… metastases and validate their utility in metastatic risk assessment at an early stage using
a machine-learning model to sort out a distinguishing subtype, namely Metastasis-Featuring …

… to predict the recurrence and metastasis risk of an individual patient, … metastasis risk
assessment framework from histopathological images using image features and machine learning …

… Despite a slight overestimation of the metastatic risk for shorter times, the model was able
to … as the tumor size increased, with overestimation of the relapse risk for large PT sizes. …

… a risk prediction model for lymph node metastasis (LNM) of Ewing’s sarcoma (ES) based on
machine learning (ML) … We applied ML algorithms to establish a risk prediction model. Model …

… for metastasis. … the metastatic risk of tumors and cell-lines. Utilizing our experimental database,
we compare the capacity of several machine learning models to predict the metastatic risk…

… This study aimed to develop and validate a clinical prediction model to predict the risk of
lung metastasis among osteosarcoma patients based on machine learning (ML) algorithms. …

… tools based on machine learning can accurately … metastasis (LNM) is associated with the
prognosis of patients with kidney cancer. This study aimed to provide reliable machine learning-…

… This research was designed to compare the ability of different machine learning (ML) models
and nomogram to predict distant metastasis in male breast cancer (MBC) patients and to …

… for non-invasive and objective risk stratification of primary prostate … machine learning-based
analysis of quantitative [ 18 F]DCFPyL PET metrics to predict metastatic disease or high-risk …

… metastasis (BM) is poor, this study is aimed at using big data to build a machine learning (ML)
model to predict the risk … was performed to determine independent risk factors of RCC-BM. …