ReviewFrontiers in artificial intelligence2023
Decision trees: from efficient prediction to responsible AI.
Review in Frontiers in artificial intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Methodological heterogeneity and equity challenges of distributional cost-effectiveness analysis in healthcare: a systematic review from 2017 to 2025.Archives of public health = Archives belges de sante publique · 2026Pooled it
- Multimodal Characterization of Acerola-Derived Gold Nanoparticles through Integrated Advanced Distributional Analysis.ACS omega · 2026Article
- Ensemble Machine Learning for Malaria Diagnosis in Resource-Limited Settings Using Clinical and Demographic Features.Infectious disease reports · 2026Article
- Machine learning models classifiers enable a strong prediction of radioembolization-induced liver disease, and define a new bilirubin threshold for selection of patients.European journal of nuclear medicine and molecular imaging · 2026Article
- Deep learning for sorghum yield forecasting using uncrewed aerial systems and lab-derived imagery.Plant phenomics (Washington, D.C.) · 2026Article
- Decoding adolescent TMJ osteoarthritis with multimodal machine learning.Journal of oral & facial pain and headache · 2026Article
- Gaps in artificial intelligence research for rural health in the United States: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Performance evaluation of machine learning algorithms for estimating reference evapotranspiration based on NASA POWER weather data: a case study in Nigeria.Frontiers in artificial intelligence · 2026Article
- Spatial intensity modelling of ISIS-related attacks using random forest regression: A GeoAI-based analysis of GTD data (2012-2019).PloS one · 2026Article
- Comparing machine learning and artificial neural network models in psychological research: a ROC-based analysis.Frontiers in psychology · 2026Article
- The impact of a decision tree-based BOPPPS blended teaching model on cognitive performance in clinical epidemiology.Frontiers in public health · 2026Observational
- A multidimensional analysis of the 21Scientific reports · 2025Article
- Advances in surrogate modeling for biological agent-based simulations: trends, challenges, and future prospects.Journal of mathematical biology · 2025Review
- Cardiovascular risk prediction via ensemble machine learning and oversampling methods.Scientific reports · 2025Article
- Accelerated Development of Vapor Deposition Technology for Efficient Perovskite Solar Cells via Accurate and Practical Machine Learning Tools.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Machine-Learning-Driven Phenotyping in Heart Failure with Preserved Ejection Fraction: Current Approaches and Future Directions.Medicina (Kaunas, Lithuania) · 2025Review
- A Smart System for Continuous Sitting Posture Monitoring, Assessment, and Personalized Feedback.Sensors (Basel, Switzerland) · 2025Article
- From network biology to immunity: potential longitudinal biomarkers for targeting the network topology of the HIV reservoir.Journal of translational medicine · 2025Review
- Transparent Machine Learning Reveals Diagnostic Glycan Biomarkers in Subarachnoid Hemorrhage and Vasospasm.International journal of molecular sciences · 2025Article
- Predicting Cognitive Outcome Through Nutrition and Health Markers Using Supervised Machine Learning.The Journal of nutrition · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article provides a birds-eye view on the role of decision trees in machine learning and data science over roughly four decades. It sketches the evolution of decision tree research over the years, describes the broader context in which the research is situated, and summarizes strengths and weaknesses of decision trees in this context. The main goal of the article is to clarify the broad relevance to machine learning and artificial intelligence, both practical and theoretical, that decision trees still have today.
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.