Development and international validation of logistic regression and machine‐learning models for the prediction of 10‐year molar loss-Reference-Cited by-全球学者库

Development and international validation of logistic regression and machine‐learning models for the prediction of 10‐year molar loss

Published:2022-12-11 Issue:3 Volume:50 Page:348-357
ISSN:0303-6979
Container-title:Journal of Clinical Periodontology
language:en
Short-container-title:J Clinic Periodontology

Author:

Troiano Giuseppe¹^ORCID,Nibali Luigi²^ORCID,Petsos Hari³^ORCID,Eickholz Peter³^ORCID,Saleh Muhammad H. A.⁴,Santamaria Pasquale²^ORCID,Jian Jao⁵^ORCID,Shi Shuwen⁵,Meng Huanxin⁵,Zhurakivska Khrystyna¹,Wang Hom‐Lay⁴^ORCID,Ravidà Andrea⁶

Affiliation:

1. Department of Clinical and Experimental Medicine University of Foggia Foggia Italy

2. Periodontology Unit, Centre for Host‐Microbiome Interactions, Faculty of Dentistry, Oral and Craniofacial Sciences King's College London London UK

3. Department of Periodontology, Center for Dentistry and Oral Medicine (Carolinum) Johann Wolfgang Goethe‐University Frankfurt/Main Frankfurt am Main Germany

4. Department of Periodontics and Oral Medicine University of Michigan School of Dentistry Ann Arbor Michigan USA

5. Department of Periodontology, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology Peking University School and Hospital of Stomatology Beijing China

6. Department of Periodontics and Oral Medicine University of Pittsburgh Pittsburgh Pennsylvania USA

Publisher

Wiley

Subject

Periodontics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jcpe.13739

Reference37 articles.

1. Systematic comparison of machine learning algorithms to develop and validate predictive models for periodontitis

2. Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients

3. SMOTE for high-dimensional class-imbalanced data

4. Furcation Morphology Relative to Periodontal Treatment: Furcation Entrance Architecture

5. A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

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