AIMC Topic: Time Factors

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Estimating causal effects for survival (time-to-event) outcomes by combining classification tree analysis and propensity score weighting.

Journal of evaluation in clinical practice
RATIONALE, AIMS AND OBJECTIVES: A common approach to assessing treatment effects in nonrandomized studies with time-to-event outcomes is to estimate propensity scores and compute weights using logistic regression, test for covariate balance, and then...

Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System.

EBioMedicine
BACKGROUND: Seizure prediction can increase independence and allow preventative treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction system that is accurate, fully automated, patient-specific, and tunable to an...

Incidence and Predictors of Postoperative Need for High-Dose Inotropic Support in Patients Undergoing Cardiac Surgery for Infective Endocarditis.

Journal of cardiothoracic and vascular anesthesia
OBJECTIVE: Patients with infective endocarditis undergoing cardiac surgery are a high-risk population. Few data on incidence and predictors of need for high-dose inotropic support in this setting are currently available.

Assessment of hypoglycaemia during basal insulin therapy: Temporal distribution and risk of events using a predefined or an expanded definition of nocturnal events.

Diabetes & metabolism
AIM: To describe in type 2 diabetes the 24-hour distribution of hypoglycaemia and compare the frequency of nocturnal events based on a predefined nocturnal window or an expanded interval, using illustrative data for two insulin glargine formulations.

Spatiotemporal Bayesian networks for malaria prediction.

Artificial intelligence in medicine
Targeted intervention and resource allocation are essential for effective malaria control, particularly in remote areas, with predictive models providing important information for decision making. While a diversity of modeling technique have been use...

Production and characterization of a biosurfactant produced by Streptomyces sp. DPUA 1559 isolated from lichens of the Amazon region.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas
Surfactants are amphipathic compounds containing both hydrophilic and hydrophobic groups, capable to lower the surface or interfacial tension. Considering the advantages of the use of biosurfactants produced by microorganisms, the aim of this paper w...

Serum vitamin D deficiency and risk of hospitalization for heart failure: Prospective results from the Moli-sani study.

Nutrition, metabolism, and cardiovascular diseases : NMCD
BACKGROUND AND AIMS: Evidence indicates that Vitamin D deficiency may be associated with increased risk of cardiovascular disease, although findings on risk of heart failure (HF) are controversial. We investigated the relationship between serum Vitam...

Detection and prediction of driver drowsiness using artificial neural network models.

Accident; analysis and prevention
Not just detecting but also predicting impairment of a car driver's operational state is a challenge. This study aims to determine whether the standard sources of information used to detect drowsiness can also be used to predict when a given drowsine...

Impact of leakage delay on bifurcation in high-order fractional BAM neural networks.

Neural networks : the official journal of the International Neural Network Society
The effects of leakage delay on the dynamics of neural networks with integer-order have lately been received considerable attention. It has been confirmed that fractional neural networks more appropriately uncover the dynamical properties of neural n...