Results 31 to 40 of about 15,843,136 (243)

A scoping review of causal methods enabling predictions under hypothetical interventions

open access: yesDiagnostic and Prognostic Research, 2021
Background The methods with which prediction models are usually developed mean that neither the parameters nor the predictions should be interpreted causally. For many applications, this is perfectly acceptable.
Lijing Lin   +4 more
doaj   +1 more source

Application of prediction models in clinical research

open access: yesShanghai yufang yixue, 2023
Chronic diseases have become an important public health problem for people under 70 years of age worldwide, while also causing a great economic burden.
NIU Zheyun   +5 more
doaj   +1 more source

Characteristics of clinical prediction models.

open access: yes, 2019
Characteristics of clinical prediction models.
Rianne Oostenbrink (524467)   +5 more
core   +1 more source

Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder [PDF]

open access: yes, 2015
Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk.
Caesar, Sian   +958 more
core   +2 more sources

Extending BEHRT to UK Biobank: assessing transformer model performance in clinical prediction

open access: yesFrontiers in Digital Health
IntroductionTransformer-based models have shown strong potential for clinical prediction using electronic health record data, yet their performance can vary depending on modelling decisions and data characteristics.MethodsIn this study, we trained a ...
Yusuf Yildiz   +4 more
doaj   +1 more source

A predictive model for stunting among children under the age of three

open access: yesFrontiers in Pediatrics
BackgroundIn light of the global effort to eradicate stunting in childhood, the objective of this research endeavor was to assess the prevalence of stunting and associated factors, simultaneously construct and validate a risk prediction model for ...
Yuxiang Xiong   +5 more
doaj   +1 more source

Code to accompany Illusory Generalizability of Clinical Prediction Models

open access: yes, 2023
<p>Code to accompany <i>Illusory Generalizability of Clinical Prediction Models</i></p ...
Krumholz, Harlan   +11 more
core   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo   +9 more
wiley   +1 more source

Bootstrap prediction intervals in State Space models [PDF]

open access: yes, 2008
Prediction intervals in State Space models can be obtained by assuming Gaussian innovations and using the prediction equations of the Kalman filter, where the true parameters are substituted by consistent estimates.
Ruiz Ortega, Esther   +1 more
core   +2 more sources

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz   +12 more
wiley   +1 more source

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