Machine learning models for predicting adverse pregnancy outcomes in pregnant women with systemic lupus erythematosus
X Hao, D Zheng, M Khan, L Wang, T Hämäläinen… - Diagnostics, 2023 - mdpi.com
Predicting adverse outcomes is essential for pregnant women with systemic lupus
erythematosus (SLE) to minimize risks. Applying statistical analysis may be limited for the …
erythematosus (SLE) to minimize risks. Applying statistical analysis may be limited for the …
An adaptive classification model for predicting epileptic seizures using cloud computing service architecture
HK Fatlawi, A Kiss - Applied Sciences, 2022 - mdpi.com
Data science techniques have increasing importance in medical data analysis, including
detecting and predicting the probability of contracting a disease. A large amount of medical …
detecting and predicting the probability of contracting a disease. A large amount of medical …
[PDF][PDF] Hybrid Federated Learning for Stream Classification with Concept Drift
HK Fatlawia, A Kissa - icai.uni-eszterhazy.hu
Federated learning aims to decentralize the learning process of a machine learning
technique using many edge devices [5]. In this mechanism, the classifier is built based on …
technique using many edge devices [5]. In this mechanism, the classifier is built based on …