[HTML][HTML] Breast cancer diagnosis using the fast learning network algorithm
The use of machine learning (ML) and data mining algorithms in the diagnosis of breast
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …
cancer (BC) has recently received a lot of attention. The majority of these efforts, however …
Lax-net: Freezing of Gait Detection in Parkinson's Disease Using LSTM with Attention and XGBoost
Parkinson's disease (PD) is a neurodegenerative disorder marked by motor symptoms like
gait freezing (FoG), which notably affects patients' mobility and overall quality of life. Early …
gait freezing (FoG), which notably affects patients' mobility and overall quality of life. Early …
Study of Methods for Constructing Intelligent Learning Models Supported by Artificial Intelligence
L Pan - EAI Endorsed Transactions on Scalable Information …, 2024 - eudl.eu
INTRODUCTION: As the essential part of intelligent learning, innovative learning model
construction is conducive to improving the quality of intelligent new teaching models, thus …
construction is conducive to improving the quality of intelligent new teaching models, thus …
[PDF][PDF] A predictive analysis approach for the detection of risk factors in complex diseases
B MOKHTAR-ANNABA - 2023 - biblio.univ-annaba.dz
In this chapter, we present ML applications to NDDs spectrum with the aim of providing
interested researchers of the state-of-the art. We show how clinical features are …
interested researchers of the state-of-the art. We show how clinical features are …