Results 101 to 110 of about 123,879 (289)

Cost-Effectiveness of Humidified High-Flow Therapy (HHFT) for COPD Patients on Long-Term Oxygen Therapy [Corrigendum]

open access: yesClinicoEconomics and Outcomes Research, 2023
Groessl EJ, Tally SR, Hillery N. Clinicoecon Outcomes Res. 2023;15:239—250. Page 244, Results, first paragraph, the text “The main results of the Markov decision tree model are presented in Table 2.
Groessl EJ, Tally SR, Hillery N
doaj  

Anisotropic Surface Microrollers for Endovascular Navigation: A Computational Analysis with a Case Study in Hepatic Perfusion

open access: yesAdvanced Theory and Simulations, EarlyView.
Computational fluid dynamics analyses assess the upstream locomotion performance of anisotropic microrollers with varying height‐to‐width ratios. Observing their successful upstream locomotion in veins, their performance in hepatic circulation is investigated for treating primary liver cancer.
Burak Arslan   +8 more
wiley   +1 more source

Reconstruction versus conservative treatment after rupture of the anterior cruciate ligament: cost effectiveness analysis

open access: yesBMC Health Services Research, 2011
Background The decision whether to treat conservatively or reconstruct surgically a torn anterior cruciate ligament (ACL) is an ongoing subject of debate.
Farshad Mazda   +5 more
doaj   +1 more source

Optimal Sparse Decision Trees

open access: yes, 2020
Decision tree algorithms have been among the most popular algorithms for interpretable (transparent) machine learning since the early 1980's. The problem that has plagued decision tree algorithms since their inception is their lack of optimality, or lack
Hu, Xiyang   +2 more
core  

Assessment and Comparative Study of Free and Commercial Numerical Software Packages for Lithium‐Ion Battery Modeling

open access: yesAdvanced Theory and Simulations, EarlyView.
This study evaluates the simulation capabilities of lithium‐ion battery (LIB) electrochemical simulation software packages. The benchmark simulation results reveal the impacts of parameter sensitivity to solver performance and stability. The guidelines to troubleshooting common solver failures at high current rates lowers the steep learning curve to ...
Kenneth C. Nwanoro   +2 more
wiley   +1 more source

Cost-effectiveness of two versus three or more doses of intermittent preventive treatment for malaria during pregnancy in sub-Saharan Africa: a modelling study of meta-analysis and cost data

open access: yesThe Lancet Global Health, 2015
Background: In 2012, WHO changed its recommendation for intermittent preventive treatment of malaria during pregnancy (IPTp) from two doses to monthly doses of sulfadoxine-pyrimethamine during the second and third trimesters, but noted the importance of ...
Silke Fernandes, MSc   +10 more
doaj   +1 more source

Design, Simulation, and Fabrication of High‐Performance Metamaterial Absorber for EMI Mitigation and THz NDT/Imaging Applications: A Shape‐Preserved GHz‐to‐THz Transition Approach

open access: yesAdvanced Theory and Simulations, EarlyView.
A novel metamaterial absorber is designed, simulated, and validated for both 5G mmWave and THz applications, achieving >95.8% and 90% absorption, respectively. Its polarization‐insensitive, scalable design enables applications in THz NDT, imaging, and EMI shielding.
Ahmet Teber
wiley   +1 more source

Cost-effectiveness analysis of extended thromboprophylaxis with rivaroxaban versus no prophylaxis in high-risk patients after hospitalisation for COVID-19: an economic modelling studyResearch in context

open access: yesThe Lancet Regional Health. Americas, 2023
Summary: Background: In patients at high risk of thromboembolism who were discharged after hospitalisation due to COVID-19, thromboprophylaxis with rivaroxaban 10 mg/day for 35 days significantly improved clinical outcomes, reducing thrombotic events ...
Caroline Cândida Carvalho de Oliveira   +12 more
doaj  

Incremental Predictive Process Monitoring: How to Deal with the Variability of Real Environments

open access: yes, 2018
A characteristic of existing predictive process monitoring techniques is to first construct a predictive model based on past process executions, and then use it to predict the future of new ongoing cases, without the possibility of updating it with new ...
Di Francescomarino, Chiara   +4 more
core  

Home - About - Disclaimer - Privacy