Classification tree analysis to evaluate the most useful magnetic resonance image type in the differentiation between early and progressed hepatocellular carcinoma
Sign Up to like & getrecommendations! Published in 2023 at "Cancer Medicine"
DOI: 10.1002/cam4.5589
Abstract: Using classification tree analysis, we evaluated the most useful magnetic resonance (MR) image type in the differentiation between early and progressed hepatocellular carcinoma (eHCC and pHCC). read more here.
Keywords: magnetic resonance; image type; resonance image; useful magnetic ... See more keywords
Decision tree analysis to stratify risk of de novo non-melanoma skin cancer following liver transplantation
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Cancer Research and Clinical Oncology"
DOI: 10.1007/s00432-018-2589-5
Abstract: PurposeNon-melanoma skin cancer (NMSC) is the most common de novo malignancy in liver transplant (LT) recipients; it behaves more aggressively and it increases mortality. We used decision tree analysis to develop a tool to stratify… read more here.
Keywords: tree analysis; risk; tree; decision tree ... See more keywords
Over-indebted Households in Poland: Classification Tree Analysis
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DOI: 10.1007/s11205-020-02505-6
Abstract: Increasing a personal debt burden implies greater financial vulnerability and threats for macroeconomic stability. It also generates a risk of the households over-indebtedness. The assessment of over-indebtedness is conducted with the use of various objective… read more here.
Keywords: indebtedness; households poland; indebted households; classification ... See more keywords
Fault Tree Analysis of floating offshore wind turbines
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DOI: 10.1016/j.renene.2018.08.097
Abstract: Abstract With the development of offshore wind power, the reliability analysis of offshore wind turbines is increasingly significant due to the system complexity and negative impacts in harsh operating conditions. In this study, the Fault… read more here.
Keywords: wind turbines; floating offshore; fault tree; offshore wind ... See more keywords
Parallel fault tree analysis for accurate reliability of complex systems
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DOI: 10.1016/j.strusafe.2017.12.003
Abstract: Abstract Fault tree analysis is one of the methods for the probabilistic risk assessment of components and subsystems of nuclear power plants. The algorithms that solve a fault tree have been until now serial. Instead,… read more here.
Keywords: fault; fault tree; complex systems; tree analysis ... See more keywords
Uncertainty Quantification in Fault Tree Analysis: Estimating Business Interruption due to Seismic Hazard
Sign Up to like & getrecommendations! Published in 2020 at "Natural Hazards Review"
DOI: 10.1061/(asce)nh.1527-6996.0000360
Abstract: AbstractThis paper presents an approach based on fault tree analysis and subset simulation for quantifying uncertainty in the risk assessment of complex industrial facilities. Downtime estimation o... read more here.
Keywords: fault tree; uncertainty quantification; tree analysis;
Prediction of Visual Prognosis after Epiretinal Membrane Surgery Using Regression Tree Analysis
Sign Up to like & getrecommendations! Published in 2021 at "Seminars in Ophthalmology"
DOI: 10.1080/08820538.2021.1896751
Abstract: ABSTRACT Background and Objective: Confounding factors should be considered when predicting visual prognosis after epiretinal membrane (ERM) surgery. We aimed to predict visual acuity after ERM surgery using regression tree analysis. Patients and Methods: We… read more here.
Keywords: surgery; visual prognosis; prognosis; regression tree ... See more keywords
Application of fuzzy fault tree analysis based on modified fuzzy AHP and fuzzy TOPSIS for fire and explosion in the process industry
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DOI: 10.1080/10803548.2018.1454636
Abstract: This study aimed at establishing fault tree analysis (FTA) using expert opinion to compute the probability of an event. To find the probability of the top event (TE), all probabilities of the basic events (BEs)… read more here.
Keywords: fault tree; tree analysis; probability;
Using classification tree analysis to generate propensity score weights
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Evaluation in Clinical Practice"
DOI: 10.1111/jep.12744
Abstract: RATIONALE, AIMS AND OBJECTIVES In evaluating non-randomized interventions, propensity scores (PS) estimate the probability of assignment to the treatment group given observed characteristics. Machine learning algorithms have been proposed as an alternative to conventional logistic… read more here.
Keywords: classification; regression; tree analysis; propensity ... See more keywords
Identifying causal mechanisms in health care interventions using classification tree analysis
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DOI: 10.1111/jep.12848
Abstract: RATIONALE, AIMS, AND OBJECTIVES Mediation analysis identifies causal pathways by testing the relationships between the treatment, the outcome, and an intermediate variable that mediates the relationship between the treatment and outcome. This paper introduces classification… read more here.
Keywords: mediation; treatment; tree analysis; cta ... See more keywords
Geriatric Assessment Predictors of 1-Year Mortality in Older Adults With GI Malignancies: A Survival Tree Analysis.
Sign Up to like & getrecommendations! Published in 2022 at "JCO clinical cancer informatics"
DOI: 10.1200/cci.22.00065
Abstract: PURPOSE Identifying older patients with GI malignancies who are at increased risk of mortality remains challenging. The goal of our study was to examine geriatric assessment (GA) predictors of 1-year mortality and explore the use… read more here.
Keywords: survival tree; tree analysis; year; mortality ... See more keywords