A tutorial on bayesian networks for psychopathology researchers.

G Briganti, M Scutari, RJ McNally - Psychological methods, 2023 - psycnet.apa.org
Bayesian Networks are probabilistic graphical models that represent conditional
independence relationships among variables as a directed acyclic graph (DAG), where …

Lupus nephritis diagnosis using enhanced moth flame algorithm with support vector machines

M Wang, Y Liang, Z Hu, S Chen, B Shi… - Computers in Biology …, 2022 - Elsevier
Systemic lupus erythematosus is a chronic autoimmune disease that affects the kidney in
most patients. Lupus nephritis (LN) is divided into six categories by the International Society …

[Retracted] CT‐ML: Diagnosis of Breast Cancer Based on Ultrasound Images and Time‐Dependent Feature Extraction Methods Using Contourlet Transformation and …

B Hajipour Khire Masjidi, S Bahmani… - Computational …, 2022 - Wiley Online Library
Breast diseases are a group of diseases that appear in different forms. An entire group of
these diseases is breast cancer. This disease is one of the most important and common …

An efficient rotational direction heap-based optimization with orthogonal structure for medical diagnosis

W Shan, Z Qiao, AA Heidari, W Gui, H Chen… - Computers in Biology …, 2022 - Elsevier
The heap-based optimizer (HBO) is an optimization method proposed in recent years that
may face local stagnation problems and show slow convergence speed due to the lack of …

Facial emotion recognition predicts alexithymia using machine learning

N Farhoumandi, S Mollaey… - Computational …, 2021 - Wiley Online Library
Objective. Alexithymia, as a fundamental notion in the diagnosis of psychiatric disorders, is
characterized by deficits in emotional processing and, consequently, difficulties in emotion …

[HTML][HTML] Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors

M Delucchi, GR Spinner, M Scutari, P Bijlenga… - Computers in Biology …, 2022 - Elsevier
Clinical decision making regarding the treatment of unruptured intracranial aneurysms (IA)
benefits from a better understanding of the interplay of IA rupture risk factors. Probabilistic …

Using Bayesian networks to investigate psychological constructs: The case of empathy

G Briganti, J Decety, M Scutari… - Psychological …, 2024 - journals.sagepub.com
Network analysis is an emerging field for the study of psychopathology that considers
constructs as arising from the interactions among their constituents. Pairwise effects among …

[Retracted] Application of Artificial Intelligence Nuclear Medicine Automated Images Based on Deep Learning in Tumor Diagnosis

J Sun, X Yuan - Journal of Healthcare Engineering, 2022 - Wiley Online Library
In order to correctly obtain normal tissues and organs and tumor lesions, the research on
multimodal medical image segmentation based on deep learning fully automatic …

[Retracted] Observation on the Effect of Intelligent Machine‐Assisted Surgery and Perioperative Nursing

L Lei - Journal of Healthcare Engineering, 2022 - Wiley Online Library
Orthopedic surgery and care during the perioperative period are the key to the treatment of
orthopedic diseases, which can quickly and effectively treat orthopedic diseases and can …

[Retracted] Construction and Clinical Application Effect of General Surgery Patient‐Oriented Nursing Information Platform Using Cloud Computing

Y Chen, J Wang, W Gao, D Yu… - Journal of Healthcare …, 2022 - Wiley Online Library
The paper aims to build a nursing information platform (NIP) for general surgery (GS)
patients and explore its clinical application effect based on cloud computing (CC) …