An algorithm for seizure detection in rodents
Epilepsia Open, EarlyView.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
Development and validation of a multifactorial risk prediction model for breast cancer patients with co-occurring thyroid cancer: a retrospective matched case-control study. [PDF]
Front OncolYin J +7 more
europepmc +1 more source
Detection of focal impaired awareness seizures using a biometric shirt
Epilepsia Open, EarlyView.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
Energy Science &Engineering, EarlyView.Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen +4 more
wiley +1 more source
Leveraging machine learning for accurate forecasting of pulmonary tuberculosis epidemics in a coastal city in China. [PDF]
Trop Med HealthYang J, Pan J, Chen J, Xu Y, Zhang X.
europepmc +1 more source
Microengineering the Liver: Strategies for Constructing Functional Liver‐on‐a‐Chip Devices
Exploration, EarlyView.This review summarizes recent advances in liver‐on‐a‐chip (LOC) technologies, including fabrication strategies and functional integration approaches, and discusses their promising applications in drug screening and related biomedical fields. ABSTRACT Reliable in vitro liver models are indispensable for researching liver diseases and developing ...
Jie Wang +7 more
wiley +1 more source
A Machine Learning Model Integrating Systemic Immune-Inflammation Index for Predicting 28-Day Mortality in Geriatric Sepsis Secondary to Community-Acquired Bacterial Pneumonia. [PDF]
Clin Interv AgingXu Y, Chen W.
europepmc +1 more source
Random Integrated Subdata Ensemble Method for Key Variable Selection in Rare Event Setting
Journal of Forecasting, EarlyView.ABSTRACT We propose a general variable selection procedure to identify key input variables by applying elastic net regression to representative subdata in place of the full sample to select variables. We combine the lists of selected variables from each subdata through ensemble techniques, using the frequency of selecting the variable across different ...
Ching‐Chi Yang +3 more
wiley +1 more source
The role of anesthesia in TKA length of stay: a data-driven analysis using Boruta algorithm. [PDF]
Front Med (Lausanne)Fan L, Liu J, Ma L, Ren J.
europepmc +1 more source
Using DSGE and Machine Learning to Forecast Public Debt for France
Journal of Forecasting, EarlyView.ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos +4 more
wiley +1 more source