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Keywords: Feature Selection
| PO-GePV-M-27 | Group-Lasso Regularized Artificial Neural Network for Embedded Feature Selection in Radiomics Study On Pediatric Patients with Craniopharyngioma Treated with Proton Therapy W Yang*, C Hua, T Davis, J Uh, T Merchant, St. Jude Children's Research Hospital, Memphis, TN |
| PO-GePV-M-50 | Predicting Overall Survival of Patients with Glioma Via A Novel Framework Consisting of Two-Phase Feature Selection and Fused Regression Forest H Chen1*, Y Liu2, X Qi3, (1) Xi'an University of Posts and telecommunications, Xi'an, 61, CN, (2) Xi'an University of Posts & Telecommunications, Xi'an, 61, CN, (3) UCLA School of Medicine, Los Angeles, CA |
| TU-CD-TRACK 5-0 | Radiomics and Outcome Prediction H Aerts1*, Y Xiao2*, F Yin3*, E Deutsch4*, (1) Dana-Farber/Brigham Womens Cancer Center, Boston, MA, (2) University of Pennsylvania, Philadelphia, PA, (3) Duke University, Chapel Hill, NC, (4) Universite Paris-saclay, Villejuif, FR |
| WE-IePD-TRACK 3-3 | Machine Learning Based Prediction of Big Inter-Fractional Changes in Lung Tumor Motion During Radiotherapy Course Using Robust Feature Selection Q Wang*, L Dong, B Teo, H Lin, S O'Reilly, University of Pennsylvania, Philadelphia, PA |
| WE-IePD-TRACK 4-3 | Overall Survival Prediction Via An Interpretable Machine Learning Model for Patients with Oropharyngeal Cancer X Pan1*, T Feng2, X Qi3, C Liu4, (1) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, ,CN, (2) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, ,CN (3) UCLA School of Medicine, Los Angeles, CA, (4) Xi'an University of Posts and Telecommunications, Xi'an,shaanxi, ,CN |
| WE-IePD-TRACK 4-5 | Prediction of Cardiotoxicity for Breast Cancer Patients Using Light Gradient Boosting Machine Z Jiang1*, P Diao2, Y Liang3, K Dai4, H Li5, H Wang6, Y Chen7, M Lu8, Y Kuang9, (1) University of Nevada, Las Vegas, Las Vegas, NV, (2) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (3) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (4) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (5) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (6) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (7) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (8) Sichuan Cancer Hospital, Chengdu, Sichuan, CN, (9) University of Nevada, Las Vegas, Las Vegas, NV |