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2020 – today
- 2024
[i3]Xia Jiang, Yijun Zhou, Chuhan Xu, Adam Brufsky, Alan Wells:
Deep Learning: a Heuristic Three-stage Mechanism for Grid Searches to Optimize the Future Risk Prediction of Breast Cancer Metastasis Using EHR-based Clinical Data. CoRR abs/2408.07673 (2024)- [i2]Xia Jiang, Yijun Zhou, Alan Wells, Adam Brufsky:
Coalitions of AI-based Methods Predict 15-Year Risks of Breast Cancer Metastasis Using Real-World Clinical Data with AUC up to 0.9. CoRR abs/2408.16256 (2024) - [i1]Jan Witowski, Ken Zeng, Joseph Cappadona, Jailan Elayoubi, Elena Diana Chiru, Nancy Chan, Young-Joon Kang, Frederick Howard, Irina Ostrovnaya, Carlos Fernandez-Granda, Freya Schnabel, Ugur Ozerdem, Kangning Liu, Zoe Steinsnyder, Nitya Thakore, Mohammad Sadic, Frank Yeung, Elisa Liu, Theodore Hill, Benjamin Swett, Danielle Rigau, Andrew Clayburn, Valerie Speirs, Marcus Vetter, Lina Sojak, Simone Muenst Soysal, Daniel Baumhoer, Khalil Choucair, Yu Zong, Lina Daoud, Anas Saad, Waleed Abdulsattar, Rafic Beydoun, Jia-Wern Pan, Haslina Makmur, Soo-Hwang Teo, Linda Ma Pak, Victor Angel, Dovile Zilenaite-Petrulaitiene, Arvydas Laurinavicius, Natalie Klar, Brian D. Piening, Carlo Bifulco, Sun-Young Jun, Jae Pak Yi, Su Hyun Lim, Adam Brufsky, Francisco J. Esteva, Lajos Pusztai, Yann LeCun, Krzysztof J. Geras:
Multi-modal AI for comprehensive breast cancer prognostication. CoRR abs/2410.21256 (2024) - 2020
- [j1]Xia Jiang, Alan Wells, Adam Brufsky
, Darshan Shetty, Kahmil Shajihan, Richard E. Neapolitan:
Leveraging Bayesian networks and information theory to learn risk factors for breast cancer metastasis. BMC Bioinform. 21(1): 298 (2020)
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