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…
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…
URMC-CTSI, Engage Vapor: Strategies from E-cigarette Social Analytics
Author Sponsor Dr. Zidian Xie Instructor Professor Ajay Anand Professor Cantay Caliskan Abstract In the digital age, Twitter has emerged as ancentral arena for public health issues, particularly those involv-ing…
Pairs Trading Algorithm Development for FLXAI
1. Introduction Investment, based on the definition of Robinhood (one famous online brokerage platform), is the attempt to buy assets (stocks, real estate, etc.) with own resources (money or credit)…
Machine Learning Decision Support Tool For Trauma Activation Level
ML Based classification model to detect triage level for patients arriving at trauma centre, and thus allocate appropriate resources. This was achieved using patients’ data from URMC (Department of Paediatrics).