Program Schedule

Poster Session 1 and Reception

A Data Structure and Methodology for Referent Tracking with the Alzheimer's Disease Neuroimaging (ADNI) Knowledge Base Speaker: Lauren Wishnie

A Narrative Review of Trustable AI to Develop an AI-Clinical Decision Support “Product Information Label” Speaker: Ariella Hoffman-Peterson

Anomaly Identification Model for 12-Lead ECG Based on Cycle-GAN Speaker: Jose Moon

Apps for COVID 19: Preliminary Results of a Systematic Review of Reviews Speaker: Marco Aigner

Artificial Intelligence/Machine Learning Curriculum for Health Informatics: Hands-on Skills Training to Analyze Supervised and Unsupervised Machine Learning Algorithms Speaker: Hasan Sapci

Association between linguistic features and help-seeking among women with intimate partner violence in online health communities (OHCs) Speaker: Chi Ching Vivian Hui

Biomedical Data Commons: A Publicly Available Knowledge Graph Speaker: Samantha Piekos

Calculating Mediation Effects of High Dimensional Radiomic Data Between Exposure and Outcome Speaker: Emily Mastej

CNVpred: Classifying Pathogenic Copy Number Variants with Machine Learning Speaker: Robert Schuetz

Comparison of Hospital-Wide vs Location-Specific Models for Predicting Pediatric Critical Deterioration Speaker: Huan Liang

Deep-Convolution Neural Network Based on 12-lead ECG for Idiopathic Parkinson Diagnosis Speaker: Hakje Yoo

Design and Implementation of a Methodology to Identify Polypharmacy, Alcohol, and Other Substance Use in People with HIV Speaker: Farah Kidwai-Khan

Detecting Phenotypes Among Patients Suspected of Rare Mendelian Disorders Speaker: Kai-Wen K. Yang

Developing an Artificial Intelligence-based Model for Prospective Weight Entry Error Detection in Pediatrics Speaker: Hanniel Shih

Facilitators and Barriers to Older Adults? Use of Digital Home Assistants: Implications for Informatics Speaker: Emma Lachs

Generalizable Criteria for Machine-Learning Model Bias Assessment Speaker: Sean Legler

Hospital At Home: Leveraging Business Intelligence for Data-Driven Solutions Speaker: John Kim

Identification of Sequence-based Transcription Profiling Associated with Alzheimer?s Disease Speaker: Yuji Zhang

Identifying Patients with Prenatally Diagnosed Down Syndrome in a Large NICU Population via Rule-Based Text Processing Speaker: Austin Antoniou

Joint Prediction of Mortality and Hospitalization for End-Stage Renal Disease Patients Using Multi-Task Learning with Electronic Health Record Data Speaker: Caitlyn Nguyen

Machine Learning Model For Predicting Delirium In Patients In The Intensive Care Unit Using Environmental Noise Speaker: Sabyasachi Bandyopadhyay

Machine Learning Model Interpretation Tools Reveal Sub-Populations with Differing Predictors in a Clinical Prediction Model Speaker: Lorne Walker

Multivariate Analysis of Factors Influencing Primary Care No-Shows Speaker: Sanah Ali

Ontology-Assisted Data Analysis for Cholangiocarcinoma Speaker: Anuwat Pengput

Patient Reported Symptom Correlations: Analysis of 103,170 Responses Speaker: Mary McAteer

Precision Oncology: Siamese Neural Network Based Approach to Discovery of Treatment Response Biomarkers Speaker: Kevin Tabatabaei

Predicting Change in County-Level Alzheimer?s Disease Incidence Rate using Shapelet-Based Analysis of Pollution Recordings Speaker: Caden Stewart

Predicting Chemical Toxicity by Applying a Hierarchical Bayesian Approach with Priors to the Tox21 Assay Data Speaker: Wenyu Zeng

Predicting Outcomes in Patients with Substance Use-Related Diagnoses Using Electronic Health Record Data and Neighborhood-level Information Speaker: Tim Gruenloh

scRNA-seq Reveals a Type I IFN Signature in Mycobacterium Tuberculosis Infected Mice Lung Speaker: Sadia Akter

SeqPipeline: An Automated Software Tool to Transform Pharmacogenomic Genotypes into Provider-Facing Clinical Decision Support Speaker: Matthew Jack

Supporting Personalized Pregnancy Care Using Artificial Intelligence: A Web-based Tool to Deliver Personalized Health Information Speaker: Yiye Zhang

Text Classification of Cancer Clinical Trial Eligibility Criteria using Natural Language Processing Speaker: yumeng Yang

The Maternal and Pediatric pRecision In Therapeutics (MPRINT) Knowledgebase and Portal Speaker: Xiaofu Liu

Toward Interactive Machine Learning Through Visualizing Predictions of Data Instances Speaker: Hyunggu Jung

Transformer-Based Embedding of Patient Attributes for Characterization of Disease Onset in Breast Cancer Patients Speaker: Benjamin Holmes

Trends in Opioid Use Disorder (OUD) Treatment in Arizona Speaker: Sanah Ali

Use of Natural Language Processing to Identify Activity Reports in Synthetic Medical Progress Notes Speaker: Gary Allen

Using Knowledge from DailyMed to Improve Clinical Relationship Extraction Speaker: Kelsey Shearon

Using Natural Language Processing to Identifying Critical Results on Thyroid Ultrasounds: Exploring Approaches to Class Imbalance Speaker: Chris George

Using Robotic Process Automation to Improve Data Extraction for Artificial Intelligence Research in Ophthalmology Speaker: Varun Krishnan

Web-Based Clinical Decision Support for Polygenic Risk Scores Speaker: Oluwateniayo Ogunsan

Accounting for informative missingness in clinical prediction models with longitudinal EHR data Speaker: Minghui Sun