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Register a new userDetecting Health Advice in Medical Research Literature
الكشف عن المشورة الصحية في أدب البحث الطبي
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غالبا ما يمنح الباحثون الصحة والطب توصيات سريرية وسياساتية لإبلاغ الممارسة الصحية وسياسة الصحة العامة. ومع ذلك، لا يوجد نظام معلومات صحي حالي يدعم الاسترجاع المباشر للمشورة الصحية. يملأ هذه الدراسة الفجوة من خلال تطوير وتحقق من صحة نموذج التنبؤ القائم على NLP لتحديد المشورة الصحية في المنشورات البحثية. نتشرحنا بإنشاء 6000 جمل مستخرج من الملخصات المنظمة في منشورات PubMed باعتبارها نصيحة قوية "أو نصيحة ضعيفة"، أو لا نصيحة "، أو طورت نموذجا يستند إلى بيرت يمكنه التنبؤ به، حيث بلغ متوسط درجة الماكرو F1 من 0.93، ما إذا كانت الجملة تعطي نصيحة قوية أو نصيحة ضعيفة أم لا. طراز التنبؤ المعمم جيدا إلى الجمل في كل من ملخصات ومناقشات المناقشة غير المنظمة، حيث تظهر المشورة الصحية عادة. كما أجرينا دراسة حالة تطبق هذا النموذج التنبؤ هذا لاسترداد مشورة صحية محددة بشأن علاجات CovID-19 من Litcovid، وهي بوابة أدب أبحاث كوفي كبير، مما يدل على فائدة أحكام المشورة الصحية كدالة تنقل أبحاث متقدم للباحثين الصحيين عامة الناس.
Health and medical researchers often give clinical and policy recommendations to inform health practice and public health policy. However, no current health information system supports the direct retrieval of health advice. This study fills the gap by developing and validating an NLP-based prediction model for identifying health advice in research publications. We annotated a corpus of 6,000 sentences extracted from structured abstracts in PubMed publications as strong advice'', weak advice'', or no advice'', and developed a BERT-based model that can predict, with a macro-averaged F1-score of 0.93, whether a sentence gives strong advice, weak advice, or not. The prediction model generalized well to sentences in both unstructured abstracts and discussion sections, where health advice normally appears. We also conducted a case study that applied this prediction model to retrieve specific health advice on COVID-19 treatments from LitCovid, a large COVID research literature portal, demonstrating the usefulness of retrieving health advice sentences as an advanced research literature navigation function for health researchers and the general public.
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