Results 51 to 60 of about 1,332,847 (317)

Prediction of in-hospital adverse clinical outcomes in patients with pulmonary thromboembolism, machine learning based models

Frontiers in Cardiovascular Medicine, 2023
BackgroundPulmonary thromboembolism (PE) is the third leading cause of cardiovascular events. The conventional modeling methods and severity risk scores lack multiple laboratories, paraclinical and imaging data.
Yaser Jenab, Kaveh Hosseini, Zahra Esmaeili, Saeed Tofighi, Hamid Ariannejad, Houman Sotoudeh   +5 more
doaj   +1 more source

Logistic response models with item interactions [PDF]

, 2011
Items that are clustered according to shared content may violate the principle of conditional independence commonly used in item response theory.
Revuelta Menéndez, Javier
core   +2 more sources

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Identifiability of multivariate logistic mixture models [PDF]

, 2014
Mixture models have been widely used in modeling of continuous observations. For the possibility to estimate the parameters of a mixture model consistently on the basis of observations from the mixture, identifiability is a necessary condition.
Han, JiQing, Shi, ZiQiang, Zheng, TieRan
core  

A Method for Compressing Parameters in Bayesian Models with Application to Logistic Sequence Prediction Models

, 2007
Bayesian classification and regression with high order interactions is largely infeasible because Markov chain Monte Carlo (MCMC) would need to be applied with a great many parameters, whose number increases rapidly with the order.
Li, Longhai, Neal, Radford M.
core   +2 more sources

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li, Raquel Revuelta Iniesta, Alan R. Barker, Dimitris Vlachopoulos, Tomáš Sláma, Christina Schindera, Fabiën N. Belle   +6 more
wiley   +1 more source

Modelo preditivo ao abandono do tratamento da tuberculose

Saúde em Debate
Objetivou-se construir um modelo preditivo tomando como variáveis explicativas as características dos indivíduos com tuberculose para definir o tratamento mais adequado. Pesquisa do tipo observacional descritiva, de abordagem quantitativa.
Eveline de Almeida Silva, Ulisses Umbelino dos Anjos, Jordana de Almeida Nogueira   +2 more
doaj   +1 more source

Neural networks versus Logistic regression for 30 days all-cause readmission prediction [PDF]

, 2018
Heart failure (HF) is one of the leading causes of hospital admissions in the US. Readmission within 30 days after a HF hospitalization is both a recognized indicator for disease progression and a source of considerable financial burden to the healthcare
Allam, Ahmed, Krauthammer, Michael, Nagy, Mate, Thoma, George   +3 more
core   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Analysis of risk factors for dismal prognosis of cryptococcal meningitis and construction of a Nomogram predictive model

Chinese Journal of Contemporary Neurology and Neurosurgery
Objective To analyze the risk factors for dismal prognosis in patients with cryptococcal meningitis and construct a prediction scoring system Nomogram model.
XIONG Bing-jie, CAO Piao, ZHANG Jun, ZHANG Hai-qing   +3 more
doaj   +1 more source