Results 181 to 190 of about 72,345 (262)
Machine learning approaches for predicting preventive maintenance costs of expressways in Xinjiang. [PDF]
Jia C, An J, Ma S, Dai X.
europepmc +1 more source
Prediction of LVEF improvement in patients with HFrEF and HFmrEF following treatment with Sacubitril/Valsartan. Workflow of this study investigating the functional capacity improvement in response to Sacubitrail/Valsartsan in a real‐world scenario of heart failure treatment.
Florian Appenzeller +8 more
wiley +1 more source
Predictive model of sarcopenia in chronic kidney disease: an integrated approach of bioinformatics, machine learning, and clinical validation. [PDF]
Zhang L, Wang T, Fan D, Ou S, Xu Y.
europepmc +1 more source
Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu +7 more
wiley +1 more source
Optimised hybrid late fusion deep learning model for cashew disease classification. [PDF]
K M, Sankaranarayanan S.
europepmc +1 more source
Abstract Objective Epilepsy affects ~1% of the global population and often requires lifelong antiseizure medication (ASM) therapy. Valproic acid (VPA) is a commonly prescribed first‐line ASM, yet only approximately half of patients achieve sustained seizure freedom. Treatment selection remains largely empirical.
Simeon Platte +15 more
wiley +1 more source
Multi-Stage State Assessment of Breakers Based on TCWGAN-GP and XGBoost Under Insufficient Samples. [PDF]
Sun L, Wang L, Wang J, Liu Z.
europepmc +1 more source
An algorithm for seizure detection in rodents
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky +9 more
wiley +1 more source
A model combining deep learning and ensemble learning for melanoma recognition via dermoscopy. [PDF]
Jiang J, Yang S.
europepmc +1 more source
Detection of focal impaired awareness seizures using a biometric shirt
Abstract Objective In recent years, seizure detection using wearable technology has gained significant attention in research. Most studies, however, have focused on detecting generalized or focal to bilateral tonic–clonic seizures. This study evaluates the feasibility of using a biometric shirt to detect focal impaired awareness seizures (FIAS) by ...
Jérôme St‐Jean +6 more
wiley +1 more source

