Resources


Model Credentialed Access

Automated extraction of post-stroke functional outcomes from unstructured electronic health records

Marta Fernandes, Kaileigh Gallagher, Niels Turley, Aditya Gupta, M Brandon Westover, Aneesh Singhal, Sahar Zafar

This project aims to automatically extract mRS scores for a post-stroke patient population from unstructured electronic health records using natural language processing

stroke natural language processing machine learning modified rankin scale

Published: Oct. 2, 2025. Version: 1.0.0

Model Credentialed Access

Automated extraction of stroke severity from unstructured electronic health records using natural language processing

Marta Fernandes, M Brandon Westover, Aneesh Singhal, Sahar Zafar

This project automatically extracts NIHSS scores from unstructured electronic health records using natural language processing

nihss nlp stroke

Published: Oct. 2, 2025. Version: 1.0.0

Database Credentialed Access

The Brain Imaging and Neurophysiology Database (BIND)

Charlotte Maschke, Peter Hadar, Yicheng Zhang, Jian Li, Gauri Ganjoo, Andrew Hoopes, Alessandro Guazzo, Aditya Gupta, Manohar Ghanta, Bruce Nearing, Christine Tsien Silvers, Bharath Gunapati, Robert Thomas, Jennifer Kim, Shibani Mukerji, Adrian Dalca, Sahar Zafar, Alice Lam, Emmanuel Mignot, M Brandon Westover

BIND Database 1: Neuroimaging Data (MRI, CT, PET, SPECT) that can be paired with EEG and PSG (found in the Harvard EEG Database https://bdsp.io/content/harvard-eeg-db/4.1/). LLMs helped categorize pathology.

ct mri brain imaging

Published: Sept. 9, 2025. Version: 1.0

Database Credentialed Access

Identification of patients with epilepsy using automated electronic health records phenotyping - Data and Code

Marta Fernandes, Sahar Zafar, M Brandon Westover

Code and data for identifying patients with epilepsy using automated electronic health records.

nlp ehr epilepsy

Published: June 5, 2025. Version: 1.0

Model Open Access

Automated phenotyping of mild cognitive impairment and Alzheimer's disease and related dementias using electronic health records

Ruoqi Wei, Niels Turley, Aditya Gupta, Manohar Ghanta, Robert Thomas, Sahar Zafar, Haoqi Sun, M Brandon Westover

a MCI/ADRD EHR phenotyping model trained with python sklearn pipeline, injoblib format.

Published: Sept. 25, 2025. Version: 1.1

Database Open Access

VE-CAM-S: Visual EEG-Based Grading of Delirium Severity and Associations with Clinical Outcomes

Ryan Tesh, Haoqi Sun, Jin Jing, Mike Westmeijer, Anudeepthi Neelagiri, Subapriya Rajan, Parimala Velpula Krishnamurthy, Pooja Sikka, Syed Quadri, Michael Leone, Luis Paixao, Ezhil Panneerselvam, Christine Eckhardt, Aaron F Struck, Peter Kaplan, Oluwaseun Akeju, Daniel Jones, Eyal Kimchi, M Brandon Westover

This dataset supports a published prospective cohort study using machine learning to develop the Visual EEG Confusion Assessment Method Severity (VE-CAM-S) scale for quantifying delirium and coma severity.

Published: Jan. 5, 2024. Version: 1.0

Database Restricted Access

I-CARE: International Cardiac Arrest REsearch consortium Electroencephalography Database

Edilberto Amorim, Wei-Long Zheng, Mohammad Ghassemi, Mahsa Aghaeeaval, Pravinkumar Kandhare, Vishnu Karukonda, Jong Woo Lee, Susan Herman, adithya sivaraju, Nicolas Gaspard, Jeannette Hofmeijer, Michel JAM van Putten, Reza Sameni, Matthew Reyna, Gari Clifford, M Brandon Westover

Multicenter clinical and EEG Database including patients who were comatose after cardiac arrest. This database includes 1,020 patients and more than 50,000 hours of continuous EEG from 7 hospitals in the U.S. and Europe.

Published: Oct. 11, 2023. Version: 1.0