ArticlePeerJ. Computer science2022
Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models.
Article in PeerJ. Computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.
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
49 citing papers in PubMed, 1 synthesis or guideline pooled it, 157 citations in OpenAlex.
- Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis.BMC medical informatics and decision making · 2023Pooled it
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- An Effective and Interpretable EEG-Based Depression Recognition Method Using Hybrid Feature Selection.Bioengineering (Basel, Switzerland) · 2026Article
- Machine learning mortality prediction model for cyclosporine therapy in pediatric aplastic anemia.Annals of hematology · 2026Article
- Quality, Reliability, and Dissemination of In Vitro Fertilization-Related Videos on Chinese Social Media: Cross-Sectional Analysis of 300 Short Videos.JMIR infodemiology · 2026Article
- Interpretable SVM Model for Predicting CMV Infection in Seropositive Kidney Transplant Recipients: A Single-Center Retrospective Study.Infection and drug resistance · 2026Article
- Machine learning for early screening of influenza A-associated invasive pulmonary aspergillosis in hospitalized patients: a real-world study.Frontiers in cellular and infection microbiology · 2026Article
- Predictive model for severe intraventricular hemorrhage risk in preterm infants: a systematic review and meta-analysis.Frontiers in pediatrics · 2026Review
- Ablation versus sublobar resection for stage IA non-small cell lung cancer: a multicenter retrospective cohort study using a deep learning model in the ablation group.International journal of surgery (London, England) · 2025Article
- Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning.NPJ digital medicine · 2025Article
- Risk prediction for acute kidney disease and adverse outcomes in patients with chronic obstructive pulmonary disease: an interpretable machine learning approach.Renal failure · 2025Article
- Development and validation of a machine learning model for predicting 3-year overall survival in metastatic nasopharyngeal carcinoma: a SEER database and web visualization study.Translational cancer research · 2025Article
- Using multiple machine learning algorithms to predict spinal cord injury in patients with cervical spondylosis: a multicenter study.Scientific reports · 2025Article
- Predictive role of the muscle quality index for testosterone deficiency in adult males based on interpretable machine learning methods.BMC public health · 2025Article
- Development of data driven models to accurately estimate density of fatty acid ethyl esters.Scientific reports · 2025Article
- Predicting outcomes following endovascular aortoiliac revascularization using machine learning.NPJ digital medicine · 2025Article
- Development and validation of risk prediction models for acute kidney disease in gout patients: a retrospective study using machine learning.European journal of medical research · 2025Article
- Development and validation of a hypoxemia prediction model in middle-aged and elderly outpatients undergoing painless gastroscopy.Scientific reports · 2025Article
- Accurate multi-category student performance forecasting at early stages of online education using neural networks.Scientific reports · 2025Article
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 at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Corona Virus Disease 2019 (COVID-19) pandemic has increased the importance of Virtual Learning Environments (VLEs) instigating students to study from their homes. Every day a tremendous amount of data is generated when students interact with VLEs to perform different activities and access learning material. To make the generated data useful, it must be processed and managed by the proper machine learning (ML) algorithm. ML algorithms' applications are many folds with Education Data Mining (EDM) and Learning Analytics (LA) as their major fields. ML algorithms are commonly used to process raw data to discover hidden patterns and construct a model to make future predictions, such as predicting students' performance, dropouts, engagement,
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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.