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DeepCausality: A general AI-powered causal inference framework for free text: A case study of LiverTox

DeepCausality: A general AI-powered causal inference framework for free text: A case study of LiverTox

Weida Tong - Xingqiao Wang - Xiaowei Xu - Zhichao Liu - Ramin Homayouni - Qi Liu

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Generating high-fidelity privacy-conscious synthetic patient data for causal effect estimation with multiple treatments

Generating high-fidelity privacy-conscious synthetic patient data for causal effect estimation with multiple treatments

Alejandro F. Frangi - Dong Wang - Jingpu Shi - Gino Tesei - Beau Norgeot

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Facing the Challenges of Developing Fair Risk Scoring Models

Facing the Challenges of Developing Fair Risk Scoring Models

Gero Szepannek - Karsten Lübke - Jochen Papenbrock

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InferBERT: A Transformer-Based Causal Inference Framework for Enhancing Pharmacovigilance

InferBERT: A Transformer-Based Causal Inference Framework for Enhancing Pharmacovigilance

Weida Tong - Alejandro F. Frangi - Xingqiao Wang - Xiaowei Xu - Ruth Roberts - Zhichao Liu

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