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SVM-integrated PCM model
UTA Associate Professor Suvra Pal, right, and his student student Wisdom Aselisewine, left, published a new model predicting survival of cancer. [Sources: UTA photos, istockphoto background]
UTA Study Shows Machine Learning Technique Is 30% Better at Predicting Cancer Cure Rates
by Lance Murray | Dec 6, 2023
UT Arlington principal investigator Dr. Suvra Pal said that previous studies modeling the probability of a cancer cure—also called the cure rate—"used a generalized linear model." The new statistical modeling method published by Pal and his student is said to be 30% more effective in predicting who will be cured of cancer and who will need further treatment.
