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Profil bibliographique

Zhengxian Fan

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

3Publications signalées
6Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Atrial Fibrillation Management and OutcomesParkinson's Disease Mechanisms and TreatmentsStatistical Methods and Bayesian InferenceGenetic Associations and EpidemiologyHealth Systems, Economic Evaluations, Quality of Life

Les publications récentes

Accès ouvert 2026 article OpenAlex

Evaluating bias in target trial emulation for heart failure across statistical and deep learning methods

Zhengxian Fan, Qianqian Yang, Yu Hu, Goodarz Danaei et autres

Target trial emulation (TTE) is increasingly used for causal inference from observational data, but remains vulnerable to confounding by indication, and whether advanced adjustment methods mitigate this bias is unclear. Using Clinical Practice Research Datalink Aurum, we emulate target trials of beta-blockers …

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2 citations Nature Communications
2026 preprint OpenAlex

AI-driven selection of patients with non-valvular atrial fibrillation for oral anticoagulation therapy: a multi-cohort validation and impact evaluation study

Shishir Rao, Marjan Walli-Attaei, Nouman Ahmed, Zhengxian Fan et autres

Abstract Background Current risk assessment tools for guiding direct oral anticoagulant (DOAC) therapy for patients with atrial fibrillation (AF) based on clinical risk factors demonstrate modest predictive performance limiting clinical impact. Additionally, while guidelines recommend periodic reassessment of risk over time, there …

gb (code pays fourni par la source)

0 citations medRxiv
Accès ouvert 2026 article OpenAlex

Subtyping Alzheimer’s disease and Parkinson’s disease using longitudinal electronic health records

Jie Lian, Zhengxian Fan, Ben Omega Petrazzini, Wei Fan et autres

Neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD) are clinically heterogeneous, hampering the success of nonselective treatment strategies. Here we apply a transformer-based unsupervised clustering framework to longitudinal electronic health record data from over 100,000 patients across two UK …

gb (code pays fourni par la source)

4 citations Nature Aging

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