Latest

• Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
• Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department
• Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces
• Learning Topic Models - Provably and Efficiently
• Contextual Autocomplete: A Novel User Interface Using Machine Learning to Improve Ontology Usage and Structured Data Capture for Presenting Problems in the Emergency Department
• Creating an Automated Trigger for Sepsis Clinical Decision Support at Emergency Department Triage using Machine Learning
• Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network
• Learning a Health Knowledge Graph from Electronic Medical Records
• Clinical Tagging with Joint Probabilistic Models
• Electronic Medical Record Phenotyping using the Anchor & Learn Framework
• PhD Thesis: Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine
• Anchored Discrete Factor Analysis
• Using Anchors to Estimate Clinical State without Labeled Data
• A Practical Algorithm for Topic Modeling with Provable Guarantees
• Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests
• Predicting Chief Complaints at Triage Time in the Emergency Department
• Unsupervised Learning of Noisy-Or Bayesian Networks
• A Comparison of Dimensionality Reduction Techniques for Unstructured Clinical Text