首页|Predicting a diagnosis of ankylosing spondylitis using primary care health records – a machine learning approach

Predicting a diagnosis of ankylosing spondylitis using primary care health records – a machine learning approach

Choy Ernest Brophy Sinead Kennedy Natasha Kennedy Jonathan Cooksey Roxanne Siebert Stefan Rahman Muhammad

DOI：10.1101/2021.04.22.21255659

来源：

medRxiv

Predicting a diagnosis of ankylosing spondylitis using primary care health records – a machine learning approach

Choy Ernest ¹Brophy Sinead ²Kennedy Natasha ²Kennedy Jonathan ²Cooksey Roxanne ²Siebert Stefan ³Rahman Muhammad²

作者信息

1. CREATE Centre, Section of Rheumatology, Division of Infection and Immunity, School of Medicine, Cardiff University
2. Data Science Building, Swansea University
3. Institute of Infection Immunity & Inflammation, University of Glasgow
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Key words

Ankylosing spondylitis/machine learning/predicting diagnosis/statistical analysis

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Choy Ernest,Brophy Sinead,Kennedy Natasha,Kennedy Jonathan,Cooksey Roxanne,Siebert Stefan,Rahman Muhammad.Predicting a diagnosis of ankylosing spondylitis using primary care health records – a machine learning approach[EB/OL].(2025-03-28)[2025-12-13].https://www.medrxiv.org/content/10.1101/2021.04.22.21255659.

学科分类

医学研究方法/内科学

首发时间： 2025-03-28

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Predicting a diagnosis of ankylosing spondylitis using primary care health records – a machine learning approach

Predicting a diagnosis of ankylosing spondylitis using primary care health records – a machine learning approach

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