Main study: SHAP summary plots for XGB model.

<p>The bar plot on the left illustrates the global feature importance ranked by the sum of SHAP values across all samples. On the right is the Beeswarm plot detailing the individual SHAP values for each feature and their impact on the model’s output.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Rajeev Bopche (20208606) (author)
مؤلفون آخرون:	Lise Tuset Gustad (13479160) (author), Jan Egil Afset (11091667) (author), Birgitta Ehrnström (6758906) (author), Jan Kristian Damås (11091670) (author), Øystein Nytrø (4411675) (author)
منشور في:	2024
الموضوعات:	Medicine Cancer Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified demonstrating superior specificity time clinical data optimize resource allocation framework integrates demographic risk bsi groups including resource clinical decision bsi prediction valuable tool study presents rapid progression providing interpretability olavs hospital model allows limited environments hospital systems encompassing 35 ehrs ). early prediction early intervention classify patients based algorithms avoiding reliance approach promises 591 patients
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Main study: SHAP summary plots for XGB model.

مواد مشابهة