Background Marfan syndrome (MFS) is a multisystemic disorder caused by pathogenic (P) variants in the fibrillin-1 gene ( FBN1 ...
A growing body of experimental research suggests that using ChatGPT can boost short-term performance on some tasks, but may ...
Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...
Jallah, T.T. (2026) Beyond Financial Access: The Association between Financial Inclusion and Women’s Economic Empowerment in Montserrado County, Liberia. Open Access Library Journal, 13, 1-24. doi: 10 ...
Background Penetrance of breast cancer (BC) among women who carry pathogenic variants (PVs) in BRCA1 is incomplete, and the ...
Linear regression analyzes the relationship between two variables. Multiple regression examines several variables' effects on a single outcome. Both techniques predict an outcome based on historical ...
Objective Children and young people (CYP) with special educational needs (SENs) have an increased risk of psychopathology and ...
Based on this, this study retrospectively analyzes the clinical testing data of patients with diabetic nephropathy and those with simple diabetes mellitus to investigate the predictive value of ...
BACKGROUND: Medically tailored meals (MTM) have unanswered implementation questions. Providing MTM for a specific individual, ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Why you should embrace it in your workforce by Robert D. Austin and Gary P. Pisano Meet John. He’s a wizard at data analytics. His combination of mathematical ability and software development skill is ...
Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...