activity
20232026
most citedTemporal Supervised Contrastive Learning for Modeling Patient Risk Progression

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis

Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss +1

Estimating heterogeneous treatment effects (HTEs) from right-censored survival data is critical in high-stakes applications such as precision medicine and individualized policy-mak…

cs.LG2025

Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025

Emily Alsentzer, Marie-Laure Charpignon, Bill Chen +90

The 6th Annual Conference on Health, Inference, and Learning (CHIL 2025), hosted by the Association for Health Learning and Inference (AHLI), was held in person on June 25-27, 2025…

cs.AI2025

The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis

Shahriar Noroozizadeh, Pim Welle, Jeremy C. Weiss +1

This study quantifies the association between non-adherence to antipsychotic medications and adverse outcomes in individuals with schizophrenia. We frame the problem using survival…

cs.CL2025

PMOA-TTS: Introducing the PubMed Open Access Textual Times Series Corpus

Shahriar Noroozizadeh, Sayantan Kumar, George H. Chen +1

Clinical narratives encode temporal dynamics essential for modeling patient trajectories, yet large-scale temporally annotated resources are scarce. We introduce PMOA-TTS, a corpus…

cs.LG2023★ 2 cited

Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression

Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen

We consider the problem of predicting how the likelihood of an outcome of interest for a patient changes over time as we observe more of the patient data. To solve this problem, we…