Results 21 to 30 of about 112,281 (246)
Background The evidence base of tisagenlecleucel is uncertain.Objective To evaluate the cost-effectiveness of tisagenlecleucel. To conduct expected value of perfect information (EVPI) and partial EVPI (EVPPI) analyses.Study Design A three-state ...
Niamh Carey+4 more
doaj +1 more source
Scalable Fuzzy Decision Tree Induction Using Fast Data Partitioning and Incremental Approach for Large Dataset [PDF]
The decision tree is one of the popular methods for learning and reasoning through recursive partitioning of data space. To choose the best attribute in the case on numerical features, partitioning criteria should be calculated for individual values or ...
Somayeh Lotfi+3 more
doaj
Introduction Several studies demonstrate the therapeutic superiority of thrombolysis plus mechanical thrombectomy versus thrombolysis alone to treat stroke.
Rony Lenz-Alcayaga+3 more
doaj +1 more source
Des-q: a quantum algorithm to provably speedup retraining of decision trees [PDF]
Decision trees are widely adopted machine learning models due to their simplicity and explainability. However, as training data size grows, standard methods become increasingly slow, scaling polynomially with the number of training examples. In this work, we introduce Des-q, a novel quantum algorithm to construct and retrain decision trees for ...
arxiv +1 more source
Cost-effectiveness of running a paediatric oncology unit in Ethiopia
Objective To estimate the cost-effectiveness of running a paediatric oncology unit in Ethiopia to inform the revision of the Ethiopia Essential Health Service Package (EEHSP), which ranks the treatment of childhood cancers at a low and medium priority ...
Solomon Tessema Memirie+5 more
doaj +1 more source
Objective To evaluate the cost-effectiveness of clinical education models for undergraduate nursing programs. Methods A model-based cost-effectiveness analysis. Settings were universities with undergraduate nursing courses.
Wendel Mombaque dos Santos+1 more
doaj +2 more sources
UTBoost: Gradient Boosted Decision Trees for Uplift Modeling [PDF]
Uplift modeling comprises a collection of machine learning techniques designed for managers to predict the incremental impact of specific actions on customer outcomes. However, accurately estimating this incremental impact poses significant challenges due to the necessity of determining the difference between two mutually exclusive outcomes for each ...
arxiv +1 more source
Background: We evaluated the incremental value of [99mTc]sestamibi single photon-emission computed tomography (SPECT)/computed tomography (CT) over planar imaging for localization of abnormal parathyroid tissue in patients with primary ...
Roberta Assante+10 more
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Introduction: Hyperparathyroidism (SHPT) secondary to chronic kidney disease (CKD) is characterized by high levels of parathyroid hormone (PTH), hyperplasia of the parathyroid glands and cardiovascular disease.
Marilia Mastrocolla de Almeida Cardoso+5 more
doaj +2 more sources
Background: A decision analysis model was developed to assess the cost-effectiveness of adriamycin and cyclophosphamide (AC) in comparison with paclitaxel and gemcitabine (PG) in women with advanced breast cancer in Iran. Materials and Methods: This is a
Javad Javan-Noughabi+4 more
doaj +1 more source