- Machine Learning–Based Survival Prediction Models for ...🔍
- Machine Learning|Based Survival Prediction Models for ...🔍
- Machine Learning|Based Prognostic Model for Hodgkin Lymphoma ...🔍
- Machine learning|based survival prediction models for advanced ...🔍
- Machine Learning|Based Survival Prediction Models ...🔍
- Artificial intelligence|based prognostic model accurately predicts the ...🔍
- Machine Learning Models for the Diagnosis and Prognosis ...🔍
- Application of machine learning in the management of lymphoma🔍
Machine Learning|Based Prognostic Model for Hodgkin Lymphoma ...
Machine Learning–Based Survival Prediction Models for ...
The new prognostic model for aHL on the basis of ML techniques demonstrated a substantial improvement compared with the IPS models, but yielded ...
Machine Learning-Based Survival Prediction Models for ... - PubMed
The new prognostic model ... Machine Learning-Based Survival Prediction Models for Progression-Free and Overall Survival in Advanced-Stage Hodgkin Lymphoma.
Machine Learning-Based Prognostic Model for Hodgkin Lymphoma ...
Researchers developed a machine learning-based prognostic model for advanced-stage Hodgkin lymphoma that outperformed other models tested ...
Paper: A New Machine Learning-Based Prognostic Prediction ...
We used supervised machine learning (ML) to build a multidimensional model to predict POD24, which is defined by primary refractory disease or relapse within ...
Machine learning-based survival prediction models for advanced ...
Here, we summarize the development and validation of a machine learning-based, survival prediction model for patients with advanced-stage ...
P1093: A NEW PROGNOSTIC MODEL FOR INDIVIDUAL ...
Summary/Conclusion: The new prognostic model for aHL based on machine-learning technique (stacked model) demonstrated a substantial improvement in ...
Machine Learning-Based Survival Prediction Models ... - Mayo Clinic
CONCLUSIONThe new prognostic model for aHL on the basis of ML techniques demonstrated a substantial improvement compared with the IPS models, but yielded a ...
Artificial intelligence-based prognostic model accurately predicts the ...
Diffuse large B-cell lymphomas (DLBCLs) display high molecular heterogeneity, but the International Prognostic Index (IPI) considers only ...
Machine Learning Models for the Diagnosis and Prognosis ...
Classification models were established to predict the diagnosis and prognosis of HGBL by machine learning algorithms in this study. The Extreme ...
Application of machine learning in the management of lymphoma
Biccler et al. integrated clinical data to establish a new prognostic model based on ML techniques, which was validated to be remarkably better ...
Machine Learning-Based Survival Prediction Models for ...
Request PDF | Machine Learning-Based Survival Prediction Models for Progression-Free and Overall Survival in Advanced-Stage Hodgkin Lymphoma | PURPOSE ...
Machine Learning–Based Survival Prediction Models for ...
The new prognostic model for aHL on the basis of ML techniques demonstrated a substantial improvement compared with the IPS models, but yielded a limited ...
Predicting lymphoma prognosis using machine learning-based ...
Successfully developed a lactylation-based Riskscore model, which can accurately predict the prognosis of patients with diffuse large B-cell lymphoma.
Machine Learning-Based Survival Prediction Models for ... - BVS
Machine Learning-Based Survival Prediction Models for Progression-Free and Overall Survival in Advanced-Stage Hodgkin Lymphoma. ... Rask Kragh Jørgensen R; ...
Survival trend and outcome prediction for pediatric Hodgkin and non ...
Importantly, the nomogram outperformed the Ann Arbor staging system in survival prediction. Machine learning models achieved AUC values of ...
Using Machine Learning to Expand the Ann Arbor Staging System ...
Algorithm for Clustering Cancer Data (EACCD) to create a prognostic system for lymphoma that integrates additional prognostic factors. Hodgkin ...
An evaluation of machine learning techniques to predict the ...
In this manuscript, we analyze a data set containing information on children with Hodgkin Lymphoma (HL) enrolled on a clinical trial.
The development of a prediction model based on random survival ...
Research article. The development of a prediction model based on random survival forest for the prognosis of non- Hodgkin lymphoma: A prospective cohort study ...
Using Machine Learning to Expand the Ann Arbor Staging System ...
Hodgkin and non-Hodgkin lymphoma survival data were extracted from the Surveillance, Epidemiology, and End Results Program of the National Cancer Institute and ...
(PDF) Logic Learning Machine and standard supervised methods ...
This study evaluates the performance of a set of machine learning techniques in predicting the prognosis of Hodgkin's lymphoma using ...