ArticleNeurotoxicology and teratology
A new look at quantifying tobacco exposure during pregnancy using fuzzy clustering.
Article in Neurotoxicology and teratology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 37 citations in OpenAlex.
- Federated Choquet Regression with LASSO for Outcome Prediction in Multisite Longitudinal Trial Data.ACM transactions on computing for healthcare · 2026Article
- The use of artificial intelligence in sexual and reproductive health: a comprehensive scoping review.npj women's health · 2025Article
- Feature Interaction Detection in Big Data Through a New Choquet Integral based Deep Neural Network.Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data · 2024Article
- Federated Fuzzy Clustering for Decentralized Incomplete Longitudinal Behavioral Data.IEEE internet of things journal · 2024Article
- Topic modeling for systematic review of visual analytics in incomplete longitudinal behavioral trial data.Smart health (Amsterdam, Netherlands) · 2020Article
- Does early maternal responsiveness buffer prenatal tobacco exposure effects on young children's behavioral disinhibition?Development and psychopathology · 2019Article
- An Enhanced Visualization Method to Aid Behavioral Trajectory Pattern Recognition Infrastructure for Big Longitudinal Data.IEEE transactions on big data · 2018Article
- eFCM: An Enhanced Fuzzy C-Means Algorithm for Longitudinal Intervention Data.International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications · 2018Article
- Automatic Detection of Opioid Intake Using Wearable Biosensor.International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications · 2018Article
- MIFuzzy Clustering for Incomplete Longitudinal Data in Smart Health.Smart health (Amsterdam, Netherlands) · 2017Article
- A New Mining Method to Detect Real Time Substance Use Events from Wearable Biosensor Data Stream.International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications · 2017Article
- Acculturation, Depression, and Smoking Cessation: a trajectory pattern recognition approach.Tobacco induced diseases · 2017Article
- Multiple Imputation based Clustering Validation (MIV) for Big Longitudinal Trial Data with Missing Values in eHealth.Journal of medical systems · 2016Article
- Multiple- vs Non- or Single-Imputation based Fuzzy Clustering for Incomplete Longitudinal Behavioral Intervention Data....IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies · 2016Article
- ESammon: A Computationaly Enhanced Sammon Mapping based on Data Density.International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications · 2016Article
- iMStrong: Deployment of a Biosensor System to Detect Cocaine Use.Journal of medical systems · 2015Article
- Detecting graded exposure effects: a report on an East Boston pregnancy cohort.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2012Article
- A New MI-Based Visualization Aided Validation Index for Mining Big Longitudinal Web Trial Data.IEEE access : practical innovations, open solutionsArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundPrenatal tobacco exposure is a risk factor for the development of externalizing behaviors and is associated with several adverse health outcomes. Because pregnancy smoking is a complex behavior with both daily fluctuations and changes over the course of pregnancy, quantifying tobacco exposure is a significant challenge. To better measure the degree of tobacco exposure, costly biological specimens and repeated self-report measures of smoking typically are collected throughout pregnancy. With such designs, there are multiple, and substantially correlated, indices that can be integrated via new statistical methods to identify patterns of prenatal exposure.
methodA multiple-imputation-based fuzzy clustering technique was designed to characterize topography of prenatal exposure. This method leveraged all repeatedly measured maternal smoking variables in our sample data, including (a) cigarette brand; (b) Fagerstrom nicotine dependence item scores; (c) self-reported smoking; and (d) cotinine level in maternal urine and infant meconium samples. Identified exposure groups then were confirmed using a suite of clustering validation indices based on multiple imputed datasets. The classifications were validated against irritable reactivity in the first month of life and birth weight of 361 neonates (Male(_n)=185; Female(_n)=176; Gestational Age_(Mean)=39weeks).
resultsThis proposed approach identified three exposure groups, non-exposed, lighter-tobacco-exposed, and heavier-tobacco-exposed based on high-dimensional attributes. Unlike cut-off score derived groups, these groupings reflect complex smoking behavior and individual variation of nicotine metabolism across pregnancy. The identified groups predicted differences in birth weight and in the pattern of change in neonatal irritable reactivity, as well as resulted in increased predictive power. Multiple-imputation-based fuzzy clustering appears to be a useful method to categorize patterns of exposure and their impact on outcomes.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.