Validation pipeline for machine learning algorithm assessment for multiple vendors

A standardized objective evaluation method is needed to compare machine learning (ML) algorithms as these tools become available for clinical use. Therefore, we designed, built, and tested an evaluation pipeline with the goal of normalizing performance measurement of independently developed algorith...

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Veröffentlicht in:	PloS one 2022-04, Vol.17 (4), p.e0267213-e0267213
Hauptverfasser:	Bizzo, Bernardo C, Ebrahimian, Shadi, Walters, Mark E, Michalski, Mark H, Andriole, Katherine P, Dreyer, Keith J, Kalra, Mannudeep K, Alkasab, Tarik, Digumarthy, Subba R
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Annotations Artificial intelligence Biology and Life Sciences Chest Computed tomography Computer and Information Sciences Data science Evaluation Humans Image annotation Keywords Learning algorithms Lung cancer Lung Neoplasms - diagnosis Lung nodules Lungs Machine Learning Medical schools Medical screening Medicine and Health Sciences Model testing Nodules Normalizing People and Places Performance assessment Performance measurement Physical Sciences Recall Research and Analysis Methods Retrospective Studies Security Social Sciences Tomography, X-Ray Computed - methods
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