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Comparative analysis of traditional machine learning and automated machine learning: advancing inverted papilloma versus associated squamous cell carcinoma diagnosis.

Authors :
Hosseinzadeh, Farideh
Mohammadi, S. Saeed
Palmer, James N.
Kohanski, Michael A.
Adappa, Nithin D.
Chang, Michael T.
Hwang, Peter H.
Nayak, Jayakar V.
Patel, Zara M.
Source :
International Forum of Allergy & Rhinology. Dec2024, Vol. 14 Issue 12, p1957-1960. 4p.
Publication Year :
2024

Abstract

Key points: Inverted papilloma conversion to squamous cell carcinoma is not always easy to predict.AutoML requires much less technical knowledge and skill to use than traditional ML.AutoML surpassed the traditional ML algorithm in differentiating IP from IP‐SCC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20426976
Volume :
14
Issue :
12
Database :
Academic Search Index
Journal :
International Forum of Allergy & Rhinology
Publication Type :
Academic Journal
Accession number :
181259270
Full Text :
https://doi.org/10.1002/alr.23438