collaborators

6 papers

cs.LG2026

CASCADE Conformal Prediction: Uncertainty-Adaptive Prediction Intervals for Two-Stage Clinical Decision Support

Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora +1

Effective medication management in Parkinson's Disease (PD) is challenging due to heterogeneous disease progression, variable patient response, and medication side effects. While A…

stat.ME2026

Classification-Powered Conformal Inference for Zero-inflated Outcomes

Zhirui Li, Ricardo Diaz-Rincon, Benjamin Shickel +3

Zero-inflated outcomes, where responses are zero with positive probability and otherwise continuous, are common in biomedical, environmental, and social science studies. We propose…

cs.LG2026

Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications

Yuanfang Ren, Varun Sai Vemuri, Zhenhong Hu +6

Background: This study aims to develop and validate federated learning models for predicting major postoperative complications and mortality using a large multicenter dataset from…

cs.LG2025

Uncertainty-Aware Prediction of Parkinson's Disease Medication Needs: A Two-Stage Conformal Prediction Approach

Ricardo Diaz-Rincon, Muxuan Liang, Adolfo Ramirez-Zamora +1

Parkinson's Disease (PD) medication management presents unique challenges due to heterogeneous disease progression and treatment response. Neurologists must balance symptom control…

q-bio.QM2025

Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning

Esra Adiyeke, Tianqi Liu, Venkata Sai Dheeraj Naganaboina +10

Traditional methods of surgical decision making heavily rely on human experience and prompt actions, which are variable. A data-driven system generating treatment recommendations b…

cs.HC2025

Validation of the MySurgeryRisk Algorithm for Predicting Complications and Death after Major Surgery: A Retrospective Multicenter Study Using OneFlorida Data Trust

Yuanfang Ren, Esra Adiyeke, Ziyuan Guan +6

Despite advances in surgical techniques and care, postoperative complications are prevalent and effects up to 15% of the patients who underwent a major surgery. The objective of th…