⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

April 9, 2024Neurology

A Machine Learning Approach for Identifying People with Neuroinfectious Diseases in Electronic Health Records (P2-13.001)

Arjun Singh Marta Fernandes Haoqi Sun Carson Quinn George Harrold Rebecca L. Gillani Sarah E. Turbett Sudeshna Das M. Brandon Westover Shibani S. Mukerji

View Full Paper

Ask AI

Bookmark

Share

Abstract

To develop an Automated Electronic Health Record (EHR) Phenotyping (AEP) model using machine learning (ML), to enhance neuroinfectious disease (NID) cohort selection.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Singh et al. (2024) studied this question.

synapsesocial.com/papers/68e6fdb8b6db64358767830a https://doi.org/10.1212/wnl.0000000000204782

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1A Machine Learning Approach for Identifying People with Neuroinfectious Diseases in Electronic Health Records: Original Research Article (Preprint)2024
2Identification of patients with epilepsy using automated electronic health records phenotypingOriginal Research · 2023 · 20 citations
3Machine learning approaches for electronic health records phenotyping: a methodical reviewReview · 2022 · 144 citations
4Disease Diagnosis Using Machine Learning on Electronic Health Records2024 · 19 citations
5Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning ModelsReview · 2018 · 221 citations