Informative Power Evaluation of Clinical Parameters to Predict Initial Therapeutic Response in Patients with Advanced Pleural Mesothelioma: A Machine Learning Approach

Informative Power Evaluation of Clinical Parameters to Predict Initial Therapeutic Response in Patients with Advanced Pleural Mesothelioma: A Machine Learning Approach

Malignant pleural mesothelioma (MPM) is a rare neoplasm whose early diagnosis is challenging and systemic treatments are generally administered as first line in the advanced disease stage. The initial clinical response may represent a useful parameter in terms of identifying patients with a better l...

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Bibliographic Details
Main Authors: Raffaella Massafra, Annamaria Catino, Pia Maria Soccorsa Perrotti, Pamela Pizzutilo, Annarita Fanizzi, Michele Montrone, Domenico Galetta
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Journal of Clinical Medicine
Subjects:
pleural mesothelioma
initial therapeutic response
early prediction
machine learning
clinical parameters
Online Access:https://www.mdpi.com/2077-0383/11/6/1659

Internet

https://www.mdpi.com/2077-0383/11/6/1659

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