Functional Outcome Prediction of Operated Proximal Humerus Fractures by Means of Artificial Neural Networks

被引：1

作者：

Hristov, Stoyan ^{[1
]}

Baltov, Asen ^{[2
]}

Sotirov, Sotir ^{[3
]}

机构：

[1] Univ Hosp Act Treatment, Dept Orthoped & Traumatol, 73 Stefan Stambolov, Burgas 8000, Bulgaria

[2] Univ Multiprofile Hosp Act Treatment & Emergency, 21 Totleben Str, Sofia 1606, Bulgaria

[3] Burgas Asen Zlatarov Univ, 1 Y Yakimov Str, Burgas 8010, Bulgaria

来源：

CONTEMPORARY METHODS IN BIOINFORMATICS AND BIOMEDICINE AND THEIR APPLICATIONS | 2022年 / 374卷

关键词：

Neural network; Proximal humerus fractures; IMPLEMENTATION;

D O I：

10.1007/978-3-030-96638-6_23

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The goal of our presentation is to predict functional outcome of operated Proximal Humeral Fractures by means of Artificial Neural Networks, so that we can compare anticipated results to real results recorded during scheduled follow-ups. We get the chance to assess above-mentioned method's reliability as a proper tool in our daily practice and to analyze it in details in order to improve it.

引用

页码：210 / 215

页数：6

共 11 条

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