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

doi:10.1016/j.ijmedinf.2025.105917

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

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

International journal of medical informatics - 1 Aug 2025

Wei Ruoqi, Buss Stephanie S, Milde Rebecca, Fernandes Marta, Sumsion Daniel, Davis Elijah, Kong Wan-Yee, Xiong Yiwen, Veltink Jet, Rao Samvrit, Westover Tara M, Petersen Lydia, Turley Niels, Singh Arjun, Das Sudeshna, Junior Valdery Moura, Ghanta Manohar, Gupta Aditya, Kim Jennifer, Lam Alice D, Stone Katie L, Mignot Emmanuel, Hwang Dennis, Trotti Lynn Marie, Clifford Gari D, Katwa Umakanth, Thomas Robert J, Mukerji Shibani, Zafar Sahar F, Westover M Brandon, Sun Haoqi

Abstract excerpt

OBJECTIVES: Unstructured and structured data in electronic health records (EHR) are a rich source of information for research and quality improvement studies. However, extracting accurate information from EHR is labor-intensive. Timely and accurate identification of patients with Alzheimer's Disease, related dementias (ADRD), or mild cognitive impairment (MCI) is critical for improving patient outcomes through...

Read the complete abstract on PubMed

Topics

Humans
Electronic Health Records
Cognitive Dysfunction

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Alzheimer Disease

Phenotype

Female

Male

Aged

Dementia

Aged, 80 and over

Source

Open in PubMed

Identifiers

PMID: 40222334
DOI: 10.1016/j.ijmedinf.2025.105917

Genes

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 24 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Automated phenotyping of mild cognitive impairment and Alzheimer's disease and related dementias using electronic health records.PMID 40222334Read ↗

Mini-mental status examination phenotyping for Alzheimer's disease patients using both structured and narrative electronic health record features.Semantic proximity Read ↗

Develop and Validate a Computable Phenotype for the Identification of Alzheimer’s Disease Patients Using Electronic Health Record DataSemantic proximity Read ↗

A retrieval-augmented generation large language model framework for accurate dementia identification from electronic health recordsSemantic proximity Read ↗

Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research.Semantic proximity Read ↗

Predicting the onset of Alzheimer’s disease and related dementia using Electronic Health Records: Findings from the Cache County Study on Memory in Aging (1995–2008)Semantic proximity Read ↗

Assigning Probable Dementia Status Using Routinely Collected Electronic Health Record Data.Semantic proximity Read ↗

Characterizing Dementia Phenotypes from Unstructured EHR Notes with Generative AI and Interpretable Machine LearningSemantic proximity Read ↗

Identifying incident dementia by applying machine learning to a very large administrative claims datasetSemantic proximity Read ↗

CD-Tron: Leveraging Large Clinical Language Model for Early Detection of Cognitive Decline from Electronic Health RecordsSemantic proximity Read ↗

Predicting Risk of Alzheimer’s Diseases and Related Dementias with AI Foundation Model on Electronic Health RecordsSemantic proximity Read ↗

Feasibility of Identifying Factors Related to Alzheimer’s Disease and Related Dementia in Real-World DataSemantic proximity Read ↗

Medication-Wide Association Study of Alzheimer’s Disease and Related Dementias: Identifying Drug Candidates from Electronic Health Records through Explainable AISemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.