External cohort raw data.

<div><p>Background</p><p>The basal septal hypertrophy(BSH) is an often under-recognized morphological change in the left ventricle. This is a common echocardiographic finding with a prevalence of approximately 7–20%, which may indicate early structural and functional remodeli...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Lei Gao (6566) (author)
مؤلفون آخرون:	Boyan Tian (21627172) (author), Qiqi Jia (11900763) (author), Xingyu He (3874243) (author), Guannan Zhao (618195) (author), Yueheng Wang (13908540) (author)
منشور في:	2025
الموضوعات:	Biotechnology Developmental Biology Plant Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified shapley additive explanation recognized morphological change nearest neighbor classification mitral valve peak interpretable machine learning first central hospital common echocardiographic finding capturing nonlinear relationships 947 &# 8211 93 &# 8211 831 &# 8211 764 &# 8211 023 &# 8211 021 &# 8211 018 &# 8211 basal septal hypertrophy 998 ), 0 949 ), 1 888 ), 1 403 ), 1 064 ), 0 052 ), 0 xlink "> however xlink "> echocardiographic ao angle identified ao angle emerging relevant variable ivs machine learning algorithms effectively predict bsh decision curve analysis sd ), glu dt ), k dbp ), distance 987 ), respectively rf model yielded xlink "> ao angle 281 ), basal segment knn ), yet efficient traditional algorithms top four test sets test set tavi ). significant cause roc curve rf model random forest
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External cohort raw data.

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