ArticleFrontiers in cellular and infection microbiology2021
Application of Machine Learning Classifier to
Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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
19 citing papers in PubMed, 33 citations in OpenAlex.
- From Species Identification to Empirical Therapy: A Machine Learning and Rule-Based Decision Support Framework for Antifungal Resistance Prediction in ICUMedical sciences (Basel, Switzerland) · 2026Article
- The emerging pathogen Candida auris: host interactions and disease drivers.Journal of biomedical science · 2026Review
- StackPVP: a stacked ensemble classification framework for predicting phage virion proteins using integrated evolutionary features.Frontiers in microbiology · 2026Article
- Formulation-Driven Innovation in Antifungal Therapy: From Nanotechnology to AI-Assisted Design.International journal of nanomedicine · 2026Review
- Genome analysis and machine learning-based feature selection strategy reveal potential drug-resistance determinants inEmerging microbes & infections · 2025Article
- Unlocking antimicrobial resistance with multiomics and machine learning.Trends in microbiology · 2025Article
- Review of Applications of Zeolites in Dermatology: Molecular Perspectives and Translational Potentials.International journal of molecular sciences · 2025Review
- Integrating yeast biodiversity and machine learning for predictive metabolic engineering.FEMS yeast research · 2025Review
- AI in fungal drug development: opportunities, challenges, and future outlook.Frontiers in cellular and infection microbiology · 2025Review
- The multidrug-resistantCurrent research in microbial sciences · 2025Review
- New Ground in Antifungal Discovery and Therapy for Invasive Fungal Infections: Innovations, Challenges, and Future Directions.Journal of fungi (Basel, Switzerland) · 2024Review
- Comparative Genomics of the First ResistantJournal of fungi (Basel, Switzerland) · 2024Article
- Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.Microorganisms · 2024Review
- Emerging Antifungal Resistance in Fungal Pathogens.Current clinical microbiology reports · 2024Review
- Article
- TheiaEuk: a species-agnostic bioinformatics workflow for fungal genomic characterization.Frontiers in public health · 2023Article
- Confirmation of fifthEmerging microbes & infections · 2022Article
- Therapeutic Intervention for Various Hospital Setting Strains of Biofilm FormingPharmaceutics · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 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.