Abstract: This study proposes a multivariate dynamic cost standard prediction model based on random forest; LSTM is combined with XGBoost to solve the problem of accuracy in predicting complex cost ...

Abstract: This paper conducts an in-depth analysis of the impact of various factors on outcomes using time series data, focusing on trend shifts in event sequences. First, the data are preprocessed, ...

model fitting 1-step predictions simulating interest rates from the Vasicek model with an fBM noise demos for simulations and real data simulation results from [1]. Use the class Vasicek in vasicek.py ...

aCentre for Cancer Screening, Prevention and Early Diagnosis, Wolfson Institute of Population Health, Queen Mary University of London, London, UK ...

eDepartment of Biochemistry and Molecular Biology II, Faculty of Pharmacy, Centre for Biomedical Research, Institute of Nutrition and Food Technology, Biosanitary Research Institute Granada, ...

Background: Gastrointestinal (GI) cancers account for 43.1% of cancer-related deaths in China, with aging populations exacerbating this burden. While chronic air pollution exposure is linked to GI ...

Objective People living with HIV (PLWH) are disproportionately affected by substance use disorder (SUD) and mood/anxiety disorders, which are barriers to sustained viral suppression and can contribute ...

Introduction Patients receiving long-term ventilation (LTV) in out-of-hospital intensive care facilities often suffer from persistent impairments of their cognition, mental health and physical health, ...

Clesrovimab is a long-acting investigational monoclonal antibody against site IV of the respiratory syncytial virus (RSV) fusion protein. Data regarding the safety and efficacy of clesrovimab in ...