Results 61 to 70 of about 3,376,231 (263)

Predicting Disease Progress with Imprecise Lab Test Results [PDF]

arXiv, 2021
In existing deep learning methods, almost all loss functions assume that sample data values used to be predicted are the only correct ones. This assumption does not hold for laboratory test data. Test results are often within tolerable or imprecision ranges, with all values in the ranges acceptable.
arxiv  

Glycosylated haemoglobin (HbA1c) and cortisol levels on admission to intensive care as predictors of outcome [PDF]

, 2009
Objective: To evaluate the predictive value of glycosylated haemoglobin and cortisol on admission, in critical care patients. Design: Prospective, observational, single centre study. Setting: 14 bedded Intensive care unit of a tertiary-level university
Abela, Carmel J., Farrugia, Daniel P., LaFerla, Godfrey, Sant, Federika, Sciberras, Stephen C., Zarb Adami, Joseph   +5 more
core  

The power of microRNA regulation—insights into immunity and metabolism

FEBS Letters, EarlyView.
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto, Nicola Manfrini, Stefano Biffo   +2 more
wiley   +1 more source

The lacey assessment of preterm infants: Predictive validity in early infancy

Archives of Medicine and Health Sciences, 2021
Background and Aim: The Lacey Assessment of Preterm Infants (LAPI) is reported to have low sensitivity but high specificity to predict neurological function.
Thanooja Naushad, Meena Natarajan
doaj   +1 more source

Zipper: Addressing degeneracy in algorithm-agnostic inference [PDF]

arXiv, 2023
The widespread use of black box prediction methods has sparked an increasing interest in algorithm/model-agnostic approaches for quantifying goodness-of-fit, with direct ties to specification testing, model selection and variable importance assessment.
arxiv  

Predictive models of syncope causes in an outpatient clinic [PDF]

, 2008
The investigation of unexplained syncope remains a challenging clinical problem. In the present study we sought to evaluate the diagnostic value of a standardized work-up focusing on non invasive tests in patients with unexplained syncope referred to a ...
Fromer, M., Gollut, E., Graf, D., Kappenberger, L., Mischler, C., Pruvot, E., Schlaepfer, J., van, M. G.   +7 more
core   +1 more source

Identification of novel small molecule inhibitors of ETS transcription factors

FEBS Letters, EarlyView.
ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla, Zary Forghany, Jin Ma, Johan G. Hollander, Ruta Nachane, Karoly Szuhai, Pancras C. W. Hogendoorn, Peter ten Dijke, Dipen Shah, David A. Baker   +9 more
wiley   +1 more source

Charlson Comorbidity Index and other predictors of in-hospital mortality among adults with community-acquired pneumonia [PDF]

Jornal Brasileiro de Pneumologia
Objective: To compare the performance of Charlson Comorbidity Index (CCI) with those of the mental Confusion, Urea, Respiratory rate, Blood pressure, and age = 65 years (CURB-65) score and the Pneumonia Severity Index (PSI) as predictors of all-cause in ...
Laura Fuchs Bahlis, Luciano Passamani Diogo, Sandra Costa Fuchs   +2 more
doaj   +4 more sources

Length of the middle finger of hand as a simple and reliable predictor of optimal size of uncuffed endotracheal tube in paediatric patients: An observational study

Indian Journal of Anaesthesia, 2021
Background and Aims: A recent study suggested middle finger length-based formula as a better predictive guide compared with age-based formula for selecting uncuffed endotracheal tubes (ETTs) in children.
Priyam Saikia, Rohan S Thottan
doaj   +1 more source

Bayesian Updating and Sequential Testing: Overcoming Inferential Limitations of Screening Tests [PDF]

arXiv, 2020
Bayes' Theorem confers inherent limitations on the accuracy of screening tests as a function of disease prevalence. We have shown in previous work that a testing system can tolerate significant drops in prevalence, up until a certain well-defined point known as the $prevalence$ $threshold$, below which the reliability of a positive screening test drops
arxiv