ArticleEnvironmental health perspectives2023
HExpPredict:
Article in Environmental health perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 36 citations in OpenAlex.
- Development and validation of an explainable machine learning model for predicting surgical intervention in pediatric intestinal obstruction.European journal of pediatrics · 2026Article
- Molecular Representation and Closed-Loop Validation for Toxicity Assessment of Organic Compounds in Ambient Air PMEnvironmental science & technology · 2026Article
- Predicting toxicity and bioactivity of the chemical exposome: a case study for the blood exposome database.Journal of cheminformatics · 2026Article
- Predicting Toxicity and Bioactivity of the Chemical Exposome: A Case Study for the Blood Exposome Database.bioRxiv : the preprint server for biology · 2025Article
- Machine learning- and multilayer molecular network-assisted screening hunts fentanyl compounds.Science advances · 2025Article
- [Mediating role of insulin resistance in the relationship between hypertension and NAFLD and construction of its risk prediction model].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
- Ethical Frameworks for Data-Driven Environmental Health Studies in the AI Era.Environment & health (Washington, D.C.) · 2025Article
- High-Resolution Mass Spectrometry for Human Exposomics: Expanding Chemical Space Coverage.Environmental science & technology · 2024Review
- Thyroid Hormone Biomonitoring: A Review on Their Metabolism and Machine-Learning Based Analysis on Effects of Endocrine Disrupting Chemicals.Environment & health (Washington, D.C.) · 2024Review
- The Need for an Alternative Health Claim Process for Foods Based on Both Nutrient and Contaminant Profiles.Current developments in nutrition · 2024Article
- Review
- Factors Associated with Primary Care Provider's Job Satisfaction and Organizational Commitment in China: A Machine Learning-Based Random Forest Analysis.Healthcare (Basel, Switzerland) · 2023Article
- Invited Perspective: Examining Chemicals in Food as a Priority for Toxicity Testing.Environmental health perspectives · 2023Article
Corrections and comments
- Commented on by
Authors and funding
13 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDue to many substances in the human exposome, there is a dearth of exposure and toxicity information available to assess potential health risks. Quantification of all trace organics in the biological fluids seems impossible and costly, regardless of the high individual exposure variability. We hypothesized that the blood concentration (
objectivesOur objective was to develop a machine learning (ML) model to predict blood concentrations (
methodsWe curated the
resultsWe curated the DISCUSSION: We have shown that the accurate prediction of "internal exposure" from "external exposure" is possible, and this result can be quite useful in the risk prioritization. https://doi.org/10.1289/EHP11305.
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.