Preethi Raghavan

A large language model for electronic health records

MIMIC-III, a freely accessible critical care database

Big data analytics to improve cardiovascular care: promise and challenges

Foundation models for generalist medical artificial intelligence

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Large language models in medicine

High-performance medicine: the convergence of human and artificial intelligence

Preparing Medical Imaging Data for Machine Learning

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age

Machine Learning: Algorithms, Real-World Applications and Research Directions

A machine learning-based framework to identify type 2 diabetes through electronic health records

Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis

Artificial intelligence in healthcare

Real-time prediction of mortality, readmission, and length of stay using electronic health record data

Artificial Intelligence in Surgery: Promises and Perils

Natural Language Processing for EHR-Based Computational Phenotyping

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability

Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records

Learning statistical models of phenotypes using noisy labeled training data

Deep Learning for Intelligent Human–Computer Interaction

Temporal Classification of Medical Events

Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning

A review of approaches to identifying patient phenotype cohorts using electronic health records