TY - GEN
T1 - A Risk Estimation System to Predict Postpartum Cigarette Smoking Relapse
AU - Hong, Minsik
AU - Rozenblit, Jerzy W.
AU - Allen, Alicia
AU - Nair, Uma S.
AU - Allen, Sharon
N1 - Publisher Copyright:
© 2021 SCS.
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.
KW - cigarette smoking
KW - ecologically momentary assessment
KW - hierarchical fuzzy inference system
KW - particle swarm optimization
KW - postpartum relapse prevention
UR - http://www.scopus.com/inward/record.url?scp=85117404693&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85117404693&partnerID=8YFLogxK
U2 - 10.23919/ANNSIM52504.2021.9552047
DO - 10.23919/ANNSIM52504.2021.9552047
M3 - Conference contribution
AN - SCOPUS:85117404693
T3 - Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021
BT - Proceedings of the 2021 Annual Modeling and Simulation Conference, ANNSIM 2021
A2 - Martin, Cristina Ruiz
A2 - Blas, Maria Julia
A2 - Psijas, Alonso Inostrosa
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Annual Modeling and Simulation Conference, ANNSIM 2021
Y2 - 19 July 2021 through 22 July 2021
ER -