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Early predicting tribocorrosion rate of dental implant titanium materials using random forest machine learning models

Remya Ampadi Ramachandran, Valentim Adelino Ricardo Barão, Didem Ozevin, Cortino Sukotjo, Srinivasa Pai P, Mathew T. Mathew

2023Tribology International16 citationsDOIOpen Access PDF

Topics & Concepts

TribocorrosionDental implantMaterials scienceCorrosionZirconiumRandom forestTitaniumImplantMachine learningMetallurgyComputer scienceMedicineSurgeryElectrochemistryChemistryElectrodePhysical chemistryOrthopaedic implants and arthroplastyDental Radiography and ImagingDental Implant Techniques and Outcomes
Early predicting tribocorrosion rate of dental implant titanium materials using random forest machine learning models | Litcius