We compared the performance of four machine learning (ML) algorithms for predicting the risk of locoregional recurrences in patients with OTSCC.
We compared the performance of four machine learning (ML) algorithms for predicting the risk of locoregional recurrences in patients with OTSCC.
Comparison of supervised machine learning classification. 1 techniques in prediction of locoregional recurrences in early oral. 2 tongue cancer. 3. Rasheed ...
The performance of these algorithms for producing better predictive models for oral cavity cancer outcomes (such as locoregional recurrence) has been previously ...
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer. Rasheed Omobolaji ...
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer · Rasheed Omobolaji ...
People also search for
Related conditions
For informational purposes only. Consult your local medical authority for advice.
The purpose of the present study was to compare the performance of machine learning algorithms in the prediction of global, recurrence-free five-year survival.
People also ask
Is classification a supervised machine learning techniques?
What are two types of supervised machine learning algorithms?
What is Supervised Learning classification and prediction?
What is classification vs prediction machine learning?
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer. International ...
Aug 17, 2019 · In this study, we explored the use of ANN to predict locoregional recurrences in early-stage oral tongue cancer and we reported a better ...
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer. Int J Med Inform ...