Data from Development and Validation of Machine Learning–based Model for the Prediction of Malignancy in Multiple Pulmonary Nodules: Analysis from Multicentric Cohorts

Exploring foci of: doi.org Data from Development and Validation of Machine Learning–based Model for the Prediction of Malignancy in Multiple Pulmonary Nodules: Analysis from Multicentric Cohorts March 2023 • Kezhong Chen, Yuntao Nie, Samina Park, Kai Zhang, Yangming Zhang, Yuan Liu, Bengang Hui, Lixin Zhou, Xun Wang, Qingyi Qi, Hao Li, Guannan Kang, Yuqin… &lt;div&gt;AbstractPurpose:&lt;p&gt;Nodule evaluation is challenging and critical to diagnose multiple pulmonary nodules (MPNs). We aimed to develop and validate a machine learning–based model to estimate the malignant probability of MPNs to guide decision-making.&lt;/p&gt;Experimental Design:&lt;p&gt;A boosted ensemble algorithm (XGBoost) was used to predict malignancy using the clinicoradiologic variables of 1,739 nodules from 520 patients with MPNs at a Chinese center. The model (PKU-M model) was trained using … Open Article Page

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