Allen, Alicia

AU - Nair, Uma S.

AU - Allen, Sharon

PY - 2021/7/19

Y1 - 2021/7/19

N2 - Postpartum relapse to cigarette smoking (PRS) rate has not substantially improved for more than two decades. Over 55% of women successfully quit smoking during pregnancy; however, half (50%) return to smoking within three months of childbirth and 90% relapse within a year. The identification of effective PRS prevention interventions are needed, especially since factors related to PRS risk factors vary by person, time, and context. In this paper, a prototype risk estimation system using daily ecological momentary assessment data is proposed to develop an adaptive intervention system which will consider multiple risk factors. The risk estimator is designed using a hierarchical fuzzy inference system design scheme to capture human knowledge. A particle swarm optimization scheme is also applied. The simulation results show the feasibility of the proposed estimator for the PRS prevention intervention system.

AB - Postpartum relapse to cigarette smoking (PRS) rate has not substantially improved for more than two decades. Over 55% of women successfully quit smoking during pregnancy; however, half (50%) return to smoking within three months of childbirth and 90% relapse within a year. The identification of effective PRS prevention interventions are needed, especially since factors related to PRS risk factors vary by person, time, and context. In this paper, a prototype risk estimation system using daily ecological momentary assessment data is proposed to develop an adaptive intervention system which will consider multiple risk factors. The risk estimator is designed using a hierarchical fuzzy inference system design scheme to capture human knowledge. A particle swarm optimization scheme is also applied. The simulation results show the feasibility of the proposed estimator for the PRS prevention intervention system.

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KW - ecologically momentary assessment

KW - hierarchical fuzzy inference system

KW - particle swarm optimization

KW - postpartum relapse prevention

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AN - SCOPUS:85117404693

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BT - Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021

A2 - Martin, Cristina Ruiz

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ER -

A Risk Estimation System to Predict Postpartum Cigarette Smoking Relapse

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