| WUSS |
2026 |
From Prediction to Explanation: Per-Patient SHAP Attribution for a Random Forest Diabetes Risk Classifier |
Leon Rod Davoody,
Chary Akmyradov |
source |
12 |
| PHUSE APAC |
2026 |
A Hybrid Machine Learning Framework for Predicting |
Himanshu Dadhich,
Nikhil Khandelwal |
source
presentation source |
26 |
| PHUSE APAC |
2026 |
Elevating transparency in data standardization Applying XAI in SDTM, ADaM, and TLF Generation |
Shakila Jagadeesan |
source
presentation source |
10 |
| PharmaSUG |
2025 |
Methodology for AI-driven Outcome Prediction for Patients with Atrial Fibrillation After Transcatheter Aortic Valve Implantation (TAVI) |
Felix Just,
Krishna Padmanabhan,
Parth Jinger,
Amanda Borrow,
Rüdiger Smolnik,
Eva-Maria Fronk,
Neelam Yadav,
Sergei Krivtcov,
Stas Zakharkin,
Martin Unverdorben,
Asmir Vodencarevic |
source |
6 |
| SGF |
2020 |
Human Bias in Machine Learning: How Well Do You Really Know Your Model? |
Jim Box |
source |
14 |
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