Results 71 to 80 of about 208,530 (213)

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

The 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, Leandro Barile Agati, Camilla Moreira Ribeiro, Valéria Cristina Resende Aguiar, Roberto Augusto Caffaro, Marisa da Silva Santos, Ricardo Ribeiro Alves Fernandes, Carlos Alberto da Silva Magliano, Alfonso Tafur, Alex C. Spyropoulos, Renato Delascio Lopes, Jawed Fareed, Eduardo Ramacciotti   +12 more
doaj   +1 more source

Extraction Methods for Small-Scale Features on a Large Scale: Investigating Object-Oriented Cart Decision Tree for Gravel Information Extraction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This study employs the object-oriented Cart (Classification and Regression Trees) decision tree methodology to delineate contiguous gravel areas within Zamu town.
Yuxin Chen, Weilai Zhang, Jiajia Yang, Yuanyuan Xu, Qian Yuan, Wuxue Cheng, Li Peng   +6 more
doaj   +1 more source

Cost-effectiveness of nirmatrelvir/ritonavir in COVID-19 patient groups at high risk for progression to severe COVID-19 in the Netherlands

Cost Effectiveness and Resource Allocation
Background Nirmatrelvir/ritonavir is indicated for the treatment of COVID-19 in symptomatic adults with increased risk for severe illness, not requiring supplemental oxygen yet. From a Dutch societal perspective, a cost-utility assessment of nirmatrelvir/
Carlos H. Arteaga Duarte, Michel L. Peters, Michelle H. M. de Goeij, Roy Spijkerman, Maarten J. Postma   +4 more
doaj   +1 more source

Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers

Complexity, 2018
Bayesian networks are useful machine learning techniques that are able to combine quantitative modeling, through probability theory, with qualitative modeling, through graph theory for visualization.
Gonzalo A. Ruz, Pamela Araya-Díaz
doaj   +1 more source

Intersection Traffic Prediction Using Decision Tree Models

Symmetry, 2018
Traffic prediction is a critical task for intelligent transportation systems (ITS). Prediction at intersections is challenging as it involves various participants, such as vehicles, cyclists, and pedestrians.
Walaa Alajali, Wei Zhou, Sheng Wen, Yu Wang   +3 more
semanticscholar   +1 more source

Cost-effectiveness analysis of CTZ/TAZ for the treatment of ventilated hospital-acquired bacterial pneumonia and ventilator-associated bacterial pneumonia in Japan

BMC Health Services Research
Background Resistant bacterial infections, particularly those caused by gram-negative pathogens, are associated with high mortality and economic burdens.
Risako Takaya, Nobuyoshi Mori, Eiko Saito, Sachiko Ohde   +3 more
doaj   +1 more source

An Incremental Method for Finding Multivariate Splits for Decision Trees [PDF]

, 1990
Decision trees that are limited to testing a single variable at a node are potentially much larger than trees that allow testing multiple variables at a node. This limitation reduces the ability to express concepts succinctly, which renders many classes of concepts difficult or impossible to express.
Paul E. Utgoff, Carla E. Brodley
openaire   +1 more source

Tenecteplase for ischemic stroke at 4.5 to 24 hours without thrombectomy: a cost-utility analysis from the perspective of Chinese healthcare system

Frontiers in Neurology
BackgroundTenecteplase improves functional outcomes in acute ischemic stroke (AIS) patients treated 4.5 to 24 h after symptom onset who do not undergo thrombectomy. However, its cost-utility remains unexamined.MethodsA hybrid model combining a short-term
Maolin Chen, Ying Yu, Baozhong Yu, Yudan Cao, Yake Lou, Yudong Ma   +5 more
doaj   +1 more source

Cost-effectiveness analysis of XELOX versus XELOX plus bevacizumab for metastatic colorectal cancer in a public hospital school

BMC Cancer, 2017
Background Metastatic colorectal cancer imposes a substantial burden on patients and society. Over the last years, progresses in the treatment have been made especially due to the introduction of monoclonal antibodies, such as bevacizumab which, on the ...
Andrea Queiróz Ungari, Leonardo Régis Leira Pereira, Altacílio Aparecido Nunes, Fernanda Maris Peria   +3 more
doaj   +1 more source

A cost-utility analysis of newborn screening for spinal muscular atrophy in Canada

Orphanet Journal of Rare Diseases
Background Spinal muscular atrophy (SMA) is a neuromuscular disorder caused by the loss of the SMN1 gene, with an estimated birth prevalence of about 1 in 10,000. Early intervention with disease-modifying therapies (DMTs) significantly improves outcomes.
Alex Pace, Weston Roda, Corrina Poon, Hugh J. McMillan, Maryam Oskoui, Alex MacKenzie, Pranesh Chakraborty, Jeff Round   +7 more
doaj   +1 more source