Vesela P Kovacheva

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Trauma Patients

Antiplatelet Therapy

Machine Learning

Top Venues

medRxiv : the preprint server for health sciences

Current anesthesiology reports

Journal of anesthesia

Journal of the American Medical Informatics Association : JAMIA

This page only lists publications with an associated author ORCID identifier.

Publications

Braden W Eberhard, Kathryn J Gray Guseh, David Westfall Bates, Vesela P Kovacheva
Deep Survival Analysis for Interpretable Time-Varying Prediction of Preeclampsia Risk. medRxiv : the preprint server for health sciences (2024)
Braden W Eberhard, Kathryn J Gray Guseh, David Westfall Bates, Vesela P Kovacheva
Deep Survival Analysis for Interpretable Time-Varying Prediction of Preeclampsia Risk. medRxiv : the preprint server for health sciences (2024)
Braden W Eberhard, Kathryn J Gray Guseh, David Westfall Bates, Vesela P Kovacheva
Deep Survival Analysis for Interpretable Time-Varying Prediction of Preeclampsia Risk. medRxiv : the preprint server for health sciences (2024)
Braden W Eberhard, Kathryn J Gray Guseh, David Westfall Bates, Vesela P Kovacheva
Deep Survival Analysis for Interpretable Time-Varying Prediction of Preeclampsia Risk. medRxiv : the preprint server for health sciences (2024)
Sherwin C Davoud, Vesela P Kovacheva
On the Horizon: Specific Applications of Automation and Artificial Intelligence in Anesthesiology. Current anesthesiology reports 13 (2) (2023)
Vesela P Kovacheva, Braden W Eberhard, Raphael Y Cohen, Matthew Maher, Richa Saxena, Kathryn J Gray
Prediction of Preeclampsia from Clinical and Genetic Risk Factors in Early and Late Pregnancy Using Machine Learning and Polygenic Risk Scores. medRxiv : the preprint server for health sciences (2023)
Braden W Eberhard, Raphael Y Cohen, John Rigoni, David Westfall Bates, Kathryn J Gray Guseh, Vesela P Kovacheva
An Interpretable Longitudinal Preeclampsia Risk Prediction Using Machine Learning. medRxiv : the preprint server for health sciences (2023)
Emily Alsentzer, Matthew J Rasmussen, Romy Fontoura, Alexis L Cull, Brett K Beaulieu-Jones, Kathryn J Gray Guseh, David Westfall Bates, Vesela P Kovacheva
Zero-shot Interpretable Phenotyping of Postpartum Hemorrhage Using Large Language Models. medRxiv : the preprint server for health sciences (2023)
Vesela P Kovacheva, Braden W Eberhard, Raphael Y Cohen, Matthew Maher, Richa Saxena, Kathryn J Gray Guseh
Preeclampsia Prediction Using Machine Learning and Polygenic Risk Scores From Clinical and Genetic Risk Factors in Early and Late Pregnancies. Hypertension (Dallas, Tex. : 1979) (2023)
Emily Alsentzer, Matthew J Rasmussen, Romy Fontoura, Alexis L Cull, Brett Beaulieu-Jones, Kathryn J Gray Guseh, David Westfall Bates, Vesela P Kovacheva
Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models. NPJ digital medicine 6 (1) (2023)
Sherwin C Davoud, Vesela P Kovacheva
On the Horizon: Specific Applications of Automation and Artificial Intelligence in Anesthesiology. Current anesthesiology reports 13 (2) (2023)
Yun-Yun K Chen, Mieke A Soens, Vesela P Kovacheva
Less stress, better success: a scoping review on the effects of anxiety on anesthetic and analgesic consumption. Journal of anesthesia 36 (4) (2022)
William Armero, Kathryn J Gray, Kara G Fields, Naida M Cole, David Westfall Bates, Vesela P Kovacheva
A survey of pregnant patients' perspectives on the implementation of artificial intelligence in clinical care. Journal of the American Medical Informatics Association : JAMIA (2022)