RESEARCH OUTPUT ANALYSIS AT THE UNIVERSITY OF ROCHESTER
This project showcases an analysis on the research output at the University of Rochester.
URMC – Wang, Predicting Adverse Outcomes due to Polypharmacy in Older Adults
This project investigated whether patterns in medication use among older adults could help predict rehospitalization after home healthcare. Using data from over 6,800 patients, we analyzed active medications, diagnoses, and patient characteristics, mapping them to standardized codes like RxNorm and PhecodeX. We applied clustering techniques and machine learning models, including XGBoost and BERT-based text embeddings, to identify potential risk factors. Although some variables—like hyper-polypharmacy, reduced physical function (ADL), and certain medication classes—were associated with increased risk, no clear or consistent clusters emerged as highly predictive. Our best-performing model achieved 96% accuracy and 97% ROC-AUC, reinforcing the value of advanced methods but also underscoring the need for individualized deprescribing strategies in geriatric care.
Benchmark Labs: Point-Specific Wave Height Forecasting Using Time Series Analysis
DSCC383 Team 10: Brennan Kalinowski, Tarun Paravasthu, Sean Tian, Madeleine Johnson Advisor: Cantay Caliskan, Ph.D Sponsor: Benchmark Labs Introduction Background: Organizations like the National Weather Service use numerical weather models…
Predicting Chemotherapy Decisional Regret in Older Adults Using Machine Learning
Team Mehmed Emre Aktaş, Navya Bhagat, Lakshmi Kanumuri, Narm Nathan Sponsor: Dr. Erika Ramsdale, University of Rochester Medical Center Instructor: Dr. Cantay Caliskan, University of Rochester Goergen Institute for Data…
Paychex
Project Title: An AI-Powered Regulatory Chatbot for Labor LegislationTeam Members: Ethan Leung, Carol Li, Astha Singh, Keming ZhangSponsor: PaychexAffiliation: Goergen Institute for Data Science, University of Rochester INTRODUCTION In today’s fast-evolving regulatory…
Public Perception & Impact ofDisposable E-cig Ban in UK
Team Members Chengze Miao, Xinyu Wang, Yamin Zheng, Bruce Zhang, Isabel Liu Academic Advisor Professor Ajay Anand Sponsor Dr. Zidian Xie Abstract In response to rising public concerns over youth…
Zalliant: Integrating Forecasting for Weather-Optimized Crop Cutting
Team members: Skye Crocker, Colin Hascup, Ahmed Malik, Lam Nguyen, Ruilin ZhangSponsor: Zalliant | Instructors: Ajay Anand, Ph.D. Cantay Caliskan, Ph.D. Drying crops before storage as hay or silage is…
URMC – Dreisbach
Social Determinants of Health Factors as Upstream Predictors of Postpartum Hemorrhage Sponsor: Caitlin Dreisbach Coauthors: Aditi Marupaka Katie Nguyen Tracy Tan Peter Zhao Yuki Li Team 4, DSCC 383W Data…
D3 Embedded – “Ewaste-Net”: Everything It Touches Turns Into Gold
D3 Embedded – “Ewaste-Net”: Everything It Touches Turns Into Gold Author Sponsor D3 Embedded Instructor Professor Ajay Anand Professor Cantay Caliskan Abstract Our project tackles the growing mountain of ewaste…
Leveraging Data Science for Supply Chain & Risk Mitigation
Authors Zhe Chen, Luca Laport, Erjia Meng, Zhefu Qin, Diego Velázquez Sponsor Rel8ted, Ryan Hilimoniuk Instructor Professor Ajay Anand Abstract Modern supply chains face growing risks from geopolitical instability, financial…
CircleStar｜How to Make Your Resume Fool LLM
Contributors Abstract As AI tools enter hiring, understanding how they interpret resumes is critical. We studied how machine learning models and LLM APIs classify resumes and infer experience, using 2,484…