Information systems assurance practices in China: Where they are and where are they going? - Philip Yang (Int. J. Account. Inf. Syst., 2012)

A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. - Majid Afshar; Cara Joyce; Anthony Oakey; Perry Formanek; Philip Yang; Matthew M. Churpek; Richard S. Cooper; Ron Price; Susan J. Zelisko; Dmitriy Dligach (AMIA, 2018)

Initial Validation of Multi-Frequency Patch-Based Impedance Pneumography in Hospital Settings. - Jesus Antonio Sanchez-Perez; Samer Mabrouk; John A. Berkebile; Annette Esper; Philip Yang; Rishikesan Kamaleswaran; Omer T. Inan (IEEE SENSORS, 2022)

Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units. - Alan Wu; Tilendra Choudhary; Pulakesh Upadhyaya; Ayman Ali; Philip Yang; Rishikesan Kamaleswaran (CoRR, 2024)

RespBERT: A Multi-Site Validation of a Natural Language Processing Algorithm, of Radiology Notes to Identify Acute Respiratory Distress Syndrome (ARDS). - Ashwin Pathak; Curtis Marshall; Carolyn Davis; Philip Yang; Rishikesan Kamaleswaran (IEEE J. Biomed. Health Informatics, 2025)

CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories. - Mehak Arora; Ayman Ali; Kaiyuan Wu; Carolyn Davis; Takashi Shimazui; Mahmoud Alwakeel; Victor Moas; Philip Yang; Annette Esper; Rishikesan Kamaleswaran (CoRR, 2025)