ArticleApplied intelligence (Dordrecht, Netherlands)2022
Confidence interval for micro-averaged
Article in Applied intelligence (Dordrecht, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 3 of them syntheses 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
62 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Recent Advances in AI for Automated ICD Coding: A Systematic Literature Review.Journal of medical systems · 2026Pooled it
- Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Pooled it
- Wearable Sleep-Stage Classification: A Systematic Analysis of Signal Modalities, Representations, and Multimodal Fusion.Sensors (Basel, Switzerland) · 2026Article
- Multi-Scale Attention Conditional Domain Adaptation for Electric Control Valve Fault Diagnosis Under Variable Working Conditions.Sensors (Basel, Switzerland) · 2026Article
- Article
- EVIORA-HAR: A multimodal dataset for elderly activity recognition and safety-controlled fall detection using wearable inertial sensors and multi-view cameras.Data in brief · 2026Article
- Comparing supervised machine learning and large language models in title-abstract screening.Systematic reviews · 2026Article
- Large language model-based approach for low-cost, rapid and accurate automated extraction of predictive biomarker testing results from Dutch pathology reports.Virchows Archiv : an international journal of pathology · 2026Article
- Machine learning for land use change analysis in environmental protection areas.Environmental monitoring and assessment · 2026Article
- Enhanced graph coevolution network for social network analysis using assimilation modified emotional algorithm.Scientific reports · 2026Article
- Monitoring of respiration and cardiorespiratory interactions from multichannel seismocardiography signals.Physical and engineering sciences in medicine · 2026Article
- TRIAGE: Trustworthy Reporting and Assessment for Clinical Gain and Effectiveness of AI Models.Diagnostics (Basel, Switzerland) · 2026Review
- Deep learning to predict left ventricular hypertrophy from the electrocardiogram.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026Article
- Integrating Large Language Models with Deep Learning for Breast Cancer Treatment Decision Support.Diagnostics (Basel, Switzerland) · 2026Article
- Identification and Classification of Snack-Type Watermelon (Foods (Basel, Switzerland) · 2025Article
- Sensitivity analysis of data augmentation methods on performance of deep learning model for lung sounds classification.Scientific reports · 2025Article
- External validation of an RSNA 2023 Abdominal Trauma AI Challenge high performing machine learning model in the detection and grading of splenic injuries on CT.Abdominal radiology (New York) · 2025Article
- StudyTypeTeller-Large language models to automatically classify research study types for systematic reviews.Research synthesis methods · 2025Article
- Multi-ship detection and classification with feature enhancement and lightweight fusion.Scientific reports · 2025Article
2 more citing papers are in PubMed but not listed here.
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
Abstract
A binary classification problem is common in medical field, and we often use sensitivity, specificity, accuracy, negative and positive predictive values as measures of performance of a binary predictor. In computer science, a classifier is usually evaluated with precision (positive predictive value) and recall (sensitivity). As a single summary measure of a classifier's performance,
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.