ArticleFrontiers in medicine2021
Using Machine Learning Algorithms to Predict Candidaemia in ICU Patients With New-Onset Systemic Inflammatory Response Syndrome.
Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Systematic review of prediction models and meta-analysis of risk factors for invasive fungal infection in children.BMJ open · 2026Pooled it
- Invasive Candidiasis in Critically Ill Patients: Fundamental Concepts and Future Directions.Chest · 2026Review
- Two-step deep-learning candidemia prediction model using two large time-sequence electronic health datasets.medRxiv : the preprint server for health sciences · 2026Article
- Can Artificial Intelligence Optimize the Early Diagnosis of Invasive Candidiasis? A Systematic Review and Meta-Analysis.Journal of fungi (Basel, Switzerland) · 2026Review
- Deep Learning for the Early Diagnosis of Candidemia.Infectious diseases and therapy · 2025Article
- Ensemble Learning-Based Alzheimer's Disease Classification Using Electroencephalogram Signals and Clock Drawing Test Images.Sensors (Basel, Switzerland) · 2025Article
- FromFrontiers in medicine · 2025Article
- Epidemiological shifts and advances in research on early diagnosis of invasive fungal infection in critically ill patients.Frontiers in cellular and infection microbiology · 2025Review
- Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records.PLOS digital health · 2024Article
- Development and validation of prediction models for nosocomial infection and prognosis in hospitalized patients with cirrhosis.Antimicrobial resistance and infection control · 2024Article
- Machine learning models to predict systemic inflammatory response syndrome after percutaneous nephrolithotomy.BMC urology · 2024Article
- A privacy-preserving platform oriented medical healthcare and its application in identifying patients with candidemia.Scientific reports · 2024Article
- Prediction of candidemia with machine learning techniques: state of the art.Future microbiology · 2024Review
- Identifying the risk factors of ICU-acquired fungal infections: clinical evidence from using machine learning.Frontiers in medicine · 2024Article
- Chinese experts' consensus on the application of intensive care big data.Frontiers in medicine · 2023Article
- Machine Learning and Antibiotic Management.Antibiotics (Basel, Switzerland) · 2022Article
- A New Random Forest Algorithm-Based Prediction Model of Post-operative Mortality in Geriatric Patients With Hip Fractures.Frontiers in medicine · 2022Article
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 at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.