High-throughput target trial emulation for Alzheimer's disease drug repurposing with real-world data

C Zang, H Zhang, J Xu, H Zhang, S Fouladvand… - Nature …, 2023 - nature.com
Target trial emulation is the process of mimicking target randomized trials using real-world
data, where effective confounding control for unbiased treatment effect estimation remains a …

Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research

AM Walling, J Pevnick, AV Bennett… - Journal of the …, 2023 - academic.oup.com
Objective We performed a scoping review of algorithms using electronic health record (EHR)
data to identify patients with Alzheimer's disease and related dementias (ADRD), to advance …

Leveraging electronic health records to construct a phenotype for hypertension surveillance in the United States

S He, S Park, E Kuklina, NL Therrien… - American journal of …, 2023 - academic.oup.com
BACKGROUND Hypertension is an important risk factor for cardiovascular diseases.
Electronic health records (EHRs) may augment chronic disease surveillance. We aimed to …

[HTML][HTML] Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review

A Grothman, WJ Ma, KG Tickner… - JMIR Medical …, 2024 - medinform.jmir.org
Background Electronic medical records (EMRs) contain large amounts of detailed clinical
information. Using medical record review to identify conditions within large quantities of …

Hypertension identification using inpatient clinical notes from electronic medical records: an explainable, data-driven algorithm study

EA Martin, AG D'Souza, S Lee, C Doktorchik… - … Open Access Journal, 2023 - cmajopen.ca
Background: Case identification is important for health services research, measuring health
system performance and risk adjustment, but existing methods based on manual chart …

Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical …

T Petit-Jean, C Gérardin, E Berthelot… - Journal of the …, 2024 - academic.oup.com
Objective To develop and validate a natural language processing (NLP) pipeline that
detects 18 conditions in French clinical notes, including 16 comorbidities of the Charlson …

High-throughput clinical trial emulation with real world data and machine learning: a case study of drug repurposing for Alzheimer's disease

C Zang, H Zhang, J Xu, H Zhang, S Fouladvand… - medRxiv, 2022 - medrxiv.org
Clinical trial emulation, which is the process of mimicking targeted randomized controlled
trials (RCT) with real-world data (RWD), has attracted growing attention and interest in …

Prevalence and Diagnosis of PCOS Using Electronic Health Records: A Scoping Review and a Database Analysis

W Atiomo, MNH Rizwan, MH Bajwa… - International Journal of …, 2024 - mdpi.com
Polycystic ovary syndrome (PCOS) is the most common endocrine disorder affecting women
of reproductive age. It increases the risk of type 2 diabetes, cardiovascular disease …

Recent progress in artificial intelligence and machine learning for novel diabetes mellitus medications development

Q Guo, B Fu, Y Tian, S Xu, X Meng - Current Medical Research …, 2024 - Taylor & Francis
Diabetes mellitus, stemming from either insulin resistance or inadequate insulin secretion,
represents a complex ailment that results in prolonged hyperglycemia and severe …

[HTML][HTML] Pan-Canadian Electronic Medical Record Diagnostic and Unstructured Text Data for Capturing PTSD: Retrospective Observational Study

L Kosowan, A Singer, F Zulkernine… - JMIR Medical …, 2022 - medinform.jmir.org
Background The availability of electronic medical record (EMR) free-text data for research
varies. However, access to short diagnostic text fields is more widely available. Objective …