5 papers · 1 filter
LLM-Augmented Computational Phenotyping of Long Covid
Jing Wang, Jie Shen, Amar Sra +2
Phenotypic characterization is essential for understanding heterogeneity in chronic diseases and for guiding personalized interventions. Long COVID, a complex and persistent condit…
Predicting Trajectories of Long COVID in Adult Women: The Critical Role of Causal Disentanglement
Jing Wang, Jie Shen, Yiming Luo +3
Early prediction of Post-Acute Sequelae of SARS-CoV-2 severity is a critical challenge for women's health, particularly given the diagnostic overlap between PASC and common hormona…
C-kNN-LSH: A Nearest-Neighbor Algorithm for Sequential Counterfactual Inference
Jing Wang, Jie Shen, Qiaomin Xie +1
Estimating causal effects from longitudinal trajectories is central to understanding the progression of complex conditions and optimizing clinical decision-making, such as comorbid…
Optimal Budgeted Adaptation of Large Language Models
Jing Wang, Jie Shen, Dean Foster +2
The trade-off between labeled data availability and downstream accuracy remains a central challenge in fine-tuning large language models (LLMs). We propose a principled framework f…
Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2
Jing Wang, Amar Sra, Jeremy C. Weiss
The long-term effects of Postacute Sequelae of SARS-CoV-2, known as PASC, pose a significant challenge to healthcare systems worldwide. Accurate identification of progression event…