The potential of machine learning applications in addressing antimicrobial resistance in periodontitis-Reference-Cited by-同舟云学术

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The potential of machine learning applications in addressing antimicrobial resistance in periodontitis

Published:2024-05-02 Issue: Volume: Page:
ISSN:0022-3484
Container-title:Journal of Periodontal Research
language:en
Short-container-title:J of Periodontal Research

Author:

Ardila Carlos‐M.¹²^ORCID,Yadalam Pradeep Kumar³,Minervini Giuseppe⁴

Affiliation:

1. Universidad de Antioquia U de A Medellín Colombia

2. Biomedical Stomatology Research Group Universidad de Antioquia U de A Medellín Colombia

3. Department of Periodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, SIMATS Saveetha University Chennai Tamilnadu India

4. Multidisciplinary Department of Medical‐Surgical and Odontostomatological Specialties University of Campania “Luigi Vanvitelli” Naples Italy

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jre.13282

Reference10 articles.

1. Machine learning

2. The oral microbiota is a reservoir for antimicrobial resistance: resistome and phenotypic resistance characteristics of oral biofilm in health, caries, and periodontitis

3. Antimicrobial resistance of microorganisms present in periodontal diseases: A systematic review and meta-analysis

4. Treatment of stage I–III periodontitis—The EFP S3 level clinical practice guideline

5. Translation of Machine Learning-Based Prediction Algorithms to Personalised Empiric Antibiotic Selection: A Population-Based Cohort Study

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