Results 171 to 180 of about 212,260 (313)

Application of Artificial Intelligence in the Diagnosis, Prediction, and Management of Metabolic Syndrome: A Systematic Review. [PDF]

Health Sci Rep
Esmailzadeh A, Norouzkhani N, Sezavar Dokhtfaroughi S, Rasoulian A, Mazaheri Habibi MR.   +4 more
europepmc   +1 more source

Frequency‐ and Network‐Specific Changes in Functional Connectivity Reflect Pathophysiological Mechanisms across Parkinson's Disease Stages

Annals of Neurology, EarlyView.
Objective Parkinson's disease (PD) is increasingly conceptualized as a disorder of large‐scale brain networks, yet whether and how frequency‐specific functional connectivity reorganizes across stages remains poorly understood. In this study, we used high‐density electroencephalography (EEG) to characterize cortico‐cortical functional connectivity ...
Matteo Conti, Valentina D'Onofrio, Luca Lorenzon, Laura Ludovica Grassi, Davide Mascioli, Valerio Ferrari, Clara Simonetta, Sofia Pavan, Francesca Di Giuliano, Mariangela Pierantozzi, Tommaso Schirinzi, Diego Centonze, Maurizio Corbetta, Angelo Antonini, Alessandro Stefani, Andrea Guerra   +15 more
wiley   +1 more source

A new boosting multi-class SVM algorithm

, 2013
Support Vector Machines (SVM) have originally designed for binary classification problems. However, Multi-class SVMs (MCSVM) are implemented by combining several binary SVMs.
Chamasemani, Fereshteh Falah, Prasad Singh, Yashwant   +1 more
core  

Data-driven fuzzy information granulation for predicting freight volume trends. [PDF]

PLoS One
Gao Y, Wang X, Niu M, Li J, Cai L, Li R.
europepmc   +1 more source

Research on Diaphragm Pump Fault Diagnosis Method Based on Res‐DCB‐Net

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Nonstationary pressure pulsation signals of diaphragm pumps contain strong background noise and coupled characteristics. This makes it challenging to extract incipient fault features and to decouple faults with similar physical mechanisms. To address these limitations, this paper proposes a spatiotemporal fault diagnosis model named Res‐DCB ...
Jiahui Wang, Kaili Zhang, Yongxing Song, Zhaoxin Ma, Sitong Guan, Rongwang Chai, Kexiang Ceng, Jingting Liu   +7 more
wiley   +1 more source

Evaluating ensemble learning approaches for horizontal gene transfer detection. [PDF]

Sci Rep
Wijaya AJ, Anžel A, Hattab G.
europepmc   +1 more source

A Metabolomic Signature Predicts Gout Flare Clinical Outcome Associated With Colchicine Prophylaxis

Arthritis &Rheumatology, EarlyView.
Objective This study investigated that serum metabolomics, before urate‐lowering therapy (ULT) initiation, could serve as a biomarker for responsiveness to colchicine prophylaxis in patients with gout commencing treat‐to‐target ULT. Methods We studied a multicenter prospective cohort (n = 409) initiating treat‐to‐target ULT plus colchicine prophylaxis.
Wenyan Sun, Lingfang Xu, Haibing Chen, Mingshu Sun, Zhiqiang Li, Rui Li, Lidan Ma, Hui Zhang, Aichang Ji, Yuwei He, Na Wu, Le Yan, Robert Terkeltaub, Changgui Li   +13 more
wiley   +1 more source

Comparing the Performances of Support Vector Machines and Artificial Neural Networks for Predicting Coronary Artery Diseases: A Cross-Sectional Study. [PDF]

Cardiol Res Pract
Shariatnia S, Rajabi A, Ziaratban M, Salehi A, Vakili M.   +4 more
europepmc   +1 more source

Targeting Amastigote and Trypomastigote Phases: Multi‐Epitope Vaccine Strategy Against Trypanosoma cruzi

Biotechnology and Applied Biochemistry, EarlyView.
ABSTRACT Effective vaccines against Trypanosoma cruzi, the causative agent of Chagas disease, are urgently needed. Here, we report the design and in silico validation of a novel multiepitope vaccine construct targeting the key surface proteins ASP‐2 and gp82. Using a comprehensive immunoinformatics pipeline, we identified and selected 38 potent T‐cell (
Maria Karolaynne da Silva, Caio Patrício de Souza Sena, Davi Serradella Vieira, Magdi E. A. Zaki, Leow Chiuan Yee, Shahina Akter, Umberto Laino Fulco, Jonas Ivan Nobre Oliveira, João Firmino Rodrigues‐Neto   +8 more
wiley   +1 more source

Explainable Supervised Learning Classification Model Using Diffusion Tensor Imaging Predicts Postoperative Outcomes in Cervical Spondylotic Myelopathy: A Preliminary Study. [PDF]

JOR Spine
Peng Y, Zhang Z, Zhang Z, Shi K, Wang R, Liu Y, Zhang L.   +6 more
europepmc   +1 more source