Resources


Database Credentialed Access

Dementia detection from brain activity during sleep - data and code

Elissa Ye, Haoqi Sun, Wolfgang Ganglberger, Robert Thomas, Alice Lam, M Brandon Westover

Code and curated polysomnography dataset (10,784 PSGs from 8,044 patients, MGB Sleep Lab 2009-2019) used in Ye et al. 2023 (Sleep) to detect dementia and MCI from sleep EEG features.

machine learning biomarker sleep mild cognitive impairment polysomnography dementia eeg

Published: April 25, 2026. Version: 1.0.0

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

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

Database Credentialed Access

Narcolepsy Risk Estimation from Clinical Notes

Niels Turley, Haoqi Sun, M Brandon Westover

Dataset and code for developing and validating machine learning models to phenotype narcolepsy type 1 (NT1) and narcolepsy type 2/idiopathic hypersomnia (NT2/IH) from multi-site electronic health record data, including cross-sectional classification

Published: March 2, 2026. 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