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Machine learning models for atrial fibrillation detection in primary care using electronic health records: systematic review [Cardiovascular disease]

Annals of Family Medicine

Context: Atrial fibrillation (AFib) significantly impacts patient morbidity and mortality, despite existing screening practices. Machine learning (ML) models offer potential for improved detection of AFib from electronic health records (EHR). We searched seven databases from inception to May 2023.

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Pain-Related Medication in Adults with Intellectual Disability: a systematic review [Pain management]

Annals of Family Medicine

Search strategy developed for six medical databases (2000-March 2023), key terms of ID, pain, analgesia, medication. Measures: Varied by study design; self/carer-report or electronic health records (EHR). Screening completed by two independent reviewers; conflicts resolved through consensus. Narrative synthesis of findings.

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Sweet! A Metabolic Disorders focused podcast episode

PEMBlog

She is a member of the Clinical Genome Resource Inborn Errors of Metabolism (IEM) Clinical Domain Working Group, where as a biocurator she assesses the pathogenicity of variants in IEM-associated genes to facilitate expedited genetic diagnosis for IEMs. Updated 2023 Jul 17]. Inborn errors of metabolism in infancy: a guide to diagnosis.