Results 231 to 240 of about 26,996,454 (309)

The deep learning-based physical education course recommendation system under the internet of things. [PDF]

Heliyon
Zhen A, Wang X.
europepmc   +1 more source

Effects of Add‐On Icosapent Ethyl With Standard Treatment on Functional Outcomes and Inflammatory Biomarkers in Acute Ischemic Stroke: A Blinded Randomized Controlled Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ischemic stroke, a major cause of mortality and long‐term disability, results from the abrupt cessation of cerebral blood flow due to vascular occlusion or rupture. Icosapent Ethyl (EPA‐EE), approved for hypertriglyceridemia, has anti‐inflammatory and antithrombotic properties that may lessen ischemic damage.
Mitra Mahmoudi Meymand, Seyed Hossein Aghamiri, Saeed Mohmammad Soleymani, Shadiyeh Bararpoor Poshkohi, Samaneh Masoudi, Hadi Esmaily   +5 more
wiley   +1 more source

The emergency medical service dispatch recommendation system using simulation based on bed availability. [PDF]

BMC Health Serv Res
Xu YY, Weng SJ, Huang PW, Wang LM, Chen CH, Tsai YT, Tsai MC.   +6 more
europepmc   +1 more source

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

Knowledge graph driven medicine recommendation system using graph neural networks on longitudinal medical records. [PDF]

Sci Rep
Mishra R, Shridevi S.
europepmc   +1 more source

Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova, Jan Smeitink, Herma Renkema, Rosabeth White, Frankie Barton, Rachel Lyon, Jane Newman, Aye Moe, Yi Shiau Ng, Grainne Siobhan Gorman   +9 more
wiley   +1 more source

A social image recommendation system based on deep reinforcement learning. [PDF]

PLoS One
Ahmadkhani S, Moghaddam ME.
europepmc   +1 more source

Factors Associated With the Rising Trend in Self‐Reported Cognitive Disability Among U.S. Adults Aged 18–39 From 2013–2024

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon, Ka‐Ho Wong, Mirriam Mananah, Christopher D. Anderson, Ada Fenick, Amy Arnsten, Arman Fesharaki‐Zadeh, James C. McPartland, Mary L. Adams, Kevin N. Sheth   +9 more
wiley   +1 more source

Baseline Neuroinflammation Stratifies TSPO‐PET Response to Disease‐Modifying Therapy in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch, Markus Matilainen, Giulia N. Baldrighi, Marjo Nylund, Maija Saraste, Laura Airas   +5 more
wiley   +1 more source

An enhanced integrated fuzzy logic-based deep learning techniques (EIFL-DL) for the recommendation system on industrial applications. [PDF]

PeerJ Comput Sci
Rafique Y, Wu J, Muzaffar AW, Rafique B.
europepmc   +1 more source