ArticleScientific reports2025
Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Modular integration of nanopore sequencing, alphafold modeling, and statistical design boosts 1-hydroxyphenazine yield in Pseudomonas aeruginosa strain KAEH25.BMC microbiology · 2026Article
- Physics-Informed Machine Learning for Optimized and Sustainable Biochar Water Treatment.Molecules (Basel, Switzerland) · 2026Article
- Dietary Predictors of Paraben Exposure Among Adults in Northern Thailand.International journal of environmental research and public health · 2026Article
- Pinostrobin attenuates microglia-mediated neuroinflammation after subarachnoid hemorrhage through modulation of the MYC-CTSL signaling axis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Prediction model for early neurological deterioration in large artery atherosclerotic stroke.Frontiers in neurology · 2026Article
- Article
- Construction and validation of a regularized logistic regression model for predicting late recurrence after ablation in persistent atrial fibrillation: a clinical parameter approach.Frontiers in cardiovascular medicine · 2025Article
- Predicting Radiation Esophagitis in Patients Undergoing Synchronous Boost Radiotherapy Post-Breast-Conserving Surgery.Dose-response : a publication of International Hormesis SocietyArticle
- A Clinical-Radiomics Nomogram Predicts Early Tumor Necrosis After Transarterial Chemoembolization for Hepatocellular Carcinoma.Technology in cancer research & treatmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a significant global concern, air pollution triggers enormous challenges in public health and ecological sustainability, necessitating the development of precise algorithms to forecast and mitigate its impacts, which has led to the development of many machine learning (ML)-based models for predicting air quality. Meanwhile, overfitting is a prevalent issue with ML algorithms that decreases their efficacy and generalizability. The present investigation, using an extensive collection of data from 16 sensors in Tehran, Iran, from 2013 to 2023, focuses on applying the Least Absolute Shrinkage and Selection Operator (Lasso) regularisation technique to enhance the forecasting precision of ambient air pollutants concentration models, including particulate matter (PM
Indexed as
Identifiers
What Socratic 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 Socratic graph.