PT13: Claims-Based Machine Learning Algorithms to Predict ECOG Performance Status (ECOG) for Pan-Cancer (Prostate, Breast, Colorectal, Gastric, Non-small Cell Lung (NSCLC), and Pancreatic Cancer) Patients

PT14: The Effectiveness of Bisphosphonates on Recurrent Osteoporotic Fractures Post-Denosumab Discontinuation Using Causal Machine Learning

PT15: Machine Learning Vs Traditional Statistics: Developing a Novel Proxy for HPV-Associated LA SCCHN

PT16: A Machine Learning-Based Approach to Predicting Acute Kidney Injury and Associated Medication Regimen Use in Critically Ill Adults

PT17: Addressing Gaps in Real-World Data Sources through Automated Extraction of Psychiatric Comorbidities and Medication Side Effects from Clinical Notes

PT18: Predicting Cost-Related Medication Adherence in Patients with Cognitive Impairment: A Machine Learning Approach