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2009.06629
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An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus
14 September 2020
M. Athanasiou
Konstantina Sfrintzeri
K. Zarkogianni
Anastasia C. Thanopoulou
K. Nikita
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Papers citing
"An explainable XGBoost-based approach towards assessing the risk of cardiovascular disease in patients with Type 2 Diabetes Mellitus"
5 / 5 papers shown
Title
Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework
Theofanis Ganitidis
M. Athanasiou
Konstantinos Mitsis
K. Zarkogianni
Konstantina S. Nikita
91
0
0
28 Sep 2024
Explainable LightGBM Approach for Predicting Myocardial Infarction Mortality
Ana Letícia Garcez Vicente
Roseval Malaquias Junior
R. Romero
38
2
0
23 Apr 2024
Cross-lingual Dysarthria Severity Classification for English, Korean, and Tamil
Eunjung Yeo
Kwanghee Choi
Sunhee Kim
Minhwa Chung
51
8
0
26 Sep 2022
Machine Learning Method for Functional Assessment of Retinal Models
N. Papadopoulos
Nikos Melanitis
Antonio Lozano
C. Soto-Sánchez
E. Fernández
K. Nikita
19
5
0
05 Feb 2022
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis
P. Karatza
K. Dalakleidi
M. Athanasiou
K. Nikita
26
17
0
04 Feb 2022
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