ArticleFrontiers in neurology2019
Automatic Machine-Learning-Based Outcome Prediction in Patients With Primary Intracerebral Hemorrhage.
Article in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 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
43 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Machine Learning-Based Prediction of Poor Outcomes in Intracerebral Hemorrhage: A Systematic Review and Meta-Analysis.Brain and behavior · 2026Pooled it
- Machine learning prediction of motor function in chronic stroke patients: a systematic review and meta-analysis.Frontiers in neurology · 2023Pooled it
- Machine learning-based study of the predictors of clinically important change in patient-reported outcomes in bilateral upper-limb function in patients receiving robotic stroke rehabilitation.Frontiers in rehabilitation sciences · 2026Article
- Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach.Biomolecules & biomedicine · 2025Article
- Machine learning-based prediction of 90-day prognosis and in-hospital mortality in hemorrhagic stroke patients.Scientific reports · 2025Article
- Anticoagulation management in intracerebral hemorrhage patients with deep vein thrombosis: insights from unsupervised machine learning and nomogram analysis.Frontiers in neurology · 2025Article
- The use of cloud based machine learning to predict outcome in intracerebral haemorrhage without explicit programming expertise.Neurosurgical review · 2024Article
- Evaluation of Rehabilitation Outcomes in Patients with Chronic Neurological Health Conditions Using a Machine Learning Approach.Journal of functional morphology and kinesiology · 2024Article
- A comprehensive comparison of machine learning models for ICH prognostication: Retrospective review of 1501 intra-cerebral hemorrhage patients from the Qatar stroke database.Neurosurgical review · 2024Article
- Impact Exploration of Spatiotemporal Feature Derivation and Selection on Machine Learning-Based Predictive Models for Post-Embolization Cerebral Aneurysm Recanalization.Cardiovascular engineering and technology · 2024Article
- CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage.European radiology · 2024Article
- Brain is also time: good short-term outcome predictions of artificial intelligence in spontaneous intracerebral hemorrhage pave the way for the long-term assessment.European radiology · 2024Article
- Article
- Machine learning applications in stroke medicine: advancements, challenges, and future prospectives.Neural regeneration research · 2024Review
- Article
- Stroke rehabilitation: from diagnosis to therapy.Frontiers in neurology · 2024Review
- Predicting the recurrence of spontaneous intracerebral hemorrhage using a machine learning model.Frontiers in neurology · 2024Article
- Predicting the 90-day prognosis of stereotactic brain hemorrhage patients by multiple machine learning using radiomic features combined with clinical features.Frontiers in surgery · 2024Article
- Development and validation of a random forest model to predict functional outcome in patients with intracerebral hemorrhage.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Article
- Novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study.Neurological research and practice · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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.