Joanna Abraham

The foundational capabilities of large language models in predicting postoperative risks using clinical notes

2025 · 21 Zit. · npj Digital Medicine

User-Centered Design of a Machine Learning Dashboard for Prediction of Postoperative Complications

2023 · 12 Zit. · Anesthesia & Analgesia

Perioperative Predictions with Interpretable Latent Representation

2022 · 7 Zit. · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

A novel generative multi-task representation learning approach for predicting postoperative complications in cardiac surgery patients

2024 · 5 Zit. · Journal of the American Medical Informatics Association

Perception, Attitude, and Readiness in Artificial Intelligence Adoption among Academic Librarians in the Bicol Region Librarians Council (BRLC)

2025 · 3 Zit.

Just another tool in their repertoire: uncovering insights into public and patient perspectives on clinicians’ use of machine learning in perioperative care

2024 · 3 Zit. · Journal of the American Medical Informatics Association

The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes

2024 · 0 Zit. · arXiv (Cornell University)