Results 241 to 250 of about 213,693 (303)

Dissecting Glioma Heterogeneity: A Deep Hybrid Graph Convolutional Network With Hinge Attention for Causal‐Effect Explainability

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Brain tumour classification is a critical task in medical imaging that requires accurate and interpretable solutions to assist in clinical decision‐making. In this paper, we present GraphConvNet‐X, a novel hybrid model that integrates convolutional neural networks (CNNs) for spatial feature extraction with graph neural networks (GNNs) that ...
Sultanul Arifeen Hamim, Mubasshar U. I. Tamim, S. M. Hasan Mahmud, M. F. Mridha, Zeyar Aung   +4 more
wiley   +1 more source

Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms. [PDF]

PLOS Digit Health
Wang JD.
europepmc   +1 more source

A Validation Method for the Enhanced Fuzzy Min‐Max Neural Network With Application to Heart Disease Data Classification

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This study investigates early detection of heart diseases using a new Enhanced Fuzzy Min‐Max (EFMM) neural network. Two key modifications are introduced: a refined EFMM contraction procedure during the learning phase to reduce data distortion and information loss, and a new weighted validation method to optimise hyperbox selection and improve ...
Mohammed Falah Mohammed, Osama Nayel Al Sayaydeh, Taha H. Rassem, Chee Peng Lim   +3 more
wiley   +1 more source

A novel naïve Bayes approach to identifying grooming behaviors in the force-plate actometric platform. [PDF]

J Neurosci Methods
Anderson CJ, Cadeddu R, Anderson DN, Huxford JA, VanLuik ER, Odeh K, Pittenger C, Pulst SM, Bortolato M.   +8 more
europepmc   +1 more source

Classification of Broadband Oscillations Using Wavelet Convolution and Multi‐Channel Attention Network

Energy Internet, EarlyView.
ABSTRACT Accurate identification of broadband oscillation types is a prerequisite for implementing appropriate control strategies. The strongly nonlinear, nonstationary and multi‐modal characteristics of broadband oscillation signals impose higher demands on identification methods. Practical applications face challenges such as coupling effects between
Jinduo Yang, Ji Li, Yiyan Li, Yang Gao, Qingyuan Zhang, Yang Kou, Xiao Hu, WeiLe Liang   +7 more
wiley   +1 more source

Assessment of the organizational factors in incident management practices in healthcare: A tree augmented Naive Bayes model. [PDF]

PLoS One
Albreiki S, Simsekler MCE, Qazi A, Bouabid A.   +3 more
europepmc   +1 more source

Predicting students' academic progress and related attributes in first-year medical students: an analysis with artificial neural networks and Naïve Bayes. [PDF]

BMC Med Educ
Monteverde-Suárez D, González-Flores P, Santos-Solórzano R, García-Minjares M, Zavala-Sierra I, de la Luz VL, Sánchez-Mendiola M.   +6 more
europepmc   +1 more source

Application of Internet of Things and Naive Bayes in Public Health Environmental Management of Government Institutions in China.

J Healthc Eng, 2021
Zhang Z, Zhang S.
europepmc   +1 more source

Patient Safety and Organisational Accountability: Reassessing Criminal Liability Frameworks in Healthcare

The Modern Law Review, EarlyView.
Serious harm in healthcare often results from systemic failures, yet criminal accountability remains largely addressed through homicide law, gross negligence manslaughter and health‐and‐safety offences, frameworks that emphasise individual culpability and are ill‐suited to addressing organisational failings.
Sarah Bennett, Amel Alghrani
wiley   +1 more source