Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis

23 June 2021

Papers citing "Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis"

6 / 6 papers shown

Title
Enhancing the Interpretability of SHAP Values Using Large Language Models Xianlong Zeng 16 0 0 24 Aug 2024
Translating Expert Intuition into Quantifiable Features: Encode Investigator Domain Knowledge via LLM for Enhanced Predictive Analytics Phoebe Jing Yijing Gao Yuanhang Zhang Xianlong Zeng 24 1 0 11 May 2024
A Customer Level Fraudulent Activity Detection Benchmark for Enhancing Machine Learning Model Research and Evaluation Phoebe Jing Yijing Gao Xianlong Zeng 20 0 0 23 Apr 2024
Similar Data Points Identification with LLM: A Human-in-the-loop Strategy Using Summarization and Hidden State Insights Xianlong Zeng Fanghao Song Ang Liu 28 11 0 03 Apr 2024
Privacy-preserving patient clustering for personalized federated learning Ahmed Elhussein Gamze Gursoy FedML OOD 18 8 0 17 Jul 2023
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale Isotta Landi B. Glicksberg Hao-Chih Lee S. Cherng Giulia Landi M. Danieletto J. Dudley Cesare Furlanello Riccardo Miotto 40 148 0 14 Mar 2020