ArticleFrontiers in public health2020
A Machine Learning Approach to Uncovering Hidden Utilization Patterns of Early Childhood Dental Care Among Medicaid-Insured Children.
Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Predicting Dental General Anesthesia Use among Children with Behavioral Health Conditions.JDR clinical and translational research · 2025Observational
- Patterns and factors associated with dental service utilization among insured people: a data mining approach.BMC medical informatics and decision making · 2024Article
- A scoping review of the clinical application of machine learning in data-driven population segmentation analysis.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Dental Caries in Medicaid-Insured Preschool Children With or Without Special Health Care Needs in Northeast Ohio.JAMA network open · 2023Article
- Prediction Models of Early Childhood Caries Based on Machine Learning Algorithms.International journal of environmental research and public health · 2021Article
- Characterization of Supragingival Plaque and Oral Swab Microbiomes in Children With Severe Early Childhood Caries.Frontiers in microbiology · 2021Article
- AI-driven approaches in the management of early childhood caries: A path toward global oral health.Journal of oral biology and craniofacial researchReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.