Results 141 to 150 of about 2,032,124 (281)

Algorithmic Probability Method Versus Kolmogorov Complexity with No-Threshold Encoding Scheme for Short Time Series: An Analysis of Day-To-Day Hourly Solar Radiation Time Series over Tropical Western Indian Ocean. [PDF]

Entropy (Basel), 2019
Bessafi M, Mihailović DT, Li P, Mihailović A, Chabriat JP.   +4 more
europepmc   +1 more source

A contemporary simple risk score for prediction of severe acute kidney injury after heart transplantation

ESC Heart Failure, Volume 12, Issue 2, Page 1166-1175, April 2025.
A contemporary simple risk score for prediction of severe AKI after HT. Abstract Background The aim of this study was to develop a simple risk score to estimate severe acute kidney injury (AKI) risk based on a large contemporary heart transplantation (HT) cohort.
Shuangshuang Zhu, Weihua Qiao, Yixuan Wang, Ying Zhou, Yin Xu, Shijie Wang, Tian Xia, Guohua Wang, Si Chen, Jiawei Shi, Nianguo Dong   +10 more
wiley   +1 more source

Calculating Kolmogorov complexity from the output frequency distributions of small Turing machines. [PDF]

PLoS One, 2014
Soler-Toscano F, Zenil H, Delahaye JP, Gauvrit N.   +3 more
europepmc   +1 more source

Epilepsy knowledge as an independent predictor of attitudes toward epilepsy among health services students: A cross‐sectional study

Epileptic Disorders, EarlyView.
Abstract Background Epilepsy is one of the most common neurological disorders worldwide and is frequently accompanied by stigma and misconceptions. Negative attitudes toward individuals with epilepsy may adversely affect social integration, access to healthcare, and quality of life. Healthcare students represent future professionals whose knowledge and
Ümit Kılıç, Serap Bayram
wiley   +1 more source

Prediction of protein structural features from sequence data based on Shannon entropy and Kolmogorov complexity. [PDF]

PLoS One, 2015
Bywater RP.
europepmc   +1 more source

Long‐lasting remodeling of astrocytes in an Scna1+/− mouse model of Dravet syndrome

Epilepsia, EarlyView.
Abstract Objective Dravet syndrome (DS) is a prototypical developmental and epileptic encephalopathy caused by mutations in the SCN1A gene, leading to loss of function of the voltage‐gated sodium channel Naᵥ1.1. The latter causes early onset drug‐resistant seizures and enduring cognitive and behavioral deficits.
Athénaïs Genin, Alicia Janvier, Tristan Moujellil‐Legagneur, Marine Blaquière, Alexis Chaussy, Romane Privé, Fabrice Duprat, Massimo Mantegazza, Etienne Audinat, Nicola Marchi, Noémie Cresto   +10 more
wiley   +1 more source

Maximizing Kolmogorov Complexity for accurate and robust bright field cell segmentation. [PDF]

BMC Bioinformatics, 2014
Mohamadlou H, Shope JC, Flann NS.
europepmc   +1 more source

Long‐term prognosis of pharmacotherapy in newly diagnosed focal epilepsy patients and the predictive value of baseline seizure timing: A prospective cohort study

Epilepsia, EarlyView.
Abstract Objective Epilepsy is a highly heterogeneous neurological disorder with significant prognostic variability. Accurate long‐term outcome prediction remains a clinical challenge. We investigated pharmacotherapeutic prognosis and key predictors, particularly baseline seizure timing, to guide individualized treatment.
Lei Sun, Shouye Sun, Xinyue Zhang, Weihong Lin   +3 more
wiley   +1 more source

Spike detection in the wild: Screening of suspected temporal lobe epilepsy cases using a tailored 2‐channel wearable EEG

Epilepsia Open, EarlyView.
Abstract Objective To clinically validate the contribution of a custom‐built EEG wearable device (waEEG) compared to a full 10–20 electrode array ambulatory EEG (aEEG) for screening epilepsy cases in patients with suspected temporal lobe epilepsy (TLE) but negative routine EEGs. Methods Patients (aged 16–91 years) with clinically suspected TLE who were
Daniel Filipe Borges, Joana Isabel Soares, Daniela Dias, Helena Cordeiro, Alberto Leal   +4 more
wiley   +1 more source

Comparative assessment of artificial intelligence chatbots' performance in responding to healthcare professionals' and caregivers' questions about Dravet syndrome

Epilepsia Open, EarlyView.
Abstract Objective Artificial intelligence chatbots have been a game changer in healthcare, providing immediate, round‐the‐clock assistance. However, their accuracy across specific medical domains remains under‐evaluated. Dravet syndrome remains one of the most challenging epileptic encephalopathies, with new data continuously emerging in the ...
Joana Jesus‐Ribeiro, Eugenia Roza, Bárbara Oliveiros, Joana Barbosa Melo, Mar Carreño   +4 more
wiley   +1 more source