Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study (vol 11, 1285067, 2024)

被引：0

作者：

Yilmaz, Rustem ^{[1
]}

Yagin, Fatma Hilal ^{[2
]}

Colak, Cemil ^{[2
]}

Toprak, Kenan ^{[3
]}

Samee, Nagwan Abdel ^{[4
]}

Mahmoud, Noha F. ^{[5
]}

Alshahrani, Amnah Ali ^{[6
]}

机构：

[1] Samsun Univ, Samsun Training & Res Hosp, Fac Med, Dept Cardiol, Samsun, Turkiye

[2] Inonu Univ, Fac Med, Dept Biostat & Med Informat, Malatya, Turkiye

[3] Harran Univ, Fac Med, Dept Cardiol, Sanliurfa, Turkiye

[4] Princess Nourah bint Abdulrahman Univ, Coll Comp & Informat Sci, Dept Informat Technol, Riyadh, Saudi Arabia

[5] Princess Nourah bint Abdulrahman Univ, Hlth & Rehabil Sci Coll, Dept Rehabil Sci, Riyadh, Saudi Arabia

[6] Princess Nourah bint Abdulrahman Univ, Appl Coll, Dept Comp Sci, Riyadh, Saudi Arabia

来源：

关键词：

acute heart failure; XGBoost; explainable artificial intelligence; SHAP; hematological parameters;

D O I：

10.3389/fmed.2024.1431299

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

引用

页数：2