Symposium Program

Time (SGT)

Topic

Introduction

Keynote

Laplace Operators and Graph Convolutional Neural Networks for Medical Applications

Dr. Anqi Qiu, Department of Biomedical Engineering, National University of Singapore (NUS)

Attendee Survey

Break

Paper Presentation

XGBoost for Interpretable Alzheimer’s Decision Support
Authors: Mason Kadem, Michael Noseworthy, and Thomas Doyle

Paper Presentation

Integrating Medication Recommendation and Lab Test Response Prediction for Enhanced Clinical Decision Support 
Authors: Suman Bhoi, Mong Li Lee, Wynne Hsu, and Ngiap Chuan Tan

Paper Presentation

Improving the Reliability of Medical Diagnostic Models Through Rule-based Decision Deferral
Authors: Jacqueline Isabel Bereska, Henk Marquering, Marc Besselink, Jaap Stoker, and Inez Verpalen

Lunch Break

Paper Presentation

SNOOP Method: Faithfulness of Text Summarizations for Single Nucleotide Polymorphisms
Authors: Wolfgang Maass, Cicy K. Agnes, Maxx R. Rahman, and Jonas S. Almeida

Short Paper Presentation

Ethical Challenges of Using Synthetic Data
Authors: Pavitra Chauhan, Lars Ailo Bongo, and Edvard Pedersen

Attendee Activity Update

Break

Breakout Roundtable Discussions (Moderator: Dr. Kelliher)

Reception

Time (SGT)

Topic

Introduction

Keynote

Towards Human-Centered Explainable AI

Dr. Brian Lim, Department of Computer Science, National University of Singapore (NUS)

Attendee Survey

Break

Paper Presentation

Privacy-preserving Data Synthesis Via Differentially Private Normalizing Flows With Application To Electronic Health Records
Authors: Bingyue Sun, Yu Wang, Daniele Schiavazzi, and Fang Liu

Paper Presentation

Quantifying Deep Learning Model Uncertainty in Conformal Prediction
Authors: Hamed Karimi and Reza Samavi

Paper Presentation

Fairness in Machine Learning meets with Equity in Healthcare
Authors: Shaina Raza, Parisa Osivand Pour, and Syed Raza Bashir

Lunch Break

Paper Presentation

Process Knowledge-infused Learning for Clinician-friendly Explanations
Authors: Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, and Amit Sheth

Invited Speaker

Privacy-preserving Inference of Group Mean Difference in Zero-inflated Right Skewed Data with Partitioning and Censoring

Dr. Fang Liu, Department of Applied and Computational Mathematics and Statistics, University of Notre Dame

Attendee Activity Update

Break

Breakout Roundtable Discussions (Moderator: Dr. Doyle)

Plenary Session

Time (SGT)

Topic

Summary presentation of Day 1 symposium breakout session finding

Summary presentation of Day 2 symposium breakout session finding

Moderated breakout discussion on Integration and Synthesis (Moderator: Dr. Kelliher)

Break

Panel Discussion (Moderators: Drs. Doyle and Kelliher)

Concluding Remarks