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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 21, 2022
Exploiting Domain Knowledge as Causal Independencies in Modeling Gestational DiabetesSaurabh Mathur, Athresh Karanam, Predrag Radivojac, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 21, 2022
Using Association Rules to Understand the Risk of Adverse Pregnancy Outcomes in a Diverse PopulationHoyin Chu, Rashika Ramola, Shantanu Jain, et al.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|June 24, 2014
Identifying Adverse Drug Events by Relational LearningDavid Page, Vítor Santos Costa, Sriraam Natarajan, et al.Artificial Intelligence in Medicine. Conference on Artificial Intelligence in Medicine (2005- )|July 14, 2021
A Probabilistic Approach to Extract Qualitative Knowledge for Early Prediction of Gestational DiabetesAthresh Karanam, Alexander L Hayes, Harsha Kokel, et al.Journal of Clinical Medicine|April 13, 2023
Predicting Cardiac Arrest in Children with Heart Disease: A Novel Machine Learning AlgorithmPriscilla Yu, Michael Skinner, Ivie Esangbedo, et al.ASAIO Journal (American Society for Artificial Internal Organs : 1992)|April 1, 2024
Neurologic Statistical Prognostication and Risk Assessment for Kids on Extracorporeal Membrane Oxygenation-Neuro SPARKNeel Shah, Saurabh Mathur, Prashanth Shanmugham, et al.Neuroimaging Clinics of North America|October 8, 2017
Machine Learning Applications to Resting-State Functional MR Imaging AnalysisJohn M Billings, Maxwell Eder, William C Flood, et al.Knowledge and Information Systems|November 11, 2017
Markov Logic Networks for Adverse Drug Event Extraction from TextSriraam Natarajan, Vishal Bangera, Tushar Khot, et al.Information (Basel)|April 27, 2026
EHR Sampling Interval Bias Detection and Burden of Blood Pressure Excursions: Implications for Clinical Decision Support and Model Validity in Pediatric ECMONeel Shah, Ethan Sanford, David R Busch, et al.Burns & Trauma|November 8, 2023
Chinese expert consensus on the Management of Pediatric Deep Partial-Thickness Burn Wounds (2023 edition)Yan Liu, Pageof 1,572