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
Correction: Physical and mental health management for the older adult using XGBoost algorithm supported by new media technology: developing personalized health intervention plans using healthcare data from the CLHLS database. [PDF]
Wang Y +6 more
europepmc +1 more source
Machine learning models were developed to predict material stability and sustainability of battery compounds using data‐driven descriptors. The random forest model demonstrated superior performance, enabling efficient screening and identification of environmentally sustainable and thermodynamically stable materials for next‐generation energy storage ...
Godfrey Perfectson Oise +3 more
wiley +1 more source
Physical and mental health management for the older adult using XGBoost algorithm supported by new media technology: developing personalized health intervention plans using healthcare data from the CLHLS database. [PDF]
Wang Y +6 more
europepmc +1 more source
Identifying drug‐resistant epilepsy using Swedish National Patient Registry data
Abstract Background Approximately 30% of individuals with epilepsy are drug‐resistant, suffering low quality of life and should be evaluated for other treatment modalities. Drug‐resistant epilepsy has no specific diagnostic code, making identification in national healthcare registers challenging and limiting epidemiological research based on register ...
Matilda Modigh +5 more
wiley +1 more source
Predicting higher risk factors for COVID-19 short-term reinfection in patients with rheumatic diseases: a modeling study based on XGBoost algorithm. [PDF]
Liang Y +5 more
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
Predicting anti-cancer drug sensitivity through WRE-XGBoost algorithm with weighted feature selection. [PDF]
Jiang Y, Chen M, Xiong Z, Qin Y.
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
ABSTRACT Objective Eating disorders are highly heterogeneous, challenging diagnostic classification and treatment personalisation. This study aimed to identify data‐driven phenotypes of anorexia nervosa and bulimia nervosa and examine their relationship with DSM‐5 diagnoses and short‐term treatment outcomes. Methods We analysed 809 female patients with
Andrea Zanola +5 more
wiley +1 more source

