Results 161 to 170 of about 25,784,469 (265)

Available guidance for ethical challenges in learning health systems: an integrative literature review. [PDF]

Health Res Policy Syst
Laurijssen SJM, van der Graaf R, Groenwold RHH, de Vries MC, van Dijk WB, Schuit E.   +5 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Health care systems in transition: Portugal

, 2004
110 p.The Health Systems in Transition (HiT) series provide detailed descriptions of health systems in the countries of the WHO European Region as well as some additional OECD countries.
Dias, Carlos Matias, Sakellarides, Constantino, Bentes, Margarida, European Observatory on Health Systems and Policies, Bankauskaite, Vaida, World Health Organization. Regional Office for Europe   +5 more
core  

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Health care systems in transition: Turkey

, 2002
108 p.The Health Systems in Transition (HiT) series provide detailed descriptions of health systems in the countries of the WHO European Region as well as some additional OECD countries.
Saka, R Ömer, Thomson, Sarah, European Observatory on Health Systems and Policies, Mossialos, Elias, Savas, Serdar B, Karahan, Ömer, World Health Organization. Regional Office for Europe   +6 more
core  

From Evidence to Value: Integrating Evidence-Based Medicine, Patient Safety, Quality Improvement, Learning Health Systems, and Value-Based Healthcare. [PDF]

J Eval Clin Pract
Okabayashi T, Inada R, Imai T, Ozaki K, Hayashi K.   +4 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Health care systems in transition: Andorra

, 2004
73 p.The Health Systems in Transition (HiT) series provide detailed descriptions of health systems in the countries of the WHO European Region as well as some additional OECD countries.
Martínez, Ferrán, Rico, Ana, Dubois, Hans F W, European Observatory on Health Systems and Policies, Cetani, Teresa, World Health Organization. Regional Office for Europe   +5 more
core  

The bottleneck was never data or algorithms: building a learning utility for AI-enabled learning health systems. [PDF]

Npj Health Syst
Bian J, Afshar M, Scifres CM, Webber EC, Burton D, Vawdrey D, Wang F, Melton GB, Shah N, Patzer RE, Zhang Y.   +10 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source