Workshop Schedule
Workshop Venue:
Hyatt Regency Washington on Capitol Hill
400 New Jersey Avenue, NW
Washington, D.C. 20001, United States
To book a room at the Hyatt Regency Washington on Capitol Hill, please click here. All 2024 IEEE Big Data reservations must be made by Friday, November 22, 2024, at 5 PM ET.
- Sunday, December 15, 2024
- Times are listed in Eastern Standard Time
| Time | Event | Location |
|---|---|---|
| 9:00 - 9:05 | Opening Remarks | Columbia - B |
| 9:05 - 12:30 | Paper Presentations Session 1 | Columbia - B |
| 9:05 - 9:20 | BigD411_8500: Tackling No-show Imbalance Problems for Healthcare Appointment Datasets | Columbia - B |
| 9:20 - 9:35 | BigD690_5077: MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records | Columbia - B |
| 9:35 - 9:50 | BigD787_2075: A Cloud-Native Approach to Hospital Price Transparency | Columbia - B |
| 9:50 - 10:00 | S38217: Deep Learning Models for Diabetic Retinopathy Detection: A Comparative Study | Columbia - B |
| 10:00 - 10:30 | Coffee Break | Columbia Foyer |
| 10:30 - 10:45 | BigD875_3498: CLINICSUM: Utilizing Language Models for Generating Clinical Summaries | Columbia - B |
| 10:45 - 11:00 | S38201: Explainable RNN Classification of Right Ventricular Dysfunction | Columbia - B |
| 11:00 - 11:15 | S38218: Using Speech Characteristics from Children’s Story Narratives to Detect Autism | Columbia - B |
| 11:15 - 11:30 | S38216: Explainable Vertical Federated Learning for Healthcare | Columbia - B |
| 11:30 - 11:45 | S38202: Magnol.Ai - An IoMT Platform for Digital Health Research | Columbia - B |
| 11:45 - 12:00 | N264: Multi-Scale Demographic Analysis and Predictive Modeling of COVID-19 Booster Rates | Columbia - B |
| 12:00 - 12:15 | S38214: Preparing Wearable Data for AI-Powered Mood Prediction in HCT Patients | Columbia - B |
| 12:15 - 12:30 | S38203: Interactive Visualization of BioMedical Data | Columbia - B |
| 12:30 - 14:00 | Lunch Break | N/A |
| 14:00 - 15:00 | Keynote: Integrating Biomedical Insights with Social Determinants of Health for Healthcare | Columbia - B |
| 15:00 - 17:00 | Paper Presentations Session 2 | Columbia - B |
| 15:00 - 15:10 | S38204: Automatic Sleep Stage Classification for Sleep Apnea Patients | Columbia - B |
| 15:10 - 15:20 | S38205: Training Variational Autoencoders for Population Synthesis with Missing Data | Columbia - B |
| 15:20 - 15:30 | S38207: GPT-4 on Clinic Depression Assessment: An LLM-Based Pilot Study | Columbia - B |
| 15:30 - 15:40 | S38208: Predicting TGF-β1 Inhibitors for Cardiac Fibrosis Treatment Using ML and Transformers | Columbia - B |
| 15:40 - 15:50 | S38211: Identifying Neurological Disorders with Explainable ML Techniques | Columbia - B |
| 15:50 - 16:00 | S38213: Reducing Subgroup Disparity in Pediatric COVID-19 Test Outcome Predictions | Columbia - B |
| 16:00 - 16:30 | Coffee Break | Columbia Foyer |
| 16:30 - 16:40 | S38215: Bias and Generalizability Challenges in ML Models for Leptospirosis | Columbia - B |
| 16:40 - 17:00 | Best Paper Award: S38212: Geographical Insights into Suicide Mortality Through Spatial ML | Columbia - B |
| 17:00 - 17:05 | Closing Remarks | Columbia - B |