Resources


Model Credentialed Access

Automated Prediction of Glasgow Coma Scale Scores from Unstructured Electronic Health Records: a Natural Language Processing Approach

Marta Fernandes, Niels Turley, Haoqi Sun, Shibani Mukerji, Lidia M. V. R. Moura, M Brandon Westover, Sahar Zafar

Prediction of Glasgow Coma Scale scores from Unstructured Electronic Health Records using NLP

glasgow coma scale natural language processing ordinal regression electronic health records clinical notes

Published: April 17, 2026. Version: 1.0.0

Database Credentialed Access

Association of Sleep Electroencephalography-Based Brain Age Index With Dementia - Data and code

Elissa Ye, Haoqi Sun, Michael Leone, Luis Paixao, Robert Thomas, Alice Lam, M Brandon Westover

De-identified polysomnography dataset and analysis code from Ye et al. 2020 (JAMA Netw Open): sleep-EEG-based Brain Age Index (BAI) computed across 9,834 MGH Sleep Lab PSGs and tested as a biomarker for dementia and MCI versus healthy controls.

machine learning biomarker sleep mild cognitive impairment polysomnography dementia eeg brain age

Published: April 25, 2026. Version: 1.0.0

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 modified rankin scale machine learning

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 Open Access

NIDX: A Machine Learning Approach for Identifying People with Neuroinfectious Diseases in Electronic Health Records

Arjun Singh, Shadi Sartipi, Haoqi Sun, Niels Turley, Sahar Zafar, Sudeshna Das, Marta Fernandes, M Brandon Westover, Shibani Mukerji

A machine learning approach to accurately identify neuroinfectious diseases from clinical notes.

natural language processing electronic health records ehr phenotyping neuroinfectious diseases

Published: May 31, 2025. Version: 1.0

Database Credentialed Access

PRediction Of Disease PHEnoTypes (PROPHET)

Niels Turley, Marta Fernandes, Shadi Sartipi, Han Wu, Alice Lam, Lydia Petersen, Catherine Clive, Daniel Sumsion, Ruoqi Wei, Bram Overmeer, Jaden Searle, Gregory Hooke, Spencer Boris, Wan-Yee Kong, Arjun Singh, Marjan Sarami, Alihan Yaramis, Imad Akbar, Rebecca Milde, Jet Veltink, Elijah Davis, Aditya Gupta, Manohar Ghanta, Aidan McDonald Wojciechowski, Shibani Mukerji, Haoqi Sun, M Brandon Westover, Sahar Zafar

Multicenter expert-annotated EHR dataset and NLP phenotyping framework for 17 neurological conditions spanning diagnoses, severity scales, and outcomes across six U.S. health systems.

Published: March 31, 2026. Version: 1.0