Table S12 from The Spatial Structure of the Tumor Immune Microenvironment Can Explain and Predict Patient Response in High-Grade Serous Carcinoma

Table S12 from The Spatial Structure of the Tumor Immune Microenvironment Can Explain and Predict Patient Response in High-Grade Serous Carcinoma

<p>Table S12. Random forest predictive performance results. Full results for all random forest models using 15 different feature sets. Mean and standard deviation AUC results across 500 evaluations are reported for both OS and PFS.</p>

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Bibliographic Details
Main Author: Lucy B. Van Kleunen (20104025) (author)
Other Authors: Mansooreh Ahmadian (20104028) (author), Miriam D. Post (15090798) (author), Rebecca J. Wolsky (20104031) (author), Christian Rickert (20104034) (author), Kimberly R. Jordan (15049505) (author), Junxiao Hu (16157686) (author), Jennifer K. Richer (14946445) (author), Lindsay W. Brubaker (19330142) (author), Nicole Marjon (18175977) (author), Kian Behbakht (15098439) (author), Matthew J. Sikora (14932044) (author), Benjamin G. Bitler (15027282) (author), Aaron Clauset (10453891) (author)
Published: 2024
Subjects:
Cancer
Cancer Detection and Diagnosis
Methods and Technology
Biomarkers
Imaging biomarkers
Prognostic biomarkers
Biostatistics
Computational Methods
Artificial intelligence & machine learning
Mathematical modeling
Gynecological Cancers
Ovarian cancer
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