Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...
Introduction Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy, but its impact is limited by low uptake ...
Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...
Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.
Robot mission replay tools market generated and predicted to grow from USD 1,483.6 million in 2025 to about USD ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Abstract: Quantifying the uncertainty of model outputs is crucial in improving the reliability of models in multi-target prediction. Therefore, we propose a multi-target joint distribution regression ...
Abstract: Multi-output symbolic regression involves predicting two or more target variables simultaneously, adding complexity compared to single-output symbolic regression due to the interdependence ...
Identifying risk factors enables physicians to implement targeted intervention strategies and preventive measures, aiming to reduce the disease burden and minimize the risk of relapse. Multiple ...
Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...
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