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 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

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

Software Credentialed Access

Philosopher's Stone

Wolfgang Ganglberger, Haoqi Sun, Niels Turley, Ayush Tripathi, Peter Hadar, Kaileigh Gallagher, Ryan Tesh, Soriul Kim, Samaneh Nasiri, Yue Leng, Stephanie Harrison, Katie Stone, Timothy Hughes, Susan Redline, Rhoda Au, Dara S. Manoach, Hans-Peter Landolt, Reto Huber, Emmanuel Mignot, Chol Shin, Sydney Cash, Robert Thomas, M Brandon Westover

Initial version

brain health artificial intelligence machine learning sleep

Published: Nov. 26, 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

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

Database Credentialed Access

Automated phenotyping of mild cognitive impairment and dementias using electronic health records - Data and Code

Ruoqi Wei, Robert Thomas, M Brandon Westover, Haoqi Sun

Data and Code to reproduce results in "Automated phenotyping of mild cognitive impairment and dementias using electronic health records"

nlp ad mci

Published: June 5, 2025. Version: 1.0

Database Open Access

Assessing Risk of Health Outcomes From Brain Activity in Sleep

Haoqi Sun, Noor Adra, Muhammad Ayub, Wolfgang Ganglberger, Elissa Ye, Ziwei Fan, Aditya Gupta, Valdery Moura Junior, M Brandon Westover, Robert Thomas

Using sleep EEG to predict future health outcomes.

Published: Oct. 30, 2025. Version: 1.1

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 Credentialed Access

The Human Sleep Project

Qichen Li, Shenghan Wen, Haoqi Sun, Wolfgang Ganglberger, Ayush Tripathi, Niels Turley, Samuel Waters, Arnav Gupta, Aditya Gupta, Manohar Ghanta, Bruce Nearing, Han Wu, Katie L. Stone, Chad Robichaux, Zhiyong Zhang, Qiao Li, Gauri Ganjoo, Christine Tsien Silvers, Bharath Gunapati, Kiran Maski, Samaneh Nasiri, Dennis Hwang, Lynn Marie Trotti, Umakanth Katwa, Gari D. Clifford, Emmanuel Mignot, Robert J. Thomas, M. Brandon Westover

Multi-center clinical polysomnography dataset of 119,234 sleep recordings from 90,166 patients across five U.S. sites spanning the human lifespan, with manual + CAISR automated annotations, per-session quality grades, and 22-category ICD-10 linkage.

Published: June 2, 2026. Version: 3.0