Results 81 to 90 of about 6,401,648 (288)

Interpretable machine learning model for predicting delirium in patients with sepsis: a study based on the MIMIC data

BMC Infectious Diseases
Objective The aim of this study was to construct interpretable machine learning models to predict the risk of developing delirium in patients with sepsis and to explore the impact of delirium on the 28-day survival rate of patients.
Jing Fu, Aifeng He, Lulu Wang, Xia Li, Jiangquan Yu, Ruiqiang Zheng   +5 more
doaj   +1 more source

Glucagon‐Like Peptide‐1 Receptor Agonists in Multiple Sclerosis: A Topical Narrative Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The glucagon‐like peptide‐1 (GLP‐1) receptor agonists (RAs) are a relatively new class of drugs that were initially approved by the US Food and Drug Administration to improve glycemic control in patients with type 2 diabetes mellitus and, subsequently, weight reduction in patients with obesity.
Audrey Y. Chang, Farrah J. Mateen
wiley   +1 more source

Association between estimation of pulse wave velocity and all-cause mortality in critically ill patients with ischemic stroke: a retrospective cohort study and predictive model establishment based on machine learning

BMC Neurology
Background Estimated pulse wave velocity (ePWV) has been established as a simple yet effective tool for assessing arterial stiffness and predicting long-term cardiovascular and cerebrovascular mortality.
Shuangmei Zhao, Chang Zhu, Yu Guo, Shiyin Ma, Chucheng Jiao, Liutao Sui, Rongyao Hou, Xiaoyan Zhu   +7 more
doaj   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

Hemoglobin variability predicts mortality in acute kidney injury patients undergoing continuous renal replacement therapy: a multi-database cohort study

Renal Failure
Background Short-term hemoglobin variability (Hb-ARV) during continuous renal replacement therapy (CRRT) may reflect blood volume instability in acute kidney injury (AKI), yet its mortality implications remain unclear.Methods This multi-database study ...
Yumin Huang, Ran Jiang, Kang Liu, Jinghang Li, Rongrong Sheng, Wei Xu, Huijuan Mao, Buyun Wu   +7 more
doaj   +1 more source

Data of patients with acute respiratory failure in the MIMIC IV database

, 2023
<p>MIMIC IV数据库中急性呼吸衰竭患者的数据。</p ...
zhao, huadong
core   +1 more source

Design of a Multistable Finger Prosthesis with Programmable Metamaterials

Advanced Engineering Materials, EarlyView.
This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz, Jannik Krohn, Alexander Leichner, Dilip Chalissery, Heiko Andrae, Chris Eberl   +5 more
wiley   +1 more source

Development and validation of a nomogram to predict mortality of patients with DIC in ICU

Frontiers in Medicine
BackgroundDisseminated intravascular coagulation (DIC) is a devastating condition, which always cause poor outcome of critically ill patients in intensive care unit. Studies concerning short-term mortality prediction in DIC patients is scarce. This study
Qingbo Zeng, Qingbo Zeng, Qingwei Lin, Lincui Zhong, Longping He, Nianqing Zhang, Jingchun Song   +6 more
doaj   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source